Christian Igel
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
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
- 2022
- 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
Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets
Perslev, Mathias, Pai, A., Runhaar, J., Igel, Christian & Dam, Erik Bjørnager, 2022, I: Journal of Magnetic Resonance Imaging.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
- 2021
- Udgivet
Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
Lorenzen, Stephan Sloth, Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
U-Sleep: resilient high-frequency sleep staging
Perslev, Mathias, Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 apr. 2021, I: npj Digital Medicine. 4, 1, 12 s., 72.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- Udgivet
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Wu, Yi Shan, Masegosa, A. R., Lorenzen, Stephan Sloth, 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
Data, Knowledge, and Computation
Igel, Christian, 2021, I: KI - Kunstliche Intelligenz. 35, s. 247–249Publikation: Bidrag til tidsskrift › Leder › Forskning
- Udgivet
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, Casper, Hansen, Christian, Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, Stephan Sloth, Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
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
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, I: Radiology. Artificial intelligence. 3, 3, 13 s., e200078.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2020
- 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
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
- Udgivet
A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge
Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, Mathias, Pai, A., Igel, Christian, Dam, Erik Bjørnager, Gaj, S., Yang, M., Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, I: Osteoarthritis and Cartilage Open. 28, Suppl. 1, s. 5304-5305Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › 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 unexpectedly large count of trees in the West African Sahara and Sahel
Brandt, Martin Stefan, Tucker, C. J., Kariryaa, A., Rasmussen, Kjeld, Abel, Christin, Small, J., Chave, J., Rasmussen, Laura Vang, Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, Ole, Igel, Christian, Gieseke, Fabian Cristian, Schöning, J., Li, Sizhuo, Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, I: Nature. 587, s. 78–82Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
- 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
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Masegosa, A. R., Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2019
- Udgivet
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 okt. 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Bind 32. s. 4415-4426Publikation: 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
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
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
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
Shakibfar, S., Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, Jonas, Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, I: PLoS ONE. 14, 8, e0219533.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
On PAC-Bayesian bounds for random forests
Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2019, I: Machine Learning. 108, 8-9, s. 1503-1522Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
- 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
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning
Shakibfar, S., Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, Jonas, Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, I: Europace. 21, 2, s. 268–274Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2018
- Udgivet
Sparse incomplete LU-decomposition for wave farm designs under realistic conditions
Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 jan. 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, s. 512-524 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11101 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, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › 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
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Florescu, C. & Igel, Christian, 2018. 5 s.Publikation: Konferencebidrag › Paper › 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
Training big random forests with little resources
Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, s. 1445-1454Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2017
- Udgivet
Adaptive pattern recognition in real-time video-based soccer analysis
Schlipsing, M., Salmen, J., Tschentscher, M. & Igel, Christian, jun. 2017, I: Journal of Real-Time Image Processing. 13, 2, s. 345–361 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 mar. 2017, I: Knowledge-Based Systems. 120, s. 1-3 3 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
- 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
- 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
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
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
Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, I: NeuroImage: Clinical. 13, s. 470-482 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
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
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
Sacrificing information for the greater good: how to select photometric bands for optimal accuracy
Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, I: Monthly Notices of the Royal Astronomical Society. 464, 3, s. 2577-2596 20 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2016
- Udgivet
A unified view on multi-class support vector classification
Doğan, Ü., Glasmachers, T. & Igel, Christian, 2016, I: Journal of Machine Learning Research. 17, 32 s., 45.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
Early detection of Alzheimer's disease using MRI hippocampal texture
Sørensen, L., Igel, Christian, Hansen, N. L., Osler, Merete, Lauritzen, Martin, Rostrup, Egill & Nielsen, Mads, 2016, I: Human Brain Mapping. 37, 3, s. 1148-1161 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
- 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 › 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
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 › 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
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
- Udgivet
Separating timing, movement conditions and individual differences in the analysis of human movement
Raket, L. L., Grimme, B., Schöner, G., Igel, Christian & Markussen, Bo, 2016, I: PLoS Computational Biology. 12, 9, s. e1005092 27 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
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, Pengfei, 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
- 2015
- Udgivet
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2015, I: Theoretical Computer Science. 598, s. 102-117 16 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › 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
Assessing breast cancer masking risk in full field digital mammography with automated texture analysis
Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, 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, Pengfei, 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
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, Pengfei, 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
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
- 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
- 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
Hippocampal MRI texture is related to hippocampal glucose metabolism
Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2015, I: Alzheimer's & Dementia. 11, 7, Supplement, s. P55-P56 2 s., IC-P-077.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects
Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, I: Neurodegenerative Diseases. 15, Suppl. 1, s. 262 1 s., ADPD5-0947.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- 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
- 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 › Forskning
- 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
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
- 2014
- 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
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, Anders Elias, 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
- 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
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
- 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
- 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 › 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
Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computation (GECCO 2014)
Igel, Christian (red.) & Arnold, D. (red.), 2014, Association for Computing Machinery. 1450 s.Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
- Udgivet
Speedy greedy feature selection: better redshift estimation via massive parallelism
Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (red.). i6doc.com, s. 87-92 6 s.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
Training restricted Boltzmann machines: an introduction
Fischer, A. & Igel, Christian, 2014, I: Pattern Recognition. 47, 1, s. 25-39 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Validation of hippocampal texture for early Alzheimer’s disease detection: generalization to independent cohorts and extrapolation to very early signs of dementia
Sørensen, L., Igel, Christian, Hansen, N. L., Lauritzen, Martin, Osler, Merete, Rostrup, Egill & Nielsen, Mads, 2014, I: Alzheimer's & Dementia. 10, 4, Supplement, s. P133 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- 2013
- 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
- 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
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
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
- Udgivet
Echtzeit-Videoanalyse im Fußball
Schlipsing, M., Salmen, J. & Igel, Christian, 2013, I: KI - Künstliche Intelligenz. 27, 3, s. 235-240 6 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- Udgivet
GECCO '13: Proceedings of the 2013 Genetic and Evolutionary Computation Conference
Blum, C. (red.), Alba, E. (red.), Auger, A. (red.), Bacardit, J. (red.), Bongard, J. (red.), Branke, J. (red.), Bredeche, N. (red.), Brockhoff, D. (red.), Chicano, F. (red.), Dorin, A. (red.), Doursat, R. (red.), Ekart, A. (red.), Friedrich, T. (red.), Giacobini, M. (red.), Harman, M. (red.), Iba, H. (red.), Igel, Christian (red.), Jansen, T. (red.), Kovacs, T. (red.), Kowaliw, T. (red.), Lopez-Ibanez, M. (red.), Lozano, J. A. (red.), Luque, G. (red.), McCall, J. (red.), Moraglio, A. (red.), Motsinger-Reif, A. (red.), Neumann, F. (red.), Ochoa, G. (red.), Olague, G. (red.), Ong, Y. (red.), Palmer, M. E. (red.), Pappa, G. L. (red.), Parsopoulos, K. E. (red.), Schmickl, T. (red.), Smith, S. L. (red.), Solnon, C. (red.), Stuetzle, T. (red.), Talbi, E. (red.), Tauritz, D. (red.) & Vanneschi, L. (red.), 2013, Association for Computing Machinery.Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
- Udgivet
Hippocampal texture predicts conversion from MCI to Alzheimer's disease
Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P581 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Hippocampal texture predicts conversion from MCI to Alzheimer's disease
Sørensen, L., Igel, Christian & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P52 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Hippocampal texture predicts one-year hippocampal atrophy in mild cognitively impaired subjects
Sørensen, L., Pai, A. S. U., Mysling, P., Darkner, Sune, Chen, G., Oh, J., Suhy, J., Igel, Christian & Nielsen, Mads, 2013. 1 s.Publikation: Konferencebidrag › Poster › Forskning › fagfællebedømt
- Udgivet
Investigation of kernel-based machine learning techniques for infrasound signal classification
Tuma, M. & Igel, Christian, 2013. 1 s.Publikation: Konferencebidrag › Poster › 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
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 › 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
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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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