Christian Igel

Christian Igel

Professor

ORCID: 0000-0003-2868-0856

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


Udgivelsesår:
Alle
1 - 220 ud af 220Pr. side: 500
Sortering: 1. forfatter
  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/rapport › Konferencebidrag i proceedings

  2. 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

  3. 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

  4. 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, Christian (red.), Jansen, T. (red.), Kovacs, T. (red.), Kowaliw, T. (red.), 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/rapport › Bog › Forskning › fagfællebedømt

  5. 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

  6. 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

  7. Udgivet

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

    Borgholt, Lasse, 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/rapport › Konferencebidrag i proceedings

  8. Udgivet

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

    Brandt, Martin Stefan, Tucker, C. J., Kariryaa, A., Rasmussen, Kjeld, Abel, Christin, Small, J., Chave, J., Rasmussen, Laura Vang, Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, Ole, Igel, Christian, Gieseke, Fabian Cristian, Schöning, J., Li, Sizhuo, Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, I : Nature. 587, s. 78–82

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. 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

  10. 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

  11. 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

  12. Udgivet

    Towards exaggerated emphysema stereotypes

    Chen, C., xfj310, xfj310, Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, Aasa, 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

  13. Udgivet

    Towards exaggerated image stereotypes

    Chen, C., Lauze, Francois Bernard, Igel, Christian, Feragen, Aasa, 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

  14. 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

  15. Udgivet

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

    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, Mathias, Pai, Akshay Sadananda Uppinakudru, Igel, Christian, Dam, Erik Bjørnager, Gaj, S., Yang, M., Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 29 apr. 2020, I : arXiv. 18 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. Udgivet

    Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

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

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  33. 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

  34. 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

  35. 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

  36. 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/rapport › Konferencebidrag i proceedings

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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/rapport › Konferencebidrag i proceedings

  54. 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

  55. Uncertainty handling in evolutionary direct policy search

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

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  56. 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

  57. 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/rapport › Konferencebidrag i proceedings

  58. 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

  59. Variable-metric evolution strategies for direct policy search

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

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. Udgivet

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

    Igel, Christian, 2012, I : Kuenstliche Intelligenz. 26, 3, s. 209-212 4 s.

    Publikation: Bidrag til tidsskrift › Leder › Forskning

  66. Shark

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  67. 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. (red.). Springer, s. 534-546 13 s. (Lecture notes in computer science, Bind 3410).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  68. Causality of hierarchical variable length representations

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  69. The chaining syllogism in fuzzy logic

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  70. 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, s. 142-147 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  71. Synergies between evolutionary and neural computation

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  72. 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, I : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4, 2, s. 216-226 11 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  73. 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. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 7 1 s. (Dagstuhl Seminar Proceedings, Bind 06061).

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  74. Neuroevolution strategies

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  75. 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. (red.). Morgan Kaufmann, Bind 2. s. 1061-1068 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  76. Covariance matrix adaptation for multi-objective optimization

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  77. Second-order SMO for SVM online learning

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  78. Effects of phenotypic redundancy in structure optimization

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  79. 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, Bind 3. s. 1902-1909 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  80. 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. (red.). MIT Press, s. 191-216 26 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  81. Udgivet

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

    Igel, Christian (red.) & Arnold, D. (red.), 2014, Association for Computing Machinery. 1450 s.

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  83. Udgivet

    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, s. iii

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  84. Service: reinforcement learning

    Igel, Christian, 2009, I : Kuenstliche Intelligenz. 24, 3, s. 44 pp

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  85. Udgivet

    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. (red.). Springer, s. 1-23 23 s. (Natural Computing Series).

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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/rapport › Konferenceabstrakt i proceedings

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 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

  105. 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

  106. Udgivet

    Editorial: project reports

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

    Publikation: Bidrag til tidsskrift › Leder › Forskning

  107. 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

  108. Udgivet

    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, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  109. Udgivet

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

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  110. Udgivet

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

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  111. Udgivet

    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, Pengfei, Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, I : IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  112. Udgivet

    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. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  113. Udgivet

    Accurate segmentation of dental panoramic radiographs with u-NETS

    Koch, Thorbjørn Louring, Perslev, Mathias, Igel, Christian & Brandt, Sami Sebastian, 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, s. 15-19

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  114. Udgivet

    Evolutionary kernel machines

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

    Publikation: Bidrag til tidsskrift › Leder › Forskning

  115. Udgivet

    Algorithms for estimating the partition function of restricted Boltzmann machines

    Krause, Oswin, Fischer, A. & Igel, Christian, jan. 2020, I : Artificial Intelligence. 278, 19 s., 103195.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  116. Udgivet

    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, s. 129-136 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  117. Udgivet

    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. (red.). Curran Associates, Inc., s. 370-378 9 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  118. Udgivet

    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. (red.). s. 419-426 8 s. (JMLR: Workshop and Conference Proceedings, Bind 28).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  119. Udgivet

    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. (red.). s. 93-94 2 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til rapport

  120. Udgivet

    Multi-objective optimization with unbounded solution sets

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

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  121. Udgivet

    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, s. 1177-1184 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  122. Udgivet

    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, s. 139-148 10 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  123. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  124. Udgivet

    Robust Active Label Correction

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  125. Udgivet

    Support vector machines for active learning

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  126. Udgivet

    Active learning with support vector machines

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

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  127. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  128. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

  130. 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, I : Biomedizinische Technik. 52, Supplement, 2 s.

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  131. Udgivet

    On PAC-Bayesian bounds for random forests

    Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2019, I : Machine Learning. 108, 8-9, s. 1503-1522

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  132. Udgivet

    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. (red.). s. 259-267 9 s. (JMLR: Workshop and Conference Proceedings, Bind 38).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  135. Udgivet

    Linear feature selection in texture analysis - A PLS based method

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  138. 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. (red.). Springer, s. 827-836 10 s. (Lecture notes in computer science, Bind 4132).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  139. 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. (red.). Verlag Ferdinand Schöningh, s. 257-258 2 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  140. 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. (red.). Verlag Ferdinand Schöningh, s. 193-195 3 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  142. Udgivet

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

    Nielsen, Mads, Igel, Christian & xfj310, xfj310, 2015, I : Neurodegenerative Diseases. 15, Suppl. 1, s. 262 1 s., ADPD5-0947.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

  143. Udgivet

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

    Nielsen, Mads, xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Igel, Christian & Lillholm, Martin, 2015. 1 s.

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  144. Udgivet

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., xfj310, xfj310, Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, Akshay Sadananda Uppinakudru, 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  145. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., xfj310, xfj310, Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 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. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  146. Udgivet

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, Akshay Sadananda Uppinakudru, 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. (red.). Academic Press, s. 223–242 20 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  147. Udgivet

    Shape index descriptors applied to texture-based galaxy analysis

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  148. Making driver modeling attractive

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  149. Udgivet

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

    Perslev, Mathias, Dam, Erik Bjørnager, Pai, Akshay Sadananda Uppinakudru & 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. (red.). Springer VS, s. 30-38 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11765 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  150. Udgivet

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

    Perslev, Mathias, Pai, Akshay Sadananda Uppinakudru, Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  151. Udgivet

    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 okt. 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Bind 32. s. 4415-4426

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  152. Udgivet

    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, s. 405-410 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  153. Udgivet

    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. (red.). Astronomical Society of the Pacific, Bind 24. s. 81-86 6 s. (ASP Conference Series, Bind 495).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  154. Udgivet

    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. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  155. Udgivet

    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. (red.). Springer, s. 246-253 8 s. (Lecture notes in computer science, Bind 8150).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  156. Udgivet

    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. (red.). SPIE - International Society for Optical Engineering, Bind 8314. 9 s. 83144V. (SPIE Proceedings, Bind 8314).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  157. Udgivet

    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, s. 5469-5472 4 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  158. Udgivet

    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, I : PLoS Computational Biology. 12, 9, s. e1005092 27 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  159. Udgivet

    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, Anders Elias, Igel, Christian & Darkner, Sune, 2014, Medical Imaging 2014: Image Processing. Ourselin, S. & Styner, M. A. (red.). SPIE - International Society for Optical Engineering, 8 s. 903441. (Progress in Biomedical Optics and Imaging; Nr. 35, Bind 15).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  160. Structure optimization of reservoir networks

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  162. 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, s. 222-227 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  164. Udgivet

    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. (red.). Springer, s. 448-461 14 s. (Lecture notes in computer science, Bind 6576).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  165. Udgivet

    Echtzeit-Videoanalyse im Fußball

    Schlipsing, M., Salmen, J. & Igel, Christian, 2013, I : Kuenstliche Intelligenz. 27, 3, s. 235-240 6 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  166. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  167. Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  168. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  169. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  170. Udgivet

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

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

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

  171. Structure optimization and isomorphisms

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

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  172. 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, s. 82-90 9 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  173. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  174. Udgivet

    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, s. 1453-1460 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  175. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Leder › Forskning

  176. Udgivet

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

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  177. Udgivet

    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. & Pedersen, Kim Steenstrup, 2017, I : Monthly Notices of the Royal Astronomical Society. 464, 3, s. 2577-2596 20 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  178. Efficient covariance matrix update for variable metric evolution strategies

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  179. 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. (red.). Springer, Bind Part I. s. 139-148 10 s. (Lecture notes in computer science, Bind 4668).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  180. 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, s. 427-432 6 s. ES2008-84

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  181. Multi-objective optimization of support vector machines

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

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  182. Udgivet

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

    xfj310, xfj310, Igel, Christian, Hansen, N. L., Lauritzen, Martin, Osler, Merete, Rostrup, E. & Nielsen, Mads, 2014, I : Alzheimer's & Dementia. 10, 4, Supplement, s. P133 1 s.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  183. Udgivet

    Hippocampal texture provides volume independent information for Alzheimer's diagnosis

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, Mads, 2012, I : Alzheimer's & Dementia. 8, 4, Supplement, s. 15 1 s., IC-P-013.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  184. Udgivet

    Hippocampal texture predicts conversion from MCI to Alzheimer's disease

    xfj310, xfj310, Igel, Christian & Nielsen, Mads, 2013, I : Alzheimer's & Dementia. 9, 4, Supplement, s. P52 1 s.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  185. Udgivet

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

    xfj310, xfj310, Igel, Christian, Pai, Akshay Sadananda Uppinakudru, Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, I : NeuroImage: Clinical. 13, s. 470-482 13 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  186. Udgivet

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

    xfj310, xfj310, Lillholm, Martin, Pai, Akshay Sadananda Uppinakudru, Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, Supplement 1, 1 s., B-0077.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

  187. Udgivet

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

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Mysling, P., Darkner, Sune, Chen, G., Oh, J., Suhy, J., Igel, Christian & Nielsen, Mads, 2013. 1 s.

    Publikation: Konferencebidrag › Poster › Forskning › fagfællebedømt

  188. Udgivet

    MCI trial enrichment using MRI hippocampus texture

    xfj310, xfj310, Igel, Christian & Nielsen, Mads, 2016, I : Alzheimer's & Dementia. 12, 7, Supplement, s. P108–P109 2 s., IC-P-146.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  189. Udgivet

    Early detection of Alzheimer's disease using MRI hippocampal texture

    xfj310, xfj310, Igel, Christian, Hansen, N. L., Osler, Merete, Lauritzen, Martin, Rostrup, E. & Nielsen, Mads, 2016, I : Human Brain Mapping. 37, 3, s. 1148-1161 14 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  190. Udgivet

    Hippocampal texture predicts conversion from MCI to Alzheimer's disease

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Igel, Christian & Nielsen, Mads, 2013, I : Alzheimer's & Dementia. 9, 4, Supplement, s. P581 1 s.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  191. Udgivet

    Hippocampal MRI texture is related to hippocampal glucose metabolism

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Igel, Christian & Nielsen, Mads, 2015, I : Alzheimer's & Dementia. 11, 7, Supplement, s. P55-P56 2 s., IC-P-077.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  192. Udgivet

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

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, 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. (red.). Erasmus Universiteit Rotterdam, s. 111-118 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  193. Udgivet

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

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, M., 2012, I : Alzheimer's & Dementia. 8, 4, Supplement, s. P162–P163 2 s.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

  194. Udgivet

    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. (red.). Proceedings of Machine Learning Research, s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  195. Ontogenetic and phylogenetic reinforcement learning

    Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, I : Kuenstliche Intelligenz. 09, 3, s. 30-33 4 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  196. Neutrality: a necessity for self-adaptation

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  197. 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, s. 1011-1014 4 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  198. 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). s. 361 1 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  199. Udgivet

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

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

    Publikation: Konferencebidrag › Poster › Forskning

  200. Udgivet

    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. (red.). 2 udg. CRC Press, s. 37-56 20 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

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

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

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  202. Udgivet

    Joint optimization of a signal processing chain for hydroacoustic signal classification

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

    Publikation: Konferencebidrag › Poster › Forskning

  203. Udgivet

    Kernel-based machine learning techniques for infrasound signal classification

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

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  204. Udgivet

    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, I : IEEE Transactions on Geoscience and Remote Sensing. 54, 6, s. 3649-3659 11 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  205. Udgivet

    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. (red.). Springer, s. 327-334 8 s. (Lecture notes in computer science, Bind 6854).

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi

  206. 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. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  207. 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, s. 1975-1978 4 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  208. 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, s. 487-494 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  209. 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. (red.). Springer, s. 155-168 14 s. (Lecture notes in computer science, Bind 5467).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  210. 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, s. 3036-3043 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  211. 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). s. 225-226 2 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings

  212. 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, s. 1693-1697 5 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  214. 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, s. 139-144 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  215. 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, I : IEEE Transactions on Evolutionary Computation. 12, 3, s. 284-296 13 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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

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

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  217. 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. (red.). s. 345-349 5 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

  218. 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, I : Ultrasound in Medicine & Biology. 35, 11, s. 1773-1782 10 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  219. Editorial: special issue on organic computing

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

    Publikation: Bidrag til tidsskrift › Leder › Forskning

  220. Udgivet

    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. (red.). i6doc.com, s. 319-324 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings

ID: 22657401