Christian Igel

Christian Igel

Professor

Medlem af:

    Kommentarer til publikationsliste

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: http://image.diku.dk/igel

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


    1. Udgivet

      Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    2. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    5. Rprop using the natural gradient

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

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

    6. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    7. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

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

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    9. Udgivet

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    10. Reinforcement learning in a nutshell

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    11. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    12. 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 tidsskriftKonferenceartikelfagfællebedømt

    13. 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 tidsskriftTidsskriftartikelfagfællebedømt

    14. 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 tidsskriftTidsskriftartikelfagfællebedømt

    15. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    17. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    18. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    19. 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 tidsskriftKonferenceartikelfagfællebedømt

    20. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    21. 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/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    22. 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/rapportBogfagfællebedømt

    23. 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, C. (red.), Kovacs, T. (red.), Landa-Silva, D. (red.), Lobo, F. G. (red.), Pappa, G. L. (red.), Lozano, J. A. (red.) & 18 flere, 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/rapportBogfagfællebedømt

    24. Udgivet

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

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

      Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

    25. 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/rapportBogfagfællebedømt

    26. Udgivet

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    27. Udgivet

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    28. 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 tidsskriftTidsskriftartikelfagfællebedømt

    29. 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/rapportBidrag til rapportForskningfagfællebedømt

    30. Udgivet

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

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

    32. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    33. Udgivet

      PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    34. Optimization of dynamic neural fields

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

      Publikation: Bidrag til tidsskriftLetterfagfællebedømt

    35. Operator adaptation in structure optimization of neural networks

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    36. 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 tidsskriftTidsskriftartikelfagfællebedømt

    37. Ontogenetic and phylogenetic reinforcement learning

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    38. Udgivet

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

      Perslev, M., Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    39. Udgivet

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    40. Udgivet

      On scaling contrastive representations for low-resource speech recognition

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    42. Udgivet

      On PAC-Bayesian bounds for random forests

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    43. Udgivet

      Non-linearly increasing resampling in racing algorithms

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    44. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

    45. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    46. Neutrality and self-adaptation

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    47. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    48. Neuroevolution strategies for episodic reinforcement learning

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    49. 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/rapportKonferenceabstrakt i proceedingsForskning

    50. Neuroevolution for reinforcement learning using evolution strategies

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

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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