Christian Igel

Christian Igel

Professor

Member of:

    ORCID: 0000-0003-2868-0856

    Introductory remarks on publicationslist

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


    Publication year:
    All
    1 - 266 out of 266Page size: 500
    1. 2024
    2. Published

      Equity through Access: A Case for Small-scale Deep Learning

      Selvan, Raghav, Pepin, B., Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 Mar 2024.

      Research output: Working paper › Preprint › Research

    3. E-pub ahead of print

      Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis

      Møller, Bjørn Leth, Lo, B. Z. S., Burisch, J., Bendtsen, Flemming, Vind, Ida, Ibragimov, Bulat & Igel, Christian, 2024, (E-pub ahead of print) In: KI - Künstliche Intelligenz. 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    4. Published

      Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

      Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. E-pub ahead of print

      Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register

      Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, Jonas Færch, Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Karamolegkou, Antonia, Igel, Christian, Rust, Phillip, Søgaard, Anders & Pedersen, C. B., 2024, (E-pub ahead of print) In: Scandinavian Journal of Public Health. p. 1-11

      Research output: Contribution to journal › Journal article › Research › peer-review

    6. Published

      Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions

      Mugabowindekwe, M., Brandt, M., Mukuralinda, A., Ciais, P., Reiner, F., Kariryaa, A., Igel, C., Chave, J., Mertz, O., Hiernaux, P., Tong, X., Rwanyiziri, G., Gominski, D., Li, S., Liu, S., Gasangwa, I., Hategekimana, Y., Ndoli, A., Nduwamungu, J., Saatchi, S. & 1 others, Fensholt, Rasmus, 2024, In: Communications Earth & Environment. 5, 1, 10 p., 113.

      Research output: Contribution to journal › Journal article › Research › peer-review

    7. 2023
    8. Published

      Allometric equations to estimate the dry mass of Sahel woody plants mapped with very-high resolution satellite imagery

      Hiernaux, P., Issoufou, H. B. A., Igel, Christian, Kariryaa, Ankit, Kourouma, M., Chave, J., Mougin, E. & Savadogo, P., 1 Feb 2023, In: Forest Ecology and Management. 529, 13 p., 120653.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Published

      Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

      Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

      Research output: Contribution to journal › Journal article › Research › peer-review

    10. Published

      Familiarity-Based Open-Set Recognition Under Adversarial Attacks

      Enevoldsen∗, P., Gundersen, C., Lang, Nico, Belongie, Serge & Igel, Christian, 2023, arXiv.org, 5 p.

      Research output: Working paper › Preprint › Research

    11. Published

      LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing

      Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, p. 1951-1957

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    12. Published

      MULTIFIN: A Dataset for Multilingual Financial NLP

      Jørgensen, R. K., Brandt, O., Hartmann, M., Dai, X., Igel, Christian & Elliott, Desmond, 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), p. 864-879

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    13. Published

      More than one quarter of Africa's tree cover is found outside areas previously classified as forest

      Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 others, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

      Research output: Contribution to journal › Journal article › Research › peer-review

    14. Published

      Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

      Mugabowindekwe, M., Brandt, M., Chave, J., Reiner, F., Skole, D. L., Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, J-P. B., Gieseke, F., Tucker, C. J., Saatchi, S. & 1 others, Fensholt, Rasmus, 2023, In: Nature climate change. 13, p. 91-97

      Research output: Contribution to journal › Journal article › Research › peer-review

    15. Published

      Predicting urban tree cover from incomplete point labels and limited background information

      Zhang, Hui, Kariryaa, Ankit, Guthula, Venkanna Babu, Igel, Christian & Oehmcke, Stefan, 2023, Urban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Omitaomu, O. A., Mostafavi, A. & Liu, Y. (eds.). Association for Computing Machinery, Inc., p. 52-60

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    16. Published

      Remember to Correct the Bias When Using Deep Learning for Regression!

      Igel, Christian & Oehmcke, Stefan, 2023, In: KI - Kunstliche Intelligenz. 37, 1, p. 33-40

      Research output: Contribution to journal › Journal article › Research › peer-review

    17. Published

      Sub-continental-scale carbon stocks of individual trees in African drylands

      Tucker, C., Brandt, M., Hiernaux, P., Kariryaa, A., Rasmussen, K., Small, J., Igel, C., Reiner, F., Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Fitts, Y., Morin, A., Pinzon, J., McClain, D., Morin, P., Porter, C., Loeffler, S. & 10 others, Kergoat, L., Issoufou, B., Savadogo, P., Wigneron, J., Poulter, B., Ciais, P., Kaufmann, R., Myneni, R., Saatchi, S. & Fensholt, Rasmus, 2023, In: Nature. 615, 7950, p. 80-86

      Research output: Contribution to journal › Journal article › Research › peer-review

    18. Published

      The Liver Tumor Segmentation Benchmark (LiTS)

      Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 others, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, Erik Bjørnager, Dou, Q., Fu, C., Georgescu, B., Giró-I-Nieto, X., Gruen, F., Han, X., Heng, P., Hesser, J., Moltz, J. H., Igel, Christian, Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K., Meine, H., Merhof, D., Pai, A., Perslev, Mathias, Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., 2023, In: Medical Image Analysis. 84, 24 p., 102680.

      Research output: Contribution to journal › Journal article › Research › peer-review

    19. Published

      The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe

      Liu, Siyu, Brandt, Martin Stefan, Nord-Larsen, Thomas, Chave, J., Reiner, Florian, Lang, Nico, Tong, Xiaoye, Ciais, P., Igel, Christian, Pascual, A., Guerra-hernandez, J., Li, Sizhuo, Mugabowindekwe, Maurice, Saatchi, S., Yue, Y., Chen, Z. & Fensholt, Rasmus, 2023, In: Science Advances. 9, 37, 15 p., eadh4097.

      Research output: Contribution to journal › Journal article › Research › peer-review

    20. Published

      Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

      Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 others, Gold, G. & Chaudhari, A., 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.

      Research output: Contribution to journal › Journal article › Research › peer-review

    21. 2022
    22. Published

      Deep learning based 3D point cloud regression for estimating forest biomass

      Oehmcke, Stefan, Li, Lei, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 Nov 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, Inc., p. 1-4 38

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    23. Published

      Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

      Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 Oct 2022, arxiv.org, 13 p.

      Research output: Working paper › Preprint › Research

    24. Published

      Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

      Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, Jan 2022, arXiv.org, 29 p.

      Research output: Working paper › Preprint › Research

    25. Published

      A Brief Overview of Unsupervised Neural Speech Representation Learning

      Borgholt, L., Havtorn, J. D., Edin, J., Maaløe, L. & Igel, Christian, 2022, Proceedings of 2nd Workshop on Self-supervised Learning for Audio and Speech Processing. Association for the Advancement of Artificial Intelligence, 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    26. Published

      Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

      Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.

      Research output: Contribution to journal › Journal article › Research › peer-review

    27. Published

      Are Multilingual Sentiment Models Equally Right for the Right Reasons?

      Jørgensen, R. K., Caccavale, F., Igel, Christian & Søgaard, Anders, 2022, Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 131–141

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    28. Published

      Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging

      Perslev, Mathias, West, A. S., Simonsen, S. A., Ponsaing, L. B., Iversen, Helle Klingenberg, Igel, Christian & Jennum, Poul, 2022, In: Journal of Sleep Research. 31, S1, 1 p.

      Research output: Contribution to journal › Conference abstract in journal › Research

    29. Published

      Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets

      Perslev, Mathias, Pai, A., Runhaar, J., Igel, Christian & Dam, Erik Bjørnager, 2022, In: Journal of Magnetic Resonance Imaging. 55, 2, p. 1650-1663

      Research output: Contribution to journal › Journal article › Research › peer-review

    30. Published

      Date Recognition in Historical Parish Records

      Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Lotz, Jonas Færch, Rust, Phillip, Rommedahl, J., Due, J. K., Igel, Christian, Elliott, Desmond, Pedersen, C. B., Salazar, I. & Søgaard, Anders, 2022, Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings. Porwal, U., Fornés, A. & Shafait, F. (eds.). Springer, p. 49-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13639 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    31. Published

      Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

      Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (eds.). Ljubljana: Jožef Stefan Institute , p. 13-19 7 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    32. Published

      High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network

      Lo, B., Liu, Z., Bendtsen, Flemming, Igel, Christian, Vind, Ida & Burisch, J., 2022, In: The American Journal of Gastroenterology. 117, 10, p. 1648-1654

      Research output: Contribution to journal › Journal article › Research › peer-review

    33. Published

      Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

      Diao, P., Pai, A., Igel, Christian & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer, p. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13437 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    34. Published

      Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

      Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 p.

      Research output: Working paper › Preprint › Research

    35. Published

      Self-Supervised Speech Representation Learning: A Review

      Mohamed, A., Lee, H. Y., Borgholt, L., Havtorn, J. D., Edin, J., Igel, Christian, Kirchhoff, K., Li, S. W., Livescu, K., Maaloe, L., Sainath, T. N. & Watanabe, S., 2022, In: IEEE Journal on Selected Topics in Signal Processing. 16, 6, p. 1179-1210

      Research output: Contribution to journal › Review › Research › peer-review

    36. 2021
    37. Published

      Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

      Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 Sep 2021, In: Scientific Reports. 11, 1, 10 p., 18959.

      Research output: Contribution to journal › Journal article › Research › peer-review

    38. Published

      U-Sleep: resilient high-frequency sleep staging

      Perslev, Mathias, Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 Apr 2021, In: npj Digital Medicine. 4, 1, 12 p., 72.

      Research output: Contribution to journal › Journal article › Research › peer-review

    39. Published

      Artificial intelligence surpasses gastrointestinal experts in the classification of endoscopic severity among Ulcerative Colitis

      The Presager Project, T. P. P., 2021, In: Journal of Crohn's & colitis. 15, Suppl. 1, p. S007-S007

      Research output: Contribution to journal › Conference abstract in journal › Research

    40. Published

      Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry

      Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 p.

      Research output: Working paper › Preprint › Research

    41. Published

      Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

      Wu, Yi-Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    42. Published

      Data, Knowledge, and Computation

      Igel, Christian, 2021, In: KI - Kunstliche Intelligenz. 35, p. 247–249

      Research output: Contribution to journal › Editorial › Research

    43. Published

      Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

      Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

      Research output: Contribution to journal › Journal article › Research › peer-review

    44. Published

      Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

      Jørgensen, R. K. & Igel, Christian, 2021, In: Intelligent Systems in Accounting, Finance and Management. 28, 3, p. 159-172

      Research output: Contribution to journal › Journal article › Research › peer-review

    45. Published

      On scaling contrastive representations for low-resource speech recognition

      Borgholt, L., Tax, T. M. S., Havtorn, J. D., Maaløe, L. & Igel, Christian, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Vol. 2021-June. p. 3885-3889

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    46. Published

      On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.

      Brügge, K., Fischer, A. & Igel, Christian, 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistic. PMLR, p. 469-477 (Proceedings of Machine Learning Research, Vol. 130).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    47. Published

      The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

      IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, In: Radiology. Artificial intelligence. 3, 3, 13 p., e200078.

      Research output: Contribution to journal › Journal article › Research › peer-review

    48. 2020
    49. Published

      Algorithms for estimating the partition function of restricted Boltzmann machines

      Krause, Oswin, Fischer, A. & Igel, Christian, Jan 2020, In: Artificial Intelligence. 278, 19 p., 103195.

      Research output: Contribution to journal › Journal article › Research › peer-review

    50. Published

      A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

      Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    51. Published

      A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge

      Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 others, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    52. Published

      Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)

      Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5045-5049 5 p. (IJCAI International Joint Conference on Artificial Intelligence, Vol. 2021-January).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    53. Published

      An unexpectedly large count of trees in the West African Sahara and Sahel

      Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., Romero, E. & 4 others, Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, In: Nature. 587, p. 78–82

      Research output: Contribution to journal › Journal article › Research › peer-review

    54. Published

      Do end-to-end speech recognition models care about context?

      Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Vol. 2020-October. p. 4352-4356

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    55. Published

      Label-Similarity Curriculum Learning

      Dogan, Ü., Deshmukh, A. A., Machura, M. B. & Igel, Christian, 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer VS, p. 174-190 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12374 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    56. Published

      Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

      Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    57. 2019
    58. Published

      U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

      Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 Oct 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Vol. 32. p. 4415-4426

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    59. Published

      Knowledge Distillation for Semi-supervised Domain Adaptation

      Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 1 Jan 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer VS, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    60. Published

      Accurate segmentation of dental panoramic radiographs with u-NETS

      Koch, T. L., Perslev, Mathias, Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, p. 15-19

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    61. Published

      Bigger buffer k-d trees on multi-many-core systems

      Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, p. 202-214 (Lecture Notes in Computer Science, Vol. 11333).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    62. Published

      Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, In: PLoS ONE. 14, 8, e0219533.

      Research output: Contribution to journal › Journal article › Research › peer-review

    63. Published

      On PAC-Bayesian bounds for random forests

      Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, In: Machine Learning. 108, 8-9, p. 1503-1522

      Research output: Contribution to journal › Journal article › Research › peer-review

    64. Published

      One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

      Perslev, Mathias, Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 30-38 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11765 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    65. Published

      PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

      Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    66. Published

      Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, J., Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, In: Europace. 21, 2, p. 268–274

      Research output: Contribution to journal › Journal article › Research › peer-review

    67. 2018
    68. Published

      Sparse incomplete LU-decomposition for wave farm designs under realistic conditions

      Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, p. 512-524 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11101 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    69. Published

      Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

      Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    70. Published

      Population-Contrastive-Divergence: Does consistency help with RBM training?

      Krause, Oswin, Fischer, A. & Igel, Christian, 2018, In: Pattern Recognition Letters. 102, p. 1-7

      Research output: Contribution to journal › Journal article › Research › peer-review

    71. Published

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

      Florescu, C. & Igel, Christian, 2018. 5 p.

      Research output: Contribution to conference › Paper › Research › peer-review

    72. Published

      Robust Active Label Correction

      Kremer, J., Sha, F. & Igel, Christian, 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. PMLR, Vol. 84. p. 308-316 9 p. (Proceedings of Machine Learning Research). (Proceedings of Machine Learning Research, Vol. 84).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    73. Published

      Training big random forests with little resources

      Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, p. 1445-1454

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    74. 2017
    75. Published

      Adaptive pattern recognition in real-time video-based soccer analysis

      Schlipsing, M., Salmen, J., Tschentscher, M. & Igel, Christian, Jun 2017, In: Journal of Real-Time Image Processing. 13, 2, p. 345–361 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    76. Published

      bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices

      Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 Mar 2017, In: Knowledge-Based Systems. 120, p. 1-3 3 p.

      Research output: Contribution to journal › Journal article › Research

    77. Published

      Editorial: project reports

      Igel, Christian, Mar 2017, In: KI - Künstliche Intelligenz. 31, 1, p. 1-1 1 p.

      Research output: Contribution to journal › Editorial › Research

    78. Published

      A strongly quasiconvex PAC-Bayesian bound

      Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (eds.). Proceedings of Machine Learning Research, p. 466-492 (Proceedings of Machine Learning Research, Vol. 76).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    79. Published

      Big universe, big data: machine learning and image analysis for astronomy

      Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    80. Published

      Characterization of errors in deep learning-based brain MRI segmentation

      Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    81. Published

      Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

      Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, In: NeuroImage: Clinical. 13, p. 470-482 13 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    82. Published

      FOGA 2017 chairs' welcome (Editorial)

      Igel, Christian, Sudholt, D. & Witt, C., 2017, FOGA 2017 - Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, p. iii

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

    83. Published

      Massively-parallel best subset selection for ordinary least-squares regression

      Gieseke, F., Polsterer, K. L., Mahabal, A., Igel, Christian & Heskes, T., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, p. 1-8 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    84. Published

      Qualitative and quantitative assessment of step size adaptation rules

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2017, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, p. 139-148 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    85. Published

      Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

      Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    86. 2016
    87. Published

      A unified view on multi-class support vector classification

      Doğan, Ü., Glasmachers, T. & Igel, Christian, 2016, In: Journal of Machine Learning Research. 17, 32 p., 45.

      Research output: Contribution to journal › Journal article › Research › peer-review

    88. Published

      CMA-ES with optimal covariance update and storage complexity

      Krause, Oswin, Rodríguez Arbonès, D. & Igel, Christian, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Curran Associates, Inc., p. 370-378 9 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    89. Published

      Early detection of Alzheimer's disease using MRI hippocampal texture

      Sørensen, L., Igel, Christian, Hansen, N. L., Osler, Merete, Lauritzen, Martin, Rostrup, Egill & Nielsen, Mads, 2016, In: Human Brain Mapping. 37, 3, p. 1148-1161 14 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    90. Published

      Evolutionary kernel learning

      Igel, Christian, 2016, Encyclopedia of machine learning and data mining. Sammut, C. & Webb, G. I. (eds.). Springer, 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research › peer-review

    91. Published

      Integrated optimization of long-range underwater signal detection, feature extraction, and classification for nuclear treaty monitoring

      Tuma, M., Rørbech, V., Prior, M. K. & Igel, Christian, 2016, In: IEEE Transactions on Geoscience and Remote Sensing. 54, 6, p. 3649-3659 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    92. Published

      Learning density independent texture features

      Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (eds.). Springer, p. 299-306 8 p. (Lecture notes in computer science, Vol. 9699).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    93. Published

      MCI trial enrichment using MRI hippocampus texture

      Sørensen, L., Igel, Christian & Nielsen, Mads, 2016, In: Alzheimer's & Dementia. 12, 7, Supplement, p. P108–P109 2 p., IC-P-146.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    94. Published

      Multi-objective optimization with unbounded solution sets

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 p.

      Research output: Contribution to conference › Paper › Research › peer-review

    95. Published

      Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

      Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian, Doser, B. & Gianniotis, N., 2016, Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, p. 405-410 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    96. Published

      Separating timing, movement conditions and individual differences in the analysis of human movement

      Raket, L. L., Grimme, B., Schöner, G., Igel, Christian & Markussen, Bo, 2016, In: PLoS Computational Biology. 12, 9, p. e1005092 27 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    97. Published

      Unbounded population MO-CMA-ES for the bi-objective BBOB test suite

      Krause, Oswin, Glasmachers, T., Hansen, N. & Igel, Christian, 2016, Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 1177-1184 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    98. Published

      Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

      Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1322-1331 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    99. 2015
    100. Published

      A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2015, In: Theoretical Computer Science. 598, p. 102-117 16 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    101. Published

      A more efficient rank-one covariance matrix update for evolution strategies

      Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, p. 129-136 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    102. Published

      Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, p. 109 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    103. Published

      Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, p. 218 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    104. Published

      Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

      Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, 1, Supplement, 1 p., B-0212.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    105. Published

      Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

      Polsterer, K. L., Gieseke, Fabian Cristian & Igel, Christian, 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (eds.). Astronomical Society of the Pacific, Vol. 24. p. 81-86 6 p. (ASP Conference Series, Vol. 495).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    106. Published

      Computational complexity of linear large margin classification with ramp loss

      Maibing, S. F. & Igel, Christian, 2015, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015. Lebanon, G. & Vishwanathan, S. V. N. (eds.). p. 259-267 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 38).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    107. Published

      High-school dropout prediction using machine learning: a Danish large-scale study

      Şara, N., Halland, R., Igel, Christian & Alstrup, Stephen, 2015, Proceedings. ESANN 2015: 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 319-324 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    108. Published

      Hippocampal MRI texture is related to hippocampal glucose metabolism

      Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2015, In: Alzheimer's & Dementia. 11, 7, Supplement, p. P55-P56 2 p., IC-P-077.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    109. Published

      Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects

      Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, In: Neurodegenerative Diseases. 15, Suppl. 1, p. 262 1 p., ADPD5-0947.

      Research output: Contribution to journal › Conference abstract in journal › Research

    110. Published

      Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

      Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    111. Published

      Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

      Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, Supplement 1, 1 p., B-0077.

      Research output: Contribution to journal › Conference abstract in journal › Research

    112. Published

      Nearest neighbor density ratio estimation for large-scale applications in astronomy

      Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    113. Published

      Population Monte Carlo meets contrastive divergence learning

      Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (eds.). p. 93-94 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research › peer-review

    114. 2014
    115. Published

      Active learning with support vector machines

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

      Research output: Contribution to journal › Review › Research › peer-review

    116. Published

      Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

      Rodríguez Arbonès, D., Jensen, H. G., Loft, A., af Rosenschöld, P. M., Hansen, A. E., Igel, Christian & Darkner, Sune, 2014, Medical Imaging 2014: Image Processing. Ourselin, S. & Styner, M. A. (eds.). SPIE - International Society for Optical Engineering, 8 p. 903441. (Progress in Biomedical Optics and Imaging; No. 35, Vol. 15).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    117. Published

      Buffer k-d trees: processing massive nearest neighbor queries on GPUs

      Gieseke, Fabian Cristian, Heinermann, J., Oancea, Cosmin Eugen & Igel, Christian, 2014, Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    118. Published

      Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry

      Sørensen, L., Pai, A. S. U., Anker, C., Balas, I., Lillholm, Martin, Igel, Christian & Nielsen, Mads, 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (eds.). Erasmus Universiteit Rotterdam, p. 111-118 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    119. Published

      Improving the performance of photometric regression models via massive parallel feature selection

      Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (eds.). Astronomical Society of the Pacific, Vol. 485. p. 425-428 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    120. Published

      Kernel-based machine learning techniques for infrasound signal classification

      Tuma, M., Igel, Christian & Mialle, P., 2014, In: Geophysical Research Abstracts. 16, 11th European Geosciences Union General Assembly, 1 p., EGU2014-7720.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    121. Published

      No free lunch theorems: limitations and perspectives of metaheuristics

      Igel, Christian, 2014, Theory and principled methods for the design of metaheuristics. Borenstein, Y. & Moraglio, A. (eds.). Springer, p. 1-23 23 p. (Natural Computing Series).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    122. Published

      Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computation (GECCO 2014)

      Igel, Christian (ed.) & Arnold, D. (ed.), 2014, Association for Computing Machinery. 1450 p.

      Research output: Book/Report › Book › Research › peer-review

    123. Published

      Speedy greedy feature selection: better redshift estimation via massive parallelism

      Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    124. Published

      Support vector machines for active learning

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . p. 38 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    125. Published

      Training restricted Boltzmann machines: an introduction

      Fischer, A. & Igel, Christian, 2014, In: Pattern Recognition. 47, 1, p. 25-39 15 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    126. Published

      Validation of hippocampal texture for early Alzheimer’s disease detection: generalization to independent cohorts and extrapolation to very early signs of dementia

      Sørensen, L., Igel, Christian, Hansen, N. L., Lauritzen, Martin, Osler, Merete, Rostrup, Egill & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P133 1 p.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    127. 2013
    128. Published

      A note on generalization loss when evolving adaptive pattern recognition systems

      Igel, Christian, 2013, In: I E E E Transactions on Evolutionary Computation. 17, 3, p. 345-352 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    129. Published

      Approximation properties of DBNs with binary hidden units and real-valued visible units

      Krause, Oswin, Fischer, A., Glasmachers, T. & Igel, Christian, 2013, Proceedings of the 30th International Conference on Machine Learning. Dasgupta, S. & McAllester, D. (eds.). p. 419-426 8 p. (JMLR: Workshop and Conference Proceedings, Vol. 28).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    130. Published

      Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

      Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    131. Published

      Detection of traffic signs in real-world images: the German traffic sign detection benchmark

      Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M. & Igel, Christian, 2013, Proceedings of International Joint Conference on Neural Networks. IEEE Computer Society Press, p. 715-722 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    132. Published

      Echtzeit-Videoanalyse im Fußball

      Schlipsing, M., Salmen, J. & Igel, Christian, 2013, In: KI - Künstliche Intelligenz. 27, 3, p. 235-240 6 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    133. Published

      Femoral cartilage segmentation in knee MRI scans using two stage voxel classification

      Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2013, 35th Annual International Conference of the IEEE; Engineering in Medicine and Biology Society (EMBC), 2013. IEEE, p. 5469-5472 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    134. Published

      GECCO '13: Proceedings of the 2013 Genetic and Evolutionary Computation Conference

      Blum, C. (ed.), Alba, E. (ed.), Auger, A. (ed.), Bacardit, J. (ed.), Bongard, J. (ed.), Branke, J. (ed.), Bredeche, N. (ed.), Brockhoff, D. (ed.), Chicano, F. (ed.), Dorin, A. (ed.), Doursat, R. (ed.), Ekart, A. (ed.), Friedrich, T. (ed.), Giacobini, M. (ed.), Harman, M. (ed.), Iba, H. (ed.), Igel, C. (ed.), Jansen, T. (ed.), Kovacs, T. (ed.), Kowaliw, T. (ed.) & 20 others, Lopez-Ibanez, M. (ed.), Lozano, J. A. (ed.), Luque, G. (ed.), McCall, J. (ed.), Moraglio, A. (ed.), Motsinger-Reif, A. (ed.), Neumann, F. (ed.), Ochoa, G. (ed.), Olague, G. (ed.), Ong, Y. (ed.), Palmer, M. E. (ed.), Pappa, G. L. (ed.), Parsopoulos, K. E. (ed.), Schmickl, T. (ed.), Smith, S. L. (ed.), Solnon, C. (ed.), Stuetzle, T. (ed.), Talbi, E. (ed.), Tauritz, D. (ed.) & Vanneschi, L. (ed.), 2013, Association for Computing Machinery.

      Research output: Book/Report › Book › Research › peer-review

    135. Published

      Hippocampal texture predicts conversion from MCI to Alzheimer's disease

      Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P581 1 p.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    136. Published

      Hippocampal texture predicts conversion from MCI to Alzheimer's disease

      Sørensen, L., Igel, Christian & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P52 1 p.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    137. Published

      Hippocampal texture predicts one-year hippocampal atrophy in mild cognitively impaired subjects

      Sørensen, L., Pai, A. S. U., Mysling, P., Darkner, Sune, Chen, G., Oh, J., Suhy, J., Igel, Christian & Nielsen, Mads, 2013. 1 p.

      Research output: Contribution to conference › Poster › Research › peer-review

    138. Published

      Investigation of kernel-based machine learning techniques for infrasound signal classification

      Tuma, M. & Igel, Christian, 2013. 1 p.

      Research output: Contribution to conference › Poster › Research

    139. Published

      Joint optimization of a signal processing chain for hydroacoustic signal classification

      Tuma, M., Igel, Christian & Prior, M., 2013. 1 p.

      Research output: Contribution to conference › Poster › Research

    140. Published

      Linear feature selection in texture analysis - A PLS based method

      Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, In: Machine Vision & Applications. 24, 7, p. 1435-1444 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    141. Published

      Nearest neighbor classification using bottom-k sketches

      Dahlgaard, S., Igel, Christian & Thorup, Mikkel, 2013, 2013 IEEE International Conference on Big Data: proceedings. IEEE, p. 28-34 7 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    142. Published

      Nearest neighbour regression outperforms model-based prediction of specific star formation rate

      Stensbo-Smidt, K., Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2013, 2013 IEEE International Conference on Big Data. IEEE, p. 141-144 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    143. Published

      Polynomial runtime bounds for fixed-rank unsupervised least-squares classification

      Gieseke, Fabian Cristian, Pahikkala, T. & Igel, Christian, 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (eds.). Vol. 29. p. 62-71 10 p. (JMLR: Workshop and Conference Proceedings, Vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    144. Published

      Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computation (GECCO 2013)

      Blum, C. (ed.) & Igel, Christian (ed.), 2013, Association for Computing Machinery. 1766 p.

      Research output: Book/Report › Book › Research › peer-review

    145. Published

      Shape index descriptors applied to texture-based galaxy analysis

      Steenstrup Pedersen, Kim, Stensbo-Smidt, K., Zirm, A. W. & Igel, Christian, 2013, 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 2440-2447 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    146. Published

      Speeding up many-objective optimization by Monte Carlo approximations

      Bringmann, K., Friedrich, T., Igel, Christian & Voß., T., 2013, In: Artificial Intelligence. 204, p. 22-29 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    147. Published

      The flip-the-state transition operator for restricted Boltzmann machines

      Brügge, K., Fischer, A. & Igel, Christian, 2013, In: Machine Learning. 93, 1, p. 53-69 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    148. 2012
    149. Published

      A note on extending generalization bounds for binary large-margin classifiers to multiple classes

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Flach, P. A., Bie, T. D. & Cristianini, N. (eds.). Springer, p. 122-129 8 p. (Lecture notes in computer science, Vol. 7523).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    150. Published

      An introduction to restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2012, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. Alvarez, L., Mejail, M., Gomez, L. & Jacobo, J. (eds.). Springer, p. 14-36 23 p. (Lecture notes in computer science, Vol. 7441).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    151. Published

      Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

      Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2012, Medical Imaging 2012: Image Processing. Haynor, D. R. & Ourselin, S. (eds.). SPIE - International Society for Optical Engineering, Vol. 8314. 9 p. 83144V. (SPIE Proceedings, Vol. 8314).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    152. Published

      Evolutionary kernel machines

      Kramer, O., Igel, Christian & Rudolph, G., 2012, In: Evolutionary Intelligence. 5, 3, p. 151-152 2 p.

      Research output: Contribution to journal › Editorial › Research

    153. Published

      Hippocampal texture provides volume independent information for Alzheimer's diagnosis

      Sørensen, L., Pai, A. S. U., Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, Mads, 2012, In: Alzheimer's & Dementia. 8, 4, Supplement, p. 15 1 p., IC-P-013.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    154. Published

      Hippocampal texture provides volume-independent information for Alzheimer's disease diagnosis

      Sørensen, L., Pai, A. S. U., Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, M., 2012, In: Alzheimer's & Dementia. 8, 4, Supplement, p. P162–P163 2 p.

      Research output: Contribution to journal › Conference abstract in journal › Research

    155. Published

      Hydroacoustic signal classification using support vector machines

      Tuma, M., Igel, Christian & Prior, M., 2012, Signal and image processing for remote sensing: Second Edition. Chen, C. H. (ed.). 2 ed. CRC Press, p. 37-56 20 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    156. Published

      Introduction to the special issue on machine learning for traffic sign recognition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2012, In: I E E E Transactions on Intelligent Transportation Systems. 13, 4, p. 1481-1483 3 p.

      Research output: Contribution to journal › Editorial › Research

    157. Published

      Learning ∈ artificial intelligence ∩ cognitive technologies ∩ neural computation ∩ …

      Igel, Christian, 2012, In: KI - Künstliche Intelligenz. 26, 3, p. 209-212 4 p.

      Research output: Contribution to journal › Editorial › Research

    158. Published

      Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2012, In: Neural Networks. 32, p. 323-332 10 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    159. Published

      Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO 2012)

      Soule, T. (ed.), Auger, A. (ed.), Blum, C. (ed.), Branke, J. (ed.), Bredeche, N. (ed.), Browne, W. N. (ed.), Clark, J. A. (ed.), Deb, K. (ed.), Dorin, A. (ed.), Doursat, R. (ed.), Ekart, A. (ed.), Friedrich, T. (ed.), Gustafson, S. (ed.), Hornby, G. S. (ed.), Igel, C. (ed.), Kovacs, T. (ed.), Landa-Silva, D. (ed.), Lobo, F. G. (ed.), Pappa, G. L. (ed.), Lozano, J. A. (ed.) & 18 others, Meyer-Nieberg, A. (ed.), Motsinger, A. (ed.), Neumann, F. (ed.), Ochoa, G. (ed.), Olague, G. (ed.), Ong, Y. (ed.), Pelikan, M. (ed.), Pelta, D. (ed.), Pizzuti, C. (ed.), Preuss, M. (ed.), Rowe, J. (ed.), Smith, S. L. (ed.), Solnon, C. (ed.), Squillero, G. (ed.), Tauritz, D. (ed.), Wong, M. L. (ed.), Yoo, S. (ed.) & Yu, T. (ed.), 2012, Association for Computing Machinery. 1368 p.

      Research output: Book/Report › Book › Research › peer-review

    160. Published

      Towards exaggerated emphysema stereotypes

      Chen, C., Sørensen, L., Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, A., de Bruijne, Marleen & Nielsen, Mads, 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    161. Published

      Turning binary large-margin bounds into multi-class bounds

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012. 2 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    162. 2011
    163. Published

      Bounding the bias of contrastive divergence learning

      Fischer, A. & Igel, Christian, 2011, In: Neural Computation. 23, 3, p. 664-673 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    164. Published

      Fast training of multi-class support vector machines

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2011, University of Copenhagen. 19 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 03, Vol. 2011).

      Research output: Book/Report › Report › Research

    165. Published

      Huge music archives on mobile devices: toward an automated dynamic organization

      Blume, H., Bischl, B., Botteck, M., Igel, Christian, Martin, R., Rötter, G., Rudolph, G., Theimer, W., Vatolkin, I. & Weihs, C., 2011, In: IEEE Signal Processing Magazine. 28, 4, p. 24-39 16 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    166. Published

      Improved working set selection for LaRank

      Tuma, M. & Igel, Christian, 2011, Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011 Seville, Spain, August 29-31, 2011 Proceedings, Part I. Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A. & Kropatsch, W. (eds.). Springer, p. 327-334 8 p. (Lecture notes in computer science, Vol. 6854).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    167. Published

      Non-linearly increasing resampling in racing algorithms

      Heidrich-Meisner, V. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (ed.). p. 465-470 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    168. Published

      Real-time estimation of optical flow based on optimized haar wavelet features

      Salmen, J., Caup, L. & Igel, Christian, 2011, Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings. Takahashi, R. H. C., Deb, K., Wanner, E. F. & Greco, S. (eds.). Springer, p. 448-461 14 p. (Lecture notes in computer science, Vol. 6576).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    169. Published

      The German traffic sign recognition benchmark: a multi-class classification competition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2011, Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1453-1460 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    170. Published

      The logarithmic hypervolume indicator

      Friedrich, T., Bringmann, K., Voß, T. & Igel, Christian, 2011, Proceedings of the 11th Workshop on Foundations of genetic algorithms : FOGA '11. Beyer, H-G. & Langdon, W. B. (eds.). Association for Computing Machinery, p. 81-91 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    171. Published

      Towards exaggerated image stereotypes

      Chen, C., Lauze, Francois Bernard, Igel, Christian, Feragen, A., Loog, M. & Nielsen, Mads, 2011, Proceedings of The First Asian Conference on Pattern Recognition 2011, . p. 422-426 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    172. Published

      Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives

      Fischer, A. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (ed.). ESANN , p. 495-500 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    173. 2010

    174. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

      Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, In: P L o S Computational Biology. 6, 9, 14 p., e1000919.

      Research output: Contribution to journal › Journal article › Research › peer-review

    175. Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty

      Tuma, M. & Igel, Christian, 2010, Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). p. 361 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    176. Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    177. Challenges in training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (eds.). p. 11-24 14 p. (Machine Learning Reports; No. 04/2010).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    178. Direct policy search: intrinsic vs. extrinsic perturbations

      Heidrich-Meisner, V. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation . Hammer, B. & Villmann, T. (eds.). p. 33-39 7 p. (Machine Learning Reports, Vol. 04/2010).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    179. Editorial: special issue on organic computing

      Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, In: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, p. 1-3 3 p.

      Research output: Contribution to journal › Editorial › Research

    180. Efficient update of the covariance matrix inverse in iterated linear discriminant analysis

      Salmen, J., Schlipsing, M. & Igel, Christian, 2010, In: Pattern Recognition Letters. 31, 1, p. 1903 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    181. Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Diamantaras, K., Duch, W. & Iliadis, L. S. (eds.). Springer, p. 208-217 10 p. (Lecture notes in computer science, Vol. 6354).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    182. Evolutionary kernel learning

      Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (eds.). Springer, 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research › peer-review

    183. Hydroacoustic signal classification using kernel functions for variable feature sets

      Tuma, M., Igel, Christian & Prior, M., 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition: ICPR. IEEE Computer Society Press, p. 1011-1014 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    184. Improved step size adaptation for the MO-CMA-ES

      Voß, T., Hansen, N. & Igel, Christian, 2010, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, p. 487-494 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    185. Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters

      Glasmachers, T. & Igel, Christian, 2010, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 8, p. 1522-1528 7 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    186. Neuroevolution strategies

      Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 6 1 p. (Dagstuhl Seminar Proceedings, Vol. 10302).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    187. New uncertainty handling strategies in multi-objective evolutionary optimization

      Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (eds.). Springer, p. 260-269 10 p. (Lecture notes in computer science, Vol. 6239).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    188. Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study

      Voß, T., Friedrich, T., Bringmann, K. & Igel, Christian, 2010, Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, p. 1975-1978 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    189. Second-order SMO for SVM online learning

      Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 5-6 2 p. (Dagstuhl Seminar Proceedings, Vol. 10302).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    190. Structure optimization of reservoir networks

      Roeschies, B. & Igel, Christian, 2010, In: Logic Journal of the IGPL. 18, 5, p. 635-669 35 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    191. 2009

    192. A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli

      Markounikau, V., Igel, Christian & Jancke, D., 2009, In: Frontiers in Computational Neuroscience.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    193. Contrastive divergence learning may diverge when training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2009, In: Frontiers in Computational Neuroscience.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    194. Efficient covariance matrix update for variable metric evolution strategies

      Suttorp, T., Hansen, N. & Igel, Christian, 2009, In: Machine Learning. 75, 2, p. 167-197 31 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    195. Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, p. 401-408 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    196. Kernel-based machine learning techniques for hydroacoustic signal classification

      Tuma, M. & Igel, Christian, 2009, International Scientific Studies Conference (ISS09): book of abstracts. p. 25 1 p. DM-06/A

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    197. Neuroevolution strategies for episodic reinforcement learning

      Heidrich-Meisner, V. & Igel, Christian, 2009, In: Journal of Algorithms. 64, 4, p. 152-168 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    198. Ontogenetic and phylogenetic reinforcement learning

      Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, In: KI - Künstliche Intelligenz. 09, 3, p. 30-33 4 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    199. Recombination for learning strategy parameters in the MO-CMA-ES

      Voß, T., Hansen, N. & Igel, Christian, 2009, Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings. Ehrgott, M., Fonseca, C. M., Gandibleux, X., Hao, J-K. & Sevaux, M. (eds.). Springer, p. 155-168 14 p. (Lecture notes in computer science, Vol. 5467).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    200. Second-order SMO for SVM online and active learning

      Igel, Christian, 2009, 23rd European Conference on Operational Research: book of abstracts. p. 162 1 p. TD-31

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    201. Service: reinforcement learning

      Igel, Christian, 2009, In: KI - Künstliche Intelligenz. 24, 3, p. 44 pp

      Research output: Contribution to journal › Journal article › Research › peer-review

    202. Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocol

      Winter, S., Pechlivanis, I., Dekomien, C., Igel, Christian & Schmieder, K., 2009, In: Ultrasound in Medicine & Biology. 35, 11, p. 1773-1782 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    203. Uncertainty handling CMA-ES for reinforcement learning

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 11th Annual conference on Genetic and evolutionary computation: GECCO '09. Association for Computing Machinery, p. 1211-1218 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    204. Variable-metric evolution strategies for direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009. 2 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    205. 2008

    206. Approximation of Gaussian process regression models after training

      Suttorp, T. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, p. 427-432 6 p. ES2008-84

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    207. Efficient covariance matrix update for evolution strategies

      Igel, Christian, 2008, Theory of Evolutionary Algorithms. Arnold, D. V., Auger, A., Rowe, J. E. & Witt, C. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 6 1 p. (Dagstuhl Seminar Proceedings, Vol. 08051).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    208. Evolution strategies for direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (eds.). Springer, p. 428-437 10 p. (Lecture notes in computer science, Vol. 5199).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    209. Genesis of organic computing systems: coupling evolution and learning

      Igel, Christian & Sendhoff, B., 2008, Organic computing. p. 141-166 26 p. (Understanding Complex Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    210. Learning behavioral policies using extrinsic perturbations on the level of synapses

      Heidrich-Meisner, V. & Igel, Christian, 2008, In: Frontiers in Computational Neuroscience.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    211. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods

      Winter, S., Brendel, B., Pechlivanis, I., Schmieder, K. & Igel, Christian, 2008, In: IEEE Transactions on Evolutionary Computation. 12, 3, p. 284-296 13 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    212. Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

      Voß, T., Beume, N., Rudolph, G. & Igel, Christian, 2008, IEEE Congress on Evolutionary Computation, 2008 CEC 2008.. IEEE, p. 3036-3043 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    213. Second-order SMO improves SVM online and active learning

      Glasmachers, T. & Igel, Christian, 2008, In: Neural Computation. 20, 2, p. 374-382 9 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    214. Shark

      Igel, Christian, Glasmachers, T. & Heidrich-Meisner, V., 2008, In: Journal of Machine Learning Research. 9, p. 993-996 4 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    215. Similarities and differences between policy gradient methods and evolution strategies

      Heidrich-Meisner, V. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, p. 149-154 6 p. ES2008-47

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    216. Uncertainty handling in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2008. 8 p.

      Research output: Contribution to conference › Paper › Research › peer-review

    217. Uncertainty handling in model selection for support vector machines

      Glasmachers, T. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (eds.). Springer, p. 185-194 10 p. (Lecture notes in computer science, Vol. 5199).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    218. Variable metric reinforcement learning methods applied to the noisy mountain car problem

      Heidrich-Meisner, V. & Igel, Christian, 2008, Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers. Girgin, S., Loth, M., Munos, R., Preux, P. & Ryabko, D. (eds.). Springer, p. 136-150 15 p. (Lecture notes in computer science, Vol. 5323).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    219. 2007

    220. Covariance matrix adaptation for multi-objective optimization

      Igel, Christian, Hansen, N. & Roth, S., 2007, In: Evolutionary Computation. 15, 1, p. 1-28 28 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    221. Evolutionary optimization of sequence kernels for detection of bacterial gene starts

      Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2007, In: International Journal of Neural Systems. 17, 5, p. 369-381 13 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    222. Evolutionary optimization of wavelet feature sets for real-time pedestrian classification

      Salmen, J., Suttorp, T., Edelbrunner, J. & Igel, Christian, 2007, 7th International Conference on Hybrid Intelligent Systems: HIS 2007. IEEE, p. 222-227 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    223. Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detection

      Igel, Christian, Glasmachers, T., Mersch, B., Pfeifer, N. & Meinicke, P., 2007, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4, 2, p. 216-226 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    224. Modelling cortical activity underlying apparent and real motion perception

      Meyer, J., Jancke, D. & Igel, Christian, 2007, Neuro-Visionen 4 - Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-Westfälischen Akademie der Wissenschaften 2006. Hossman, K-A. (ed.). Verlag Ferdinand Schöningh, p. 257-258 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    225. Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS 2007)

      König, A. (ed.), Köppen, M. (ed.), Abraham, A. (ed.), Igel, Christian (ed.) & Kasabov, N. (ed.), 2007, IEEE.

      Research output: Book/Report › Book › Research › peer-review

    226. Protonenresonanzspektroskopie des Gehirns mit kurzer Echozeit: Unterstützung der Gewebeklassifizierung durch künstliche neuronale Netzwerke

      Liebenrodt, K., Busch, M., Mateiescu, S., Igel, Christian, Winter, S. & Grönemeyer, D., 2007, In: Biomedizinische Technik. 52, Supplement, 2 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    227. Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database

      Niehaus, J., Igel, Christian & Banzhaf, W., 2007, In: Evolutionary Computation. 15, 2, p. 199-221 23 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    228. Reinforcement learning in a nutshell

      Heidrich-Meisner, V., Lauer, M., Igel, Christian & Riedmiller, M., 2007, ESANN 2007: 15th European Symposium on Artificial Neural Networks. D-side Publications, p. 277-288 12 p. ES2007-4

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    229. Resilient approximation of kernel classifiers

      Suttorp, T. & Igel, Christian, 2007, Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. de Sá, J. M., Alexandre, L. A., Duch, W. & Mandic, D. (eds.). Springer, Vol. Part I. p. 139-148 10 p. (Lecture notes in computer science, Vol. 4668).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    230. Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES

      Igel, Christian, Suttorp, T. & Hansen, N., 2007, Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T. & Murata, T. (eds.). Springer, p. 171-185 15 p. (Lecture notes in computer science, Vol. 4403).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    231. 2006

    232. A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies

      Igel, Christian, Suttorp, T. & Hansen, N., 2006, Proceedings of the 8th annual Conference on Genetic and Evolutionary Computation: GECCO '06. Association for Computing Machinery, p. 453-460 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    233. Computational efficient covariance matrix update and the multi-objective variable metric evolution strategy

      Igel, Christian, 2006, Theory of Evolutionary Algorithms. Arnold, D. V., Jansen, T., Rowe, J. E. & Vose, M. D. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 7 1 p. (Dagstuhl Seminar Proceedings, Vol. 06061).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    234. Evolutionary optimization of sequence kernels for detection of bacterial gene starts

      Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2006, Artificial Neural Networks – ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II. Kollias, S., Stafylopatis, A., Duch, W. & Oja, E. (eds.). Springer, p. 827-836 10 p. (Lecture notes in computer science, Vol. 4132).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    235. Maximum-gain working set selection for support vector machines

      Glasmachers, T. & Igel, Christian, 2006, In: Journal of Machine Learning Research. 7, p. 1437-1466 30 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    236. Modelling dynamic activity patterns in early visual cortex based on voltage sensitive dye experiments

      Meyer, J., Igel, Christian & Jancke, D., 2006, Neuro-Visionen 3. Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-westfälischen Akademie der Wissenschaften 2005. Hossmann, K-A. (ed.). Verlag Ferdinand Schöningh, p. 193-195 3 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    237. Multi-objective neural network optimization for visual object detection

      Roth, S., Gepperth, A. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (ed.). Vol. V. p. 629-655 27 p. (Studies in Computational Intelligence, Vol. 16).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    238. Multi-objective optimization of support vector machines

      Suttorp, T. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (ed.). Springer, p. 199-220 22 p. (Studies in Computational Intelligence, Vol. 16).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    239. 2005

    240. Evolutionary optimization of neural systems: the use of strategy adaptation

      Igel, Christian, Wiegand, S. & Friedrichs, F., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (eds.). Birkhäuser Verlag, p. 103-123 21 p. (International Series of Numerical Mathematics, Vol. 151).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    241. Evolutionary tuning of multiple SVM parameters

      Friedrichs, F. & Igel, Christian, 2005, In: Neurocomputing. 64, p. 107-117 11 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    242. Gradient-based adaptation of general gaussian kernels

      Glasmachers, T. & Igel, Christian, 2005, In: Neural Computation. 17, 10, p. 2099-2105 7 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    243. Making driver modeling attractive

      Pellecchia, A., Igel, Christian, Edelbrunner, J. & Schöner, G., 2005, In: I E E E Intelligent Systems. 20, 2, p. 8-12 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    244. Multi-objective model selection for support vector machines

      Igel, Christian, 2005, Evolutionary Multi-Criterion Optimization: Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. Proceedings. Coello, C. A. C., Aguirre, A. H. & Zitzler, E. (eds.). Springer, p. 534-546 13 p. (Lecture notes in computer science, Vol. 3410).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    245. Registration of bone structures in 3D ultrasound and CT data: comparison of different optimization strategies

      Winter, S., Brendel, B. & Igel, Christian, 2005, In: International Congress Series. 1281, p. 242-247 6 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    246. Registrierung von Knochen in 3D-Ultraschall-und CT-Daten: Vergleich verschiedener Optimierungsverfahren

      Winter, S., Brendel, B. & Igel, Christian, 2005, Bildverarbeitung für die Medizin 2005: Algorithmen — Systeme — Anwendungen Proceedings des Workshops vom 13. – 15. März 2005 in Heidelberg. Meinzer, H-P., Handels, H., Horsch, A. & Holxdorff, T. (eds.). p. 345-349 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    247. Rprop using the natural gradient

      Igel, Christian, Toussaint, M. & Weishui, W., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (eds.). Birkhäuser Verlag, p. 259-272 14 p. (International Series of Numerical Mathematics, Vol. 151).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    248. Synergies between evolutionary and neural computation

      Igel, Christian & Sendhoff, B., 2005, ESANN 2005: 13th European Symposium on Artificial Neural Networks. D-side Publications, p. 241-252 12 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    249. 2004

    250. A No-Free-Lunch theorem for non-uniform distributions of target functions

      Igel, Christian & Toussaint, M., 2004, In: Journal of Mathematical Modelling and Algorithms. 3, 4, p. 313-322 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    251. Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience

      Schneider, S., Igel, Christian, Klaes, C., Dinse, H. & Wiemer, J., 2004, In: Genetic Programming and Evolvable Machines. 5, 2, p. 215-227 13 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    252. Evolutionary multi-objective optimization of neural networks for face detection

      Wiegand, S., Igel, Christian & Handmann, U., 2004, In: International Journal of Computational Intelligence and Applications. 4, 3, p. 237-253 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    253. Evolutionary optimization of neural networks for face detection

      Wiegand, S., Igel, Christian & Handmann, U., 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, p. 139-144 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    254. Evolutionary tuning of multiple SVM parameters

      Friedrichs, F. & Igel, Christian, 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, p. 519-524 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    255. Protein fold class prediction using neural networks with tailored early-stopping

      Wiebringhaus, T., Igel, Christian & Gebert, J., 2004, Proceedings of the 2004 IEEE International Joint Conference on Neural Networks. IEEE, p. 1693-1697 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    256. Recent results on No-Free-Lunch for optimization

      Igel, Christian, 2004, Theory of Evolutionary Algorithms. Beyer, H-G., Jansen, T., Reeves, C. & Vose, M. D. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 10 1 p. (Dagstuhl Seminar Proceedings, Vol. 04081).

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    257. The chaining syllogism in fuzzy logic

      Igel, Christian & Temme, K., 2004, In: IEEE Transactions on Fuzzy Systems. 12, 6, p. 849-853 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    258. 2003

    259. Cross-reactive metal ion sensor array in a micro titer plate format

      Mayr, T., Igel, Christian, Liebsch, G., Klimant, I. & Wolfbeis, O. S., 2003, In: Analytical Chemistry. 75, 17, p. 4389-4396 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    260. Empirical evaluation of the improved Rprop learning algorithm

      Igel, Christian & Hüsken, M., 2003, In: Neurocomputing. 50, p. 105-123 19 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    261. Image processing and behaviour planning for intelligent vehicles

      Bücher, T., Curio, C., Edelbrunner, J., Igel, Christian, Kastrup, D., Leefken, I., Lorenz, G., Steinhage, A. & Seelen, W. V., 2003, In: IEEE Transactions on Industrial Electronics. 50, 1, p. 62-75 14 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    262. Neuroevolution for reinforcement learning using evolution strategies

      Igel, Christian, 2003, The 2003 Congress on Evolutionary Computation: CEC '03. IEEE, p. 2588-2595 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    263. Neutrality and self-adaptation

      Igel, Christian & Toussaint, M., 2003, In: Natural Computing. 2, 2, p. 117-132 16 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    264. On classes of functions for which No Free Lunch results hold

      Igel, Christian & Toussaint, M., 2003, In: Information Processing Letters. 86, 6, p. 317-321 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    265. Operator adaptation in evolutionary computation and its application to structure optimization of neural networks

      Igel, Christian & Kreutz, M., 2003, In: Neurocomputing. 55, 1-2, p. 347-361 15 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    266. Protein fold class prediction using neural networks reconsidered

      Wiebringhaus, T., Faigle, U., Schomburg, D., Gebert, J. & Igel, Christian, 2003, Currents in Computational Molecular Biology, The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2003). p. 225-226 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    267. 2002

    268. Balancing learning and evolution

      Hüsken, M. & Igel, Christian, 2002, Proceedings of the Genetic and Evolutionary Computation Conference 2002: GECCO '02. Langdon, W. B., Cantú-Paz, E., Mathias, K. E., Roy, R., Davis, D., Poli, R., Balakrishnan, K., Honovar, V. G., Rudolph, G., Wegener, J., Bull, L., Potter, M. A., Schultz, A. C., Miller, J. F., Burke, E. & Jonoska, N. (eds.). Morgan Kaufmann, p. 391-398 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    269. Derandomized evolution strategies in computational neuroscience

      Dinse, H. R., Hüsken, M., Igel, Christian, Klaes, C., Nunkesser, M., Schneider, S. & Wiemer, J., 2002, Genetic and Evolutionary Computation Conference Workshop Program (GECCO 2002): Biological Applications of Genetic and Evolutionary Computation (BioGEC 2002). p. 35-37 3 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    270. Effects of phenotypic redundancy in structure optimization

      Igel, Christian & Stagge, P., 2002, In: IEEE Transactions on Evolutionary Computation. 6, 1, p. 74-85 12 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    271. Evolving field models for inhibition effects in early vision

      Igel, Christian, Seelen, W. V., Erlhagen, W. & Jancke, D., 2002, In: Neurocomputing. 44-46, p. 467-472 6 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    272. Graph isomorphisms effect structure optimization of neural networks

      Igel, Christian & Stagge, P., 2002, Proceedings of the 2002 International Joint Conference on Neural Networks, 2002: IJCNN '02. IEEE, p. 142-147 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    273. Neutrality: a necessity for self-adaptation

      Toussaint, M. & Igel, Christian, 2002, Proceedings of the 2002 Congress on Evolutionary Computation: CEC '02. IEEE, p. 1354-1359 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    274. Task-dependent evolution of modularity in neural networks

      Hüsken, M., Igel, Christian & Toussaint, M., 2002, In: Connection Science. 14, 3, p. 219-229 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    275. 2001

    276. Application and optimization of neural field dynamics for driver assistance

      Edelbrunner, H., Handmann, U., Igel, Christian, Leefken, I. & von Seelen, W., 2001, Proceedings of the 2001 IEEE Intelligent Transportation Systems. IEEE, p. 309-314 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    277. Design of a field model for early vision: a case study of evolutionary algorithms in neuroscience

      Igel, Christian & von Seelen, W., 2001, Göttingen Neurobiology Report 2001: Proceedings of the 4th Meeting of the German Neuroscience Society 2001; Volume II. 28th Göttingen Neurobiology Conference. Elsner, N. & Kreutzberg, G. W. (eds.). Thieme Medical Publishers, Vol. 2. p. 1034 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    278. Operator adaptation in structure optimization of neural networks

      Igel, Christian & Kreutz, M., 2001, Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation: GECCO'01. Spector, L., Goodman, E. D., Wu, A., Langdon, W. B. & Voigt, H-M. (eds.). Morgan Kaufmann, p. 1094 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    279. Optimization of dynamic neural fields

      Igel, Christian, Erlhagen, W. & Jancke, D., 2001, In: Neurocomputing. 36, 1-4, p. 225-233 9 p.

      Research output: Contribution to journal › Letter › Research › peer-review

    280. Parameter optimization for visual obstacle detection using a derandomized evolution strategy

      Bergener, T., Bruckhoff, C. & Igel, Christian, 2001, Imaging and vision systems . Blanc-Talon, J. & Popescu, D. C. (eds.). Nova Science Publishers, p. 265-279 15 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    281. Structure optimization and isomorphisms

      Stagge, P. & Igel, Christian, 2001, Theoretical aspects of evolutionary computing. Kallel, L., Naudts, B. & Rogers, A. (eds.). Springer, Vol. Part II. p. 409-422 14 p. (Natural Computing Series).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    282. Task-dependent evolution of modularity in neural networks - a quantitative case study

      Hüsken, M., Igel, Christian & Toussaint, M., 2001, GECCO 2001: proceedings of the Genetic and Evolutionary Computation Conference.. Spector, L. & Goodman, E. (eds.). Morgan Kaufmann, p. 187-193 7 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    283. 2000

    284. Improving the Rprop learning algorithm

      Igel, Christian & Hüsken, M., 2000, Proceedings of the Second International Symposium on Neural Computation, NC’2000. ICSC Academic Press, p. 115-121 7 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    285. Neural network structures and isomorphisms: random walk characteristics of the search space

      Stagge, P. & Igel, Christian, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. IEEE, p. 82-90 9 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    286. 1999

    287. Evolutionary parameter optimization for visual obstacle detection

      Bergener, T., Bruckhoff, C. & Igel, Christian, 1999, Advanced Concepts for Intelligent Vision Systems (ACIVS’99). Lasker, G. E., Blanc-Talon, J. & Popescu, D. (eds.). p. 104-109 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    288. Fitness distributions: tools for designing efficient evolutionary computations

      Igel, Christian & Chellapilla, K., 1999, Advances in genetic programming . Spector, L., Langdon, W. B., O'Reilly, U-M. & Angeline, P. J. (eds.). MIT Press, p. 191-216 26 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    289. Investigating the influence of depth and degree of genotypic change on fitness in genetic programming

      Igel, Christian & Chellapilla, K., 1999, Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation: GECCO '99. Banzhaf, W., Daida, J. M., Eiben, A. E., Garzon, M. H. & Honavar, V. (eds.). Morgan Kaufmann, Vol. 2. p. 1061-1068 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    290. Using fitness distributions to improve the evolution of learning structures

      Igel, Christian & Kreutz, M., 1999, Proceedings of the 1999 Congress on Evolutionary Computation: CEC 99. IEEE, Vol. 3. p. 1902-1909 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    291. 1998

    292. Causality of hierarchical variable length representations

      Igel, Christian, 1998, The 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE, p. 324-329 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    293. 1997

    294. Chaining syllogism applied to fuzzy IF-THEN rules and rule bases

      Igel, Christian & Temme, K., 1997, Computational Intelligence Theory and Applications: International Conference, 5th Fuzzy Days Dortmund, Germany, April 28–30, 1997 Proceedings. Reusch, B. (ed.). Springer, p. 179-188 10 p. (Lecture notes in computer science, Vol. 1226).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    ID: 22657401