Christian Igel
Professor
Kommentarer til publikationsliste
This list of pubications is not fully complete.
For a complete list of older publications as well as papers and software available online please vist my old homepage: http://image.diku.dk/igel
I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ
- Udgivet
A Brief Overview of Unsupervised Neural Speech Representation Learning
Borgholt, L., Havtorn, J. D., Edin, J., Maaløe, L. & Igel, Christian, 2022, Proceedings of 2nd Workshop on Self-supervised Learning for Audio and Speech Processing. Association for the Advancement of Artificial Intelligence, 13 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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
- 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
A note on extending generalization bounds for binary large-margin classifiers to multiple classes
Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Flach, P. A., Bie, T. D. & Cristianini, N. (red.). Springer, s. 122-129 8 s. (Lecture notes in computer science, Bind 7523).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- Udgivet
A 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 › 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
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
An introduction to restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2012, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. Alvarez, L., Mejail, M., Gomez, L. & Jacobo, J. (red.). Springer, s. 14-36 23 s. (Lecture notes in computer science, Bind 7441).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Application and optimization of neural field dynamics for driver assistance
Edelbrunner, H., Handmann, U., Igel, Christian, Leefken, I. & von Seelen, W., 2001, Proceedings of the 2001 IEEE Intelligent Transportation Systems. IEEE, s. 309-314 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. ES2008-84Publikation: 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
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
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
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, A. E., 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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
Balancing learning and evolution
Hüsken, M. & Igel, Christian, 2002, Proceedings of the Genetic and Evolutionary Computation Conference 2002: GECCO '02. Langdon, W. B., Cantú-Paz, E., Mathias, K. E., Roy, R., Davis, D., Poli, R., Balakrishnan, K., Honovar, V. G., Rudolph, G., Wegener, J., Bull, L., Potter, M. A., Schultz, A. C., Miller, J. F., Burke, E. & Jonoska, N. (red.). Morgan Kaufmann, s. 391-398 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Bigger buffer k-d trees on multi-many-core systems
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, s. 202-214 (Lecture Notes in Computer Science, Bind 11333).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- Udgivet
Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Gieseke, Fabian Cristian, Heinermann, J., Oancea, Cosmin Eugen & Igel, Christian, 2014, Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. 9 s. (JMLR: Workshop and Conference Proceedings, Bind 32).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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
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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
Chaining syllogism applied to fuzzy IF-THEN rules and rule bases
Igel, Christian & Temme, K., 1997, Computational Intelligence Theory and Applications: International Conference, 5th Fuzzy Days Dortmund, Germany, April 28–30, 1997 Proceedings. Reusch, B. (red.). Springer, s. 179-188 10 s. (Lecture notes in computer science, Bind 1226).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Challenges in training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (red.). s. 11-24 14 s. (Machine Learning Reports; Nr. 04/2010).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Characterization of errors in deep learning-based brain MRI segmentation
Pai, A. S. U., 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 › Forskning › fagfællebedømt
- Udgivet
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Wu, Yi-Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, s. 1-12Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
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 › Forskning
- Udgivet
Date Recognition in Historical Parish Records
Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Lotz, Jonas Færch, Rust, Phillip, Rommedahl, J., Due, J. K., Igel, Christian, Elliott, Desmond, Pedersen, C. B., Salazar, I. & Søgaard, Anders, 2022, Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings. Porwal, U., Fornés, A. & Shafait, F. (red.). Springer, s. 49-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13639 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- Udgivet
Deep learning based 3D point cloud regression for estimating forest biomass
Oehmcke, Stefan, Li, Lei, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 nov. 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (red.). Association for Computing Machinery, Inc., s. 1-4 38Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry
Sørensen, L., Pai, A. S. U., 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 › Forskning › fagfællebedømt
Derandomized evolution strategies in computational neuroscience
Dinse, H. R., Hüsken, M., Igel, Christian, Klaes, C., Nunkesser, M., Schneider, S. & Wiemer, J., 2002, Genetic and Evolutionary Computation Conference Workshop Program (GECCO 2002): Biological Applications of Genetic and Evolutionary Computation (BioGEC 2002). s. 35-37 3 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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
- Udgivet
Detection of traffic signs in real-world images: the German traffic sign detection benchmark
Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M. & Igel, Christian, 2013, Proceedings of International Joint Conference on Neural Networks. IEEE Computer Society Press, s. 715-722 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Direct policy search: intrinsic vs. extrinsic perturbations
Heidrich-Meisner, V. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation . Hammer, B. & Villmann, T. (red.). s. 33-39 7 s. (Machine Learning Reports, Bind 04/2010).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Do end-to-end speech recognition models care about context?
Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Bind 2020-October. s. 4352-4356Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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
Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010, Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Diamantaras, K., Duch, W. & Iliadis, L. S. (red.). Springer, s. 208-217 10 s. (Lecture notes in computer science, Bind 6354).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures
Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolution strategies for direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (red.). Springer, s. 428-437 10 s. (Lecture notes in computer science, Bind 5199).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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
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
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 › Forskning › fagfællebedømt
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 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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
Evolutionary parameter optimization for visual obstacle detection
Bergener, T., Bruckhoff, C. & Igel, Christian, 1999, Advanced Concepts for Intelligent Vision Systems (ACIVS’99). Lasker, G. E., Blanc-Talon, J. & Popescu, D. (red.). s. 104-109 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolutionary tuning of multiple SVM parameters
Friedrichs, F. & Igel, Christian, 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, s. 519-524 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. iiiPublikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
- 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 › Forskning › fagfællebedømt
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 › 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
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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- Udgivet
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification
Diao, P., Pai, A., Igel, Christian & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, s. 401-408 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
Improving the Rprop learning algorithm
Igel, Christian & Hüsken, M., 2000, Proceedings of the Second International Symposium on Neural Computation, NC’2000. ICSC Academic Press, s. 115-121 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
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/APublikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
- Udgivet
Knowledge Distillation for Semi-supervised Domain Adaptation
Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 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 › Forskning › fagfællebedømt
- Udgivet
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, s. 1951-1957Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Label-Similarity Curriculum Learning
Dogan, Ü., Deshmukh, A. A., Machura, M. B. & Igel, Christian, 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (red.). Springer VS, s. 174-190 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12374 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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
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
Massively-parallel best subset selection for ordinary least-squares regression
Gieseke, F., Polsterer, K. L., Mahabal, A., Igel, Christian & Heskes, T., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, s. 1-8 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 › Forskning
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 › Forskning
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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
- Udgivet
Nearest neighbor classification using bottom-k sketches
Dahlgaard, S., Igel, Christian & Thorup, Mikkel, 2013, 2013 IEEE International Conference on Big Data: proceedings. IEEE, s. 28-34 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Nearest neighbour regression outperforms model-based prediction of specific star formation rate
Stensbo-Smidt, K., Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2013, 2013 IEEE International Conference on Big Data. IEEE, s. 141-144 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 › 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
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 › Forskning
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 › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
- Udgivet
Non-linearly increasing resampling in racing algorithms
Heidrich-Meisner, V. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (red.). s. 465-470 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
On scaling contrastive representations for low-resource speech recognition
Borgholt, L., Tax, T. M. S., Havtorn, J. D., Maaløe, L. & Igel, Christian, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Bind 2021-June. s. 3885-3889Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.
Brügge, K., Fischer, A. & Igel, Christian, 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistic. PMLR, s. 469-477 (Proceedings of Machine Learning Research, Bind 130).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Perslev, Mathias, 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 › Forskning › fagfællebedømt
Parameter optimization for visual obstacle detection using a derandomized evolution strategy
Bergener, T., Bruckhoff, C. & Igel, Christian, 2001, Imaging and vision systems . Blanc-Talon, J. & Popescu, D. C. (red.). Nova Science Publishers, s. 265-279 15 s.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- Udgivet
Polynomial runtime bounds for fixed-rank unsupervised least-squares classification
Gieseke, Fabian Cristian, Pahikkala, T. & Igel, Christian, 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (red.). Bind 29. s. 62-71 10 s. (JMLR: Workshop and Conference Proceedings, Bind 29).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
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. 52-60Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 › Forskning › fagfællebedømt
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 › 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
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Shape index descriptors applied to texture-based galaxy analysis
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
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Fast training of multi-class support vector machines
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