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
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
- 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
- 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 › 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
Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda
Mugabowindekwe, M., Brandt, M., Chave, J., Reiner, F., Skole, D. L., Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, J-P. B., Gieseke, F., Tucker, C. J., Saatchi, S. & 1 flere, , 2023, I: Nature climate change. 13, s. 91-97Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
Multi-objective optimization with unbounded solution sets
Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 s.Publikation: Konferencebidrag › Paper › 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
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 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
- Udgivet
More than one quarter of Africa's tree cover is found outside areas previously classified as forest
Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 flere, , 2023, I: Nature Communications. 14, 10 s., 2258.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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
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
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 › fagfællebedømt
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters
Glasmachers, T. & Igel, Christian, 2010, I: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 8, s. 1522-1528 7 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Massively-parallel best subset selection for ordinary least-squares regression
Gieseke, F., Polsterer, K. L., Mahabal, A., Igel, Christian & Heskes, T., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, s. 1-8 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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 › fagfællebedømt
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 › 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 › 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
MCI trial enrichment using MRI hippocampus texture
Sørensen, L., 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 › fagfællebedømt
- 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 › fagfællebedømt
- Udgivet
Learning ∈ artificial intelligence ∩ cognitive technologies ∩ neural computation ∩ …
Igel, Christian, 2012, I: KI - Künstliche Intelligenz. 26, 3, s. 209-212 4 s.Publikation: Bidrag til tidsskrift › Leder
- 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
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 › 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
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
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
Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI
Perslev, M., Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- 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 › 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
Joint optimization of a signal processing chain for hydroacoustic signal classification
Tuma, M., Igel, Christian & Prior, M., 2013. 1 s.Publikation: Konferencebidrag › Poster › Forskning
- Udgivet
Investigation of kernel-based machine learning techniques for infrasound signal classification
Tuma, M. & Igel, Christian, 2013. 1 s.Publikation: Konferencebidrag › Poster › Forskning
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
- 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
- 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 › fagfællebedømt
- Udgivet
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.Publikation: Working paper › Preprint › Forskning
- 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
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
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
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 Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge
Sørensen, L., Lillholm, Martin, Pai, A. S. U., 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
- Udgivet
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
Shakibfar, Saeed, 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 › fagfællebedømt
Image processing and behaviour planning for intelligent vehicles
Bücher, T., Curio, C., Edelbrunner, J., Igel, Christian, Kastrup, D., Leefken, I., Lorenz, G., Steinhage, A. & Seelen, W. V., 2003, I: IEEE Transactions on Industrial Electronics. 50, 1, s. 62-75 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
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
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 › 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
- 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
- Udgivet
Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression
Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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
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