Christian Igel
Professor
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
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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, , 2023, I: Medical Image Analysis. 84, 24 s., 102680.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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, , 2013, Association for Computing Machinery.Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
- 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/rapport › Bog › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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. 4352-4356Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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. 3885-3889Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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, , 2020, I: Nature. 587, s. 78–82Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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, , 2023, I: Osteoarthritis Imaging. 3, 1, 9 s., 100087.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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, , 2020, I: Osteoarthritis and Cartilage Open. 28, Suppl. 1, s. 5304-5305Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Rapport › Forskning
- Udgivet
Turning binary large-margin bounds into multi-class bounds
Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012. 2 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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. 1-11Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 paper › Preprint › Forskning
Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Contrastive divergence learning may diverge when training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2009, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Florescu, C. & Igel, Christian, 2018. 5 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolutionary tuning of multiple SVM parameters
Friedrichs, F. & Igel, Christian, 2005, I: Neurocomputing. 64, s. 107-117 11 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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. 1445-1454Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Variable-metric evolution strategies for direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2009. 2 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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. ES2008-47Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Uncertainty handling in evolutionary direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2008. 8 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
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. ES2007-4Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferenceabstrakt i proceedings › Forskning
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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/rapport › Konferenceabstrakt i proceedings › Forskning
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/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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-31Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Empirical evaluation of the improved Rprop learning algorithm
Igel, Christian & Hüsken, M., 2003, I: Neurocomputing. 50, s. 105-123 19 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Evolutionary kernel learning
Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (red.). Springer, 4 s.Publikation: Bidrag til bog/antologi/rapport › Encyclopædiartikel › Forskning › fagfællebedømt
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 tidsskrift › Letter › Forskning › fagfællebedømt
- Udgivet
Data, Knowledge, and Computation
Igel, Christian, 2021, I: KI - Kunstliche Intelligenz. 35, s. 247–249Publikation: Bidrag til tidsskrift › Leder › Forskning
- 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/rapport › Encyclopædiartikel › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Konferenceabstrakt i proceedings › Forskning
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Editorial: project reports
Igel, Christian, mar. 2017, I: KI - Künstliche Intelligenz. 31, 1, s. 1-1 1 s.Publikation: Bidrag til tidsskrift › Leder › Forskning
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Neutrality and self-adaptation
Igel, Christian & Toussaint, M., 2003, I: Natural Computing. 2, 2, s. 117-132 16 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Shape index descriptors applied to texture-based galaxy analysis
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
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Fast training of multi-class support vector machines
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