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. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    2. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. 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 tidsskriftTidsskriftartikelfagfællebedømt

    4. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. 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, Fensholt, Rasmus, 2023, I: Nature climate change. 13, s. 91-97

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    6. 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 paperPreprintForskning

    7. Udgivet

      Multi-objective optimization with unbounded solution sets

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

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    8. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

    9. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

    10. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    11. 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, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, I: Nature Communications. 14, 10 s., 2258.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    12. 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/rapportKonferenceabstrakt i proceedingsForskning

    13. 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/rapportKonferenceabstrakt i proceedingsForskning

    14. 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 tidsskriftTidsskriftartikelfagfællebedømt

    15. 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 tidsskriftTidsskriftartikelfagfællebedømt

    16. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    17. 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 tidsskriftKonferenceartikelfagfællebedømt

    18. 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 tidsskriftTidsskriftartikelfagfællebedømt

    19. 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. 159-172

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    20. 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. 864-879

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    21. 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 tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    22. 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 tidsskriftTidsskriftartikelfagfællebedømt

    23. 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 tidsskriftLeder

    24. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    25. 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 tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    26. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    27. 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. 1951-1957

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    28. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    29. 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: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    30. 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 tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

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

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

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    32. Udgivet

      Joint optimization of a signal processing chain for hydroacoustic signal classification

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

      Publikation: KonferencebidragPosterForskning

    33. Udgivet

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

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

      Publikation: KonferencebidragPosterForskning

    34. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    35. 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 tidsskriftLeder

    36. 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 tidsskriftTidsskriftartikelfagfællebedømt

    37. Udgivet

      Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

      Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.

      Publikation: Working paperPreprintForskning

    38. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    39. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    40. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

    41. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    42. 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 tidsskriftKonferenceabstrakt i tidsskrift

    43. 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 tidsskriftTidsskriftartikelfagfællebedømt

    44. 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 tidsskriftTidsskriftartikelfagfællebedømt

    45. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

    46. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    47. 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 tidsskriftTidsskriftartikelfagfællebedømt

    48. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    49. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    50. 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: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    ID: 22657401