Christian Igel

Christian Igel

Professor

Medlem af:

    Kommentarer til publikationsliste

    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: http://image.diku.dk/igel

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


    1. Udgivet

      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, s. 512-524 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11101 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    2. Udgivet

      Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

      Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 okt. 2022, arxiv.org, 13 s.

      Publikation: Working paperPreprintForskning

    3. 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. (red.). Nova Science Publishers, s. 265-279 15 s.

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    4. 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. (red.). s. 104-109 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. Udgivet

      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 flere, 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, M., 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, I: Medical Image Analysis. 84, 24 s., 102680.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    6. Udgivet

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

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

      Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

    7. Udgivet

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

      Blum, C. (red.) & Igel, Christian (red.), 2013, Association for Computing Machinery. 1766 s.

      Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

    8. Udgivet

      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, I: IEEE Signal Processing Magazine. 28, 4, s. 24-39 16 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    9. Udgivet

      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), Bind 2020-October. s. 4352-4356

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    10. Udgivet

      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, Bind 2021-June. s. 3885-3889

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    11. Udgivet

      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 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    12. Udgivet

      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 flere, Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, I: Nature. 587, s. 78–82

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    13. Udgivet

      Speeding up many-objective optimization by Monte Carlo approximations

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    14. Udgivet

      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, s. 469-477 (Proceedings of Machine Learning Research, Bind 130).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    15. Udgivet

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    16. 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, I: IEEE Transactions on Industrial Electronics. 50, 1, s. 62-75 14 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    17. Udgivet

      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. (red.). SPIE - International Society for Optical Engineering, 13 s. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Bind 7964). (Progress in Biomedical Optics and Imaging; Nr. 31, Bind 13).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    18. Udgivet

      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, . s. 422-426 5 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    19. Udgivet

      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, Bind 33).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    20. Udgivet

      Nearest neighbor classification using bottom-k sketches

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    21. Udgivet

      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 flere, Gold, G. & Chaudhari, A., 2023, I: Osteoarthritis Imaging. 3, 1, 9 s., 100087.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    22. Udgivet

      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, I: Radiology. Artificial intelligence. 3, 3, 13 s., e200078.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    23. Udgivet

      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 flere, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, I: Osteoarthritis and Cartilage Open. 28, Suppl. 1, s. 5304-5305

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    24. Udgivet

      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. (red.). Springer, s. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    25. 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). s. 35-37 3 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    26. Udgivet

      Fast training of multi-class support vector machines

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2011, University of Copenhagen. 19 s. (Koebenhavns Universitet. Datalogisk Institut. Rapport; Nr. 03, Bind 2011).

      Publikation: Bog/antologi/afhandling/rapportRapport

    27. Udgivet

      Turning binary large-margin bounds into multi-class bounds

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

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    28. Udgivet

      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. (red.). Springer VS, s. 174-190 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12374 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    29. Udgivet

      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. (red.). Springer, s. 122-129 8 s. (Lecture notes in computer science, Bind 7523).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    30. Udgivet

      A unified view on multi-class support vector classification

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    31. 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) I: Scandinavian Journal of Public Health. s. 1-11

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    32. 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, s. 309-314 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    33. Udgivet

      Familiarity-Based Open-Set Recognition Under Adversarial Attacks

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

      Publikation: Working paperPreprintForskning

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

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

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    35. Udgivet

      Bounding the bias of contrastive divergence learning

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    36. Challenges in training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (red.). s. 11-24 14 s. (Machine Learning Reports; Nr. 04/2010).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    37. Udgivet

      Training restricted Boltzmann machines: an introduction

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    38. 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. (red.). Springer, s. 208-217 10 s. (Lecture notes in computer science, Bind 6354).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    39. Udgivet

      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. (red.). ESANN , s. 495-500 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    41. Udgivet

      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. (red.). Springer, s. 14-36 23 s. (Lecture notes in computer science, Bind 7441).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    42. Udgivet

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    43. Udgivet

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

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

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    44. Udgivet

      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. (red.). Association for Computing Machinery, s. 81-91 11 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    45. Evolutionary tuning of multiple SVM parameters

      Friedrichs, F. & Igel, Christian, 2005, I: Neurocomputing. 64, s. 107-117 11 s.

      Publikation: Bidrag til tidsskriftKonferenceartikelfagfællebedømt

    46. Evolutionary tuning of multiple SVM parameters

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    47. Udgivet

      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, s. 1445-1454

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    48. Udgivet

      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, s. 1-8 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    49. Udgivet

      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. (red.). Bind 29. s. 62-71 10 s. (JMLR: Workshop and Conference Proceedings, Bind 29).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    50. Udgivet

      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, I: Knowledge-Based Systems. 120, s. 1-3 3 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikel

    51. Udgivet

      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 s. (JMLR: Workshop and Conference Proceedings, Bind 32).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    52. Udgivet

      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. (red.). i6doc.com, s. 87-92 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    53. Udgivet

      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, s. 202-214 (Lecture Notes in Computer Science, Bind 11333).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    56. 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. (red.). Springer, s. 185-194 10 s. (Lecture notes in computer science, Bind 5199).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    58. Gradient-based adaptation of general gaussian kernels

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    59. Udgivet

      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. (red.). s. 465-470 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    60. 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, s. 401-408 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    61. Direct policy search: intrinsic vs. extrinsic perturbations

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    63. Neuroevolution strategies for episodic reinforcement learning

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    64. 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, s. 149-154 6 s. ES2008-47

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    65. 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. (red.). Springer, s. 136-150 15 s. (Lecture notes in computer science, Bind 5323).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    66. Uncertainty handling in evolutionary direct policy search

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

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    67. 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, s. 1211-1218 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    68. 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, s. 277-288 12 s. ES2007-4

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    69. 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. (red.). Springer, s. 428-437 10 s. (Lecture notes in computer science, Bind 5199).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    70. Variable-metric evolution strategies for direct policy search

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

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    71. Udgivet

      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. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    72. Udgivet

      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, I: Forest Ecology and Management. 529, 13 s., 120653.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    73. Udgivet

      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, s. 715-722 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    74. Task-dependent evolution of modularity in neural networks

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    75. 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. (red.). Morgan Kaufmann, s. 391-398 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    76. 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. (red.). Morgan Kaufmann, s. 187-193 7 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    77. Improving the Rprop learning algorithm

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    78. 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. (red.). Springer, s. 179-188 10 s. (Lecture notes in computer science, Bind 1226).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    79. 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. (red.). Thieme Medical Publishers, Bind 2. s. 1034 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    80. 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. (red.). Birkhäuser Verlag, s. 103-123 21 s. (International Series of Numerical Mathematics, Bind 151).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    81. Evolutionary kernel learning

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

      Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

    82. Efficient covariance matrix update for evolution strategies

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    84. Empirical evaluation of the improved Rprop learning algorithm

      Igel, Christian & Hüsken, M., 2003, I: Neurocomputing. 50, s. 105-123 19 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    85. 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. (red.). Birkhäuser Verlag, s. 259-272 14 s. (International Series of Numerical Mathematics, Bind 151).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    86. Optimization of dynamic neural fields

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

      Publikation: Bidrag til tidsskriftLetterfagfællebedømt

    87. Udgivet

      A note on generalization loss when evolving adaptive pattern recognition systems

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    89. 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. (red.). Morgan Kaufmann, s. 1094 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    90. 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. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 10 1 s. (Dagstuhl Seminar Proceedings, Bind 04081).

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    91. 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. (red.). Springer, s. 171-185 15 s. (Lecture notes in computer science, Bind 4403).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    92. Udgivet

      Evolutionary kernel learning

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

      Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

    93. Neuroevolution for reinforcement learning using evolution strategies

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    94. Evolving field models for inhibition effects in early vision

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    95. Udgivet

      Data, Knowledge, and Computation

      Igel, Christian, 2021, I: KI - Kunstliche Intelligenz. 35, s. 247–249

      Publikation: Bidrag til tidsskriftLeder

    96. 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, s. 453-460 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    98. Neutrality and self-adaptation

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    99. Udgivet

      Editorial: project reports

      Igel, Christian, mar. 2017, I: KI - Künstliche Intelligenz. 31, 1, s. 1-1 1 s.

      Publikation: Bidrag til tidsskriftLeder

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

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