Pierre Geurts
Orcid: 0000-0001-8527-5000Affiliations:
- Université de Liège, Belgium
According to our database1,
Pierre Geurts
authored at least 90 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Data Min. Knowl. Discov., January, 2024
2023
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain.
Digit. Humanit. Q., 2021
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
From global to local MDI variable importances for random forests and when they are Shapley values.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Transfer Learning with Style Transfer between the Photorealistic and Artistic Domain.
Proceedings of the Computer Vision and Image Analysis of Art 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images.
Proceedings of the Computer Analysis of Images and Patterns, 2021
2020
PeerJ Comput. Sci., 2020
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms.
CoRR, 2019
Gradient tree boosting with random output projections for multi-label classification and multi-output regression.
CoRR, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017
Tree ensemble methods and parcelling to identify brain areas related to Alzheimer's disease.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
A Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017
2016
Towards generic image classification using tree-based learning: An extensive empirical study.
Pattern Recognit. Lett., 2016
Bioinform., 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
2015
IEEE/ACM Trans. Netw., 2015
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge.
IEEE Trans. Medical Imaging, 2015
2014
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
2013
DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction.
IEEE/ACM Trans. Netw., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery.
Bioinform., 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Proceedings of the Yahoo! Learning to Rank Challenge, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods.
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 2011 Conference on Emerging Networking Experiments and Technologies, 2011
2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning.
Wirel. Networks, 2010
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
Proceedings of the NETWORKING 2010, 2010
Incremental indexing and distributed image search using shared randomized vocabularies.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments.
Proceedings of the CLEF 2010 LABs and Workshops, 2010
2009
IPSJ Trans. Comput. Vis. Appl., 2009
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009
Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning.
Proceedings of the NETWORKING 2009, 2009
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
Exploiting tree-based variable importances to selectively identify relevant variables.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
2007
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities.
Neurocomputing, 2007
Proceedings of the Machine Learning, 2007
2006
Proceedings of the NETWORKING 2006, 2006
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006
Proceedings of the Machine Learning, 2006
Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
Bioinform., 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Improving TCP in Wireless Networks with an Adaptive Machine-Learnt Classifier of Packet Loss Causes.
Proceedings of the NETWORKING 2005: Networking Technologies, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
Segment and Combine Approach for Biological Sequence Classification.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Bias vs. Variance Decomposition for Regression and Classification.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
Proceedings of the Research and Development in Intelligent Systems XX, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
Contributions to decision tree induction: bias/variance tradeoff and time series classification.
PhD thesis, 2002
2001
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000