Christian Igel

Christian Igel, Mads Nielsen, François Lauze, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Editorial: Special issue on organic computing

Hartmut Schmeck, Christian Igel, Rolf P. Würtz, 2010, TAAS.

Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience

Christian Igel, Hubert R. Dinse, Christian Klaes, 2004, Genetic Programming and Evolvable Machines.

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Fabian Gieseke, Christian Igel, Justin Heinermann, 2014, ICML.

Evolutionary Kernel Learning

Christian Igel, C. Igel, 2017, Encyclopedia of Machine Learning and Data Mining.

Echtzeit-Videoanalyse im Fußball

Marc Schlipsing, Jan Salmen, Christian Igel, 2013, KI - Künstliche Intelligenz.

Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study

Tobias Friedrich, Christian Igel, Karl Bringmann, 2010, GECCO '10.

Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts

Christian Igel, Peter Meinicke, Tobias Glasmachers, 2006, ICANN.

Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

Nicola Beume, Günter Rudolph, Christian Igel, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Toward an automated dynamic organization )

Bernd Bischl, Günter Rudolph, Rainer Martin, 2011 .

Robust Active Label Correction

Christian Igel, Fei Sha, Jan Kremer, 2018, AISTATS.

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions

Markus Wagner, Oswin Krause, Christian Igel, 2018, PPSN.

Making Driver Modeling Attractive

Gregor Schöner, Christian Igel, Johann Edelbrunner, 2005, IEEE Intell. Syst..

Covariance Matrix Adaptation for Multi-objective Optimization

Stefan Roth, Christian Igel, Nikolaus Hansen, 2007, Evolutionary Computation.

Christian Igel, Verena Heidrich-Meisner, C. Igel, 2008, ESANN.

Evolutionary Kernel Learning

Christian Igel, 2010, Encyclopedia of Machine Learning.

Operator adaptation in evolutionary computation and its application to structure optimization of neural networks

Christian Igel, Martin Kreutz, C. Igel, 2003, Neurocomputing.

Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection

Christian Igel, Peter Meinicke, Tobias Glasmachers, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

Evolutionary Optimization of Neural Systems: The Use of Strategy Adaptation

Christian Igel, Frauke Friedrichs, Stefan Wiegand, 2005 .

Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters

Christian Igel, Tobias Glasmachers, T. Glasmachers, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evolutionary Optimization of Neural Networks for Face Detection

Christian Igel, Uwe Handmann, Stefan Wiegand, 2004, ESANN.

Bigger Buffer k-d Trees on Multi-Many-Core Systems

Tom Heskes, Fabian Gieseke, Christian Igel, 2018, VECPAR.

Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

Christian Igel, Sune Darkner, Henrik G. Jensen, 2014, Medical Imaging.

Beiträge zum Entwurf neuronaler Systeme

Christian Igel, Christian Igel, 2003 .

Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods

Kirsten Schmieder, Christian Igel, Susanne Winter, 2008, IEEE Transactions on Evolutionary Computation.

Structure optimization of reservoir networks

Christian Igel, Benjamin Roeschies, C. Igel, 2010, Log. J. IGPL.

Resilient Approximation of Kernel Classifiers

Christian Igel, Thorsten Suttorp, 2007, ICANN.

Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, 2012, IEEE Transactions on Intelligent Transportation Systems.

Task-dependent evolution of modularity in neural networks

Marc Toussaint, Christian Igel, Michael Hüsken, 2002 .

Evolutionary tuning of multiple SVM parameters

Christian Igel, Frauke Friedrichs, C. Igel, 2005, ESANN.

Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES

Christian Igel, Nikolaus Hansen, Thorsten Suttorp, 2007, EMO.

CMA-ES with Optimal Covariance Update and Storage Complexity

Oswin Krause, Christian Igel, Dídac Rodríguez Arbonès, 2016, NIPS.

Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren

Christian Igel, Susanne Winter, Bernhard Brendel, 2005, Bildverarbeitung für die Medizin.

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

Christian Igel, Mads Nielsen, François Lauze, 2012, Medical Imaging.

A Unified View on Multi-class Support Vector Classification

Christian Igel, Ürün Dogan, Tobias Glasmachers, 2016, J. Mach. Learn. Res..

Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines

Christian Igel, Asja Fischer, Asja Fischer, 2010, ICANN.

Uncertainty Handling in Model Selection for Support Vector Machines

Christian Igel, Tobias Glasmachers, T. Glasmachers, 2008, PPSN.

Towards exaggerated image stereotypes

Chen Chen, Christian Igel, Mads Nielsen, 2011, The First Asian Conference on Pattern Recognition.

Huge Music Archives on Mobile Devices

Bernd Bischl, Günter Rudolph, Rainer Martin, 2011, IEEE Signal Processing Magazine.

Massively-parallel best subset selection for ordinary least-squares regression

Tom Heskes, Fabian Gieseke, Christian Igel, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Gradient-Based Adaptation of General Gaussian Kernels

Christian Igel, Tobias Glasmachers, T. Glasmachers, 2005, Neural Computation.

Non-linearly increasing resampling in racing algorithms

Christian Igel, Verena Heidrich-Meisner, 2011, ESANN.

No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics

Christian Igel, C. Igel, 2014, Theory and Principled Methods for the Design of Metaheuristics.

Hydroacoustic Signal Classification Using Support Vector Machines

Christian Igel, Mark K. Prior, Matthias Tuma, 2012 .

The logarithmic hypervolume indicator

Tobias Friedrich, Christian Igel, Karl Bringmann, 2011, FOGA '11.

Empirical evaluation of the improved Rprop learning algorithms

Christian Igel, Michael Hüsken, C. Igel, 2003, Neurocomputing.

Balancing Learning And Evolution

Christian Igel, Michael Hüsken, 2002, GECCO.

Nearest neighbor classification using bottom-k sketches

Mikkel Thorup, Christian Igel, Søren Dahlgaard, 2013, 2013 IEEE International Conference on Big Data.

Qualitative and Quantitative Assessment of Step Size Adaptation Rules

Oswin Krause, Christian Igel, Tobias Glasmachers, 2017, FOGA '17.

Neuroevolution for reinforcement learning using evolution strategies

Christian Igel, C. Igel, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Approximation of Gaussian process regression models after training

Christian Igel, Thorsten Suttorp, 2008, ESANN.

Operator adaptation in structure optimization of neural networks

Christian Igel, Martin Kreutz, 2001 .

A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies

Oswin Krause, Christian Igel, C. Igel, 2015, FOGA.

Ontogenetic and Phylogenetic Reinforcement Learning

Julian Togelius, Tom Schaul, Jürgen Schmidhuber, 2009, Künstliche Intell..

Speedy greedy feature selection: Better redshift estimation via massive parallelism

Fabian Gieseke, Christian Igel, Kai Lars Polsterer, 2014, ESANN.

Image processing and behavior planning for intelligent vehicles

Werner von Seelen, Christian Igel, Gesa Lorenz, 2003, IEEE Trans. Ind. Electron..

Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring

Christian Igel, Mark Prior, Matthias Tuma, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Neutrality: a necessity for self-adaptation

Marc Toussaint, Christian Igel, Marc Toussaint, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Synergies between Evolutionary and Neural Computation

Bernhard Sendhoff, Christian Igel, B. Sendhoff, 2005, ESANN.

Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts

Christian Igel, Peter Meinicke, Tobias Glasmachers, 2006, ICANN.

bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices

Fabian Gieseke, Christian Igel, Cosmin E. Oancea, 2017, Knowl. Based Syst..

Recent Results on No-Free-Lunch Theorems for Optimization

Marc Toussaint, Christian Igel, 2003, ArXiv.

Second-Order SMO Improves SVM Online and Active Learning

Christian Igel, Tobias Glasmachers, T. Glasmachers, 2008, Neural Computation.

Improving the Rprop Learning Algorithm

Christian Igel, Michael Hüsken, C. Igel, 2000 .

Evolutionary Multi-Objective Optimisation Of Neural Networks For Face Detection

Christian Igel, Uwe Handmann, Stefan Wiegand, 2004, Int. J. Comput. Intell. Appl..

Registration of bone structures in 3D ultrasound and CT data: Comparison of different optimization strategies

Christian Igel, Bernhard Brendel, Susanne Winter, 2005 .

Accurate Segmentation of Dental Panoramic Radiographs with U-NETS

Christian Igel, Sami Sebastian Brandt, Thorbjørn Louring Koch, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Linear feature selection in texture analysis - A PLS based method

Christian Igel, Martin Lillholm, Erik Dam, 2012, Machine Vision and Applications.

Multi-objective Model Selection for Support Vector Machines

Christian Igel, C. Igel, 2005, EMO.

A Dynamic Neural Field Model of Mesoscopic Cortical Activity Captured with Voltage-Sensitive Dye Imaging

Christian Igel, Amiram Grinvald, Dirk Jancke, 2010, PLoS Comput. Biol..

New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization

Heike Trautmann, Christian Igel, Thomas Voß, 2010, PPSN.

Learning Density Independent Texture Features

Nico Karssemeijer, Christian Igel, Mads Nielsen, 2016, Digital Mammography / IWDM.

Improved step size adaptation for the MO-CMA-ES

Christian Igel, Thomas Voß, Nikolaus Hansen, 2010, GECCO '10.

Multi-Objective Neural Network Optimization for Visual Object Detection

Stefan Roth, Christian Igel, Alexander Rainer Tassilo Gepperth, 2006, Multi-Objective Machine Learning.

Learning ∈ Artificial Intelligence ∩ Cognitive Technologies ∩ Neural Computation ∩ …

Christian Igel, 2012, KI - Künstliche Intelligenz.

Optimization of Neural Field Models

Christian Igel, Wolfram Erlhagen, Dirk Jancke, 2001 .

Population-Contrastive-Divergence: Does consistency help with RBM training? pdf

Oswin Krause, Christian Igel, Asja Fischer, 2018, Pattern Recognit. Lett..

Detection of traffic signs in real-world images: The German traffic sign detection benchmark

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features

Jan Salmen, Christian Igel, Lukas Caup, 2011, EMO.

A Note on Generalization Loss When Evolving Adaptive Pattern Recognition Systems

Christian Igel, C. Igel, 2013, IEEE Transactions on Evolutionary Computation.

Multi-Objective Optimization of Support Vector Machines

Christian Igel, Thorsten Suttorp, C. Igel, 2006, Multi-Objective Machine Learning.

The German Traffic Sign Recognition Benchmark: A multi-class classification competition

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, 2011, The 2011 International Joint Conference on Neural Networks.

On PAC-Bayesian bounds for random forests

Christian Igel, Yevgeny Seldin, Stephan Sloth Lorenzen, 2019, Machine Learning.

Neutrality and self-adaptation

Marc Toussaint, Christian Igel, Marc Toussaint, 2003, Natural Computing.

Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211)

Lothar Thiele, Christian Igel, Benjamin Doerr, 2015, Dagstuhl Reports.

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation

Joseph Blair, Akshay Pai, Christian Igel, 2017, Deep Learning for Medical Image Analysis.

Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191)

Xin Yao, Lothar Thiele, Christian Igel, 2017, Dagstuhl Reports.

The chaining syllogism in fuzzy logic

Karl-Heinz Temme, Christian Igel, C. Igel, 2004, IEEE Transactions on Fuzzy Systems.

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation

Christian Igel, Dirk V. Arnold, 2014, GECCO 2014.

Towards exaggerated emphysema stereotypes

Lauge Sørensen, Marleen de Bruijne, Christian Igel, 2012, Medical Imaging.

Proposal for IJCNN 2013 competition: The German Traffic Sign Detection Benchmark

Johannes Stallkamp, Marc Schlipsing, Jan Salmen, 2013 .

Maximum-Gain Working Set Selection for SVMs

Christian Igel, Tobias Glasmachers, T. Glasmachers, 2006, J. Mach. Learn. Res..

A Strongly Quasiconvex PAC-Bayesian Bound

Christian Igel, Yevgeny Seldin, Olivier Wintenberger, 2016, ALT.

A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies

Christian Igel, Nikolaus Hansen, Thorsten Suttorp, 2006, GECCO.

Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

Fabian Gieseke, Christian Igel, Kai Lars Polsterer, 2016, ESANN.

Adaptive pattern recognition in real-time video-based soccer analysis

Marc Schlipsing, Jan Salmen, Christian Igel, 2017, Journal of Real-Time Image Processing.

Improved Working Set Selection for LaRank

Christian Igel, Matthias Tuma, 2011, CAIP.

Training Big Random Forests with Little Resources

Fabian Gieseke, Christian Igel, C. Igel, 2018, KDD.

Training restricted Boltzmann machines: An introduction

Christian Igel, Asja Fischer, Asja Fischer, 2014, Pattern Recognit..

Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets

Christian Igel, Mark Prior, Matthias Tuma, 2010, 2010 20th International Conference on Pattern Recognition.

Bounding the Bias of Contrastive Divergence Learning

Christian Igel, Asja Fischer, Asja Fischer, 2011, Neural Computation.

Approximation properties of DBNs with binary hidden units and real-valued visible units

Oswin Krause, Christian Igel, Asja Fischer, 2013, ICML.

A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines

Christian Igel, Asja Fischer, 2015, Theor. Comput. Sci..

Gasteditorial Reinforcement Learning

Christian Igel, 2009, Künstliche Intell..

Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives

Christian Igel, Asja Fischer, Asja Fischer, 2011, ESANN.

The flip-the-state transition operator for restricted Boltzmann machines

Christian Igel, Asja Fischer, Kai Brügge, 2013, Machine Learning.

Computational Complexity of Linear Large Margin Classification With Ramp Loss

Christian Igel, Søren Frejstrup Maibing, C. Igel, 2015, AISTATS.

Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation

Christian Igel, Dirk V. Arnold, 2014, GECCO 2014.

Evolutionary Parameter Optimization for Visual Obstacle Detection

Christian Igel, Thomas Bergener, Carsten Bruckhoff, 2000 .

Effects of phenotypic redundancy in structure optimization

Christian Igel, Peter Stagge, C. Igel, 2002, IEEE Trans. Evol. Comput..

Editorial - Project Reports

Christian Igel, 2017, Künstliche Intell..

Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database

Christian Igel, Wolfgang Banzhaf, Jens Niehaus, 2007, Evolutionary Computation.

Nearest neighbor density ratio estimation for large-scale applications in astronomy

Fabian Gieseke, Christian Igel, K. S. Pedersen, 2015, Astron. Comput..

Information Bottleneck: Exact Analysis of (Quantized) Neural Networks pdf

Christian Igel, Stephan Sloth Lorenzen, Mads Nielsen, 2021, ArXiv.

Data, Knowledge, and Computation

Christian Igel, C. Igel, 2021, KI - Künstliche Intelligenz.

Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

Christian Igel, Rasmus Kær Jørgensen, C. Igel, 2021, Intell. Syst. Account. Finance Manag..

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts pdf

Oswin Krause, Christian Igel, Mads Nielsen, 2021, ArXiv.

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote pdf

Christian Igel, Yevgeny Seldin, Andr'es R. Masegosa, 2021, ArXiv.

Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass pdf

Stefan Oehmcke, Fabian Gieseke, Christian Igel, 2021, ArXiv.

On Scaling Contrastive Representations for Low-Resource Speech Recognition

Christian Igel, Lars Maaloe, Jakob Drachmann Havtorn, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Do We Still Need Automatic Speech Recognition for Spoken Language Understanding? pdf

Anders Sogaard, Christian Igel, Lars Maaloe, 2021, ArXiv.

VALIDATION OF HIPPOCAMPAL TEXTURE FOR EARLY ALZHEIMER'S DISEASE DETECTION: GENERALIZATION TO INDEPENDENT COHORTS AND EXTRAPOLATION TO VERY EARLY SIGNS OF DEMENTIA

Lauge Sørensen, Egill Rostrup, Christian Igel, 2014, Alzheimer's & Dementia.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote pdf

Christian Igel, Yevgeny Seldin, Andr'es R. Masegosa, 2020, NeurIPS.

Derandomized Evolution Strategies in Computational Neuroscience

Christian Igel, Hubert R. Dinse, Marc Nunkesser, 2007 .

Graph isomorphisms effect on structure optimization of neural networks

Christian Igel, C. Igel, P. Stagge, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Simple, Fast and Accurate Photometric Estimation of Specific Star Formation Rate

Fabian Gieseke, Christian Igel, Kim Steenstrup Pedersen, 2015 .