Christian Igel
Orcid: 0000-0003-2868-0856Affiliations:
- University of Copenhagen, Copenhagen, Denmark
According to our database1,
Christian Igel
authored at least 175 papers
between 1997 and 2024.
Collaborative distances:
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on d-nb.info
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on dl.acm.org
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Bibliography
2024
CoRR, 2024
2023
Künstliche Intell., March, 2023
CoRR, 2023
Predicting urban tree cover from incomplete point labels and limited background information.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods.
Remote. Sens., 2022
IEEE J. Sel. Top. Signal Process., 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Frontiers in Handwriting Recognition - 18th International Conference, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022
2021
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields.
Intell. Syst. Account. Finance Manag., 2021
CoRR, 2021
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Artif. Intell., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Interspeech 2020, 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Pattern Recognit. Lett., 2018
Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices.
Knowl. Based Syst., 2017
J. Real Time Image Process., 2017
IEEE Intell. Syst., 2017
Dagstuhl Reports, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
IEEE Trans. Medical Imaging, 2016
Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2016
Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement.
PLoS Comput. Biol., 2016
J. Mach. Learn. Res., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines.
Theor. Comput. Sci., 2015
Astron. Comput., 2015
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014
Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
IEEE Trans. Evol. Comput., 2013
Mach. Vis. Appl., 2013
Mach. Learn., 2013
Künstliche Intell., 2013
Artif. Intell., 2013
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Detection of traffic signs in real-world images: The German traffic sign detection benchmark.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Approximation properties of DBNs with binary hidden units and real-valued visible units.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Nearest neighbour regression outperforms model-based prediction of specific star formation rate.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
IEEE Trans. Intell. Transp. Syst., 2012
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition.
Neural Networks, 2012
Learning ∈ Artificial Intelligence ∩ Cognitive Technologies ∩ Neural Computation ∩ ...
Künstliche Intell., 2012
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2011
The German Traffic Sign Recognition Benchmark: A multi-class classification competition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
Proceedings of the First Asian Conference on Pattern Recognition, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis.
Pattern Recognit. Lett., 2010
A Dynamic Neural Field Model of Mesoscopic Cortical Activity Captured with Voltage-Sensitive Dye Imaging.
PLoS Comput. Biol., 2010
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Mach. Learn., 2009
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009
2008
Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods.
IEEE Trans. Evol. Comput., 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Similarities and differences between policy gradient methods and evolution strategies.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Organic Computing, 2008
2007
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts.
Int. J. Neural Syst., 2007
Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database.
Evol. Comput., 2007
Proceedings of the Artificial Neural Networks, 2007
Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
2006
Proceedings of the Multi-Objective Machine Learning, 2006
Proceedings of the Multi-Objective Machine Learning, 2006
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005
2004
J. Math. Model. Algorithms, 2004
Int. J. Comput. Intell. Appl., 2004
Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience.
Genet. Program. Evolvable Mach., 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
IEEE Trans. Ind. Electron., 2003
Inf. Process. Lett., 2003
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks.
Neurocomputing, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
IEEE Trans. Evol. Comput., 2002
Balancing Learning And Evolution.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1997
Proceedings of the Computational Intelligence, 1997