Christian Igel
Professor
Kommentarer til publikationsliste
This list of pubications is not fully complete.
For a complete list of older publications as well as papers and software available online please vist my old homepage: http://image.diku.dk/igel
I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ
Design of a field model for early vision: a case study of evolutionary algorithms in neuroscience
Igel, Christian & von Seelen, W., 2001, Göttingen Neurobiology Report 2001: Proceedings of the 4th Meeting of the German Neuroscience Society 2001; Volume II. 28th Göttingen Neurobiology Conference. Elsner, N. & Kreutzberg, G. W. (red.). Thieme Medical Publishers, Bind 2. s. 1034 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Evolutionary optimization of neural systems: the use of strategy adaptation
Igel, Christian, Wiegand, S. & Friedrichs, F., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (red.). Birkhäuser Verlag, s. 103-123 21 s. (International Series of Numerical Mathematics, Bind 151).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Evolutionary kernel learning
Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (red.). Springer, 4 s.Publikation: Bidrag til bog/antologi/rapport › Encyclopædiartikel › Forskning › fagfællebedømt
Efficient covariance matrix update for evolution strategies
Igel, Christian, 2008, Theory of Evolutionary Algorithms. Arnold, D. V., Auger, A., Rowe, J. E. & Witt, C. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 6 1 s. (Dagstuhl Seminar Proceedings, Bind 08051).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
On classes of functions for which No Free Lunch results hold
Igel, Christian & Toussaint, M., 2003, I: Information Processing Letters. 86, 6, s. 317-321 5 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Empirical evaluation of the improved Rprop learning algorithm
Igel, Christian & Hüsken, M., 2003, I: Neurocomputing. 50, s. 105-123 19 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Rprop using the natural gradient
Igel, Christian, Toussaint, M. & Weishui, W., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (red.). Birkhäuser Verlag, s. 259-272 14 s. (International Series of Numerical Mathematics, Bind 151).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Optimization of dynamic neural fields
Igel, Christian, Erlhagen, W. & Jancke, D., 2001, I: Neurocomputing. 36, 1-4, s. 225-233 9 s.Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
- Udgivet
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
Second-order SMO for SVM online and active learning
Igel, Christian, 2009, 23rd European Conference on Operational Research: book of abstracts. s. 162 1 s. TD-31Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Operator adaptation in structure optimization of neural networks
Igel, Christian & Kreutz, M., 2001, Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation: GECCO'01. Spector, L., Goodman, E. D., Wu, A., Langdon, W. B. & Voigt, H-M. (red.). Morgan Kaufmann, s. 1094 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
Recent results on No-Free-Lunch for optimization
Igel, Christian, 2004, Theory of Evolutionary Algorithms. Beyer, H-G., Jansen, T., Reeves, C. & Vose, M. D. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 10 1 s. (Dagstuhl Seminar Proceedings, Bind 04081).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES
Igel, Christian, Suttorp, T. & Hansen, N., 2007, Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T. & Murata, T. (red.). Springer, s. 171-185 15 s. (Lecture notes in computer science, Bind 4403).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Evolutionary kernel learning
Igel, Christian, 2016, Encyclopedia of machine learning and data mining. Sammut, C. & Webb, G. I. (red.). Springer, 5 s.Publikation: Bidrag til bog/antologi/rapport › Encyclopædiartikel › Forskning › fagfællebedømt
Neuroevolution for reinforcement learning using evolution strategies
Igel, Christian, 2003, The 2003 Congress on Evolutionary Computation: CEC '03. IEEE, s. 2588-2595 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolving field models for inhibition effects in early vision
Igel, Christian, Seelen, W. V., Erlhagen, W. & Jancke, D., 2002, I: Neurocomputing. 44-46, s. 467-472 6 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Data, Knowledge, and Computation
Igel, Christian, 2021, I: KI - Kunstliche Intelligenz. 35, s. 247–249Publikation: Bidrag til tidsskrift › Leder › Forskning
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
Igel, Christian, Suttorp, T. & Hansen, N., 2006, Proceedings of the 8th annual Conference on Genetic and Evolutionary Computation: GECCO '06. Association for Computing Machinery, s. 453-460 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Genesis of organic computing systems: coupling evolution and learning
Igel, Christian & Sendhoff, B., 2008, Organic computing. s. 141-166 26 s. (Understanding Complex Systems).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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
- Udgivet
Editorial: project reports
Igel, Christian, mar. 2017, I: KI - Künstliche Intelligenz. 31, 1, s. 1-1 1 s.Publikation: Bidrag til tidsskrift › Leder › Forskning
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
- Udgivet
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, , 2021, I: Scientific Reports. 11, 1, 12 s., 3246.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
MULTIFIN: A Dataset for Multilingual Financial NLP
Jørgensen, R. K., Brandt, O., Hartmann, M., Dai, X., Igel, Christian & Elliott, Desmond, 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), s. 864-879Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Are Multilingual Sentiment Models Equally Right for the Right Reasons?
Jørgensen, R. K., Caccavale, F., Igel, Christian & Søgaard, Anders, 2022, Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), s. 131–141Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields
Jørgensen, R. K. & Igel, Christian, 2021, I: Intelligent Systems in Accounting, Finance and Management. 28, 3, s. 159-172Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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, P., 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
- Udgivet
Assessing breast cancer masking risk in full field digital mammography with automated texture analysis
Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
Assessing breast cancer masking risk with automated texture analysis in full field digital mammography
Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- 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, P., 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
- 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 › Forskning › fagfællebedømt
- Udgivet
Accurate segmentation of dental panoramic radiographs with u-NETS
Koch, T. L., Perslev, Mathias, Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, s. 15-19Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
- Udgivet
Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)
Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (red.). International Joint Conferences on Artificial Intelligence, s. 5045-5049 5 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2021-January).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- Udgivet
Multi-objective optimization with unbounded solution sets
Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- Udgivet
Population-Contrastive-Divergence: Does consistency help with RBM training?
Krause, Oswin, Fischer, A. & Igel, Christian, 2018, I: Pattern Recognition Letters. 102, s. 1-7Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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 › Forskning › fagfællebedømt
- Udgivet
Support vector machines for active learning
Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . s. 38 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
- Udgivet
Active learning with support vector machines
Kremer, J., Steenstrup Pedersen, Kim & 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
- Udgivet
Nearest neighbor density ratio estimation for large-scale applications in astronomy
Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, I: Astronomy and Computing. 12, s. 67-72 6 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Big universe, big data: machine learning and image analysis for astronomy
Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, I: IEEE Intelligent Systems. 32, 2, s. 16-22 7 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, jan. 2022, arXiv.org, 29 s.Publikation: Working paper › Preprint › Forskning
- Udgivet
Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry
Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 s.Publikation: Working paper › Preprint › Forskning
ID: 22657401
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Shape index descriptors applied to texture-based galaxy analysis
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Fast training of multi-class support vector machines
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
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