Pierre Geurts

Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts: Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinformatics 28(13): 1766-1774 (2012)

Samuel Hiard, Pierre Geurts, Louis Wehenkel: Comparator selection for RPC with many labels. ECAI 2012: 408-413

Francis Maes, Pierre Geurts, Louis Wehenkel: Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods. ECML/PKDD (1) 2012: 191-206

Gilles Louppe, Pierre Geurts: Ensembles on Random Patches. ECML/PKDD (1) 2012: 346-361

Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc: DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction. CoRR abs/1201.1174 (2012)

Wei Du, Yongjun Liao, Pierre Geurts, Guy Leduc: Ordinal Rating of Network Performance and Inference by Matrix Completion. CoRR abs/1211.0447 (2012)

Pierre Geurts, Gilles Louppe: Learning to rank with extremely randomized trees. Journal of Machine Learning Research - Proceedings Track 14: 49-61 (2011)

Pierre Geurts: Learning from positive and unlabeled examples by enforcing statistical significance. Journal of Machine Learning Research - Proceedings Track 15: 305-314 (2011)

Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc: Decentralized prediction of end-to-end network performance classes. CoNEXT 2011: 14

François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel: Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) 2011: 113-128

Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts: Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. PRIB 2011: 179-190

Saso Dzeroski, Pierre Geurts, Juho Rousu: Preface. Journal of Machine Learning Research - Proceedings Track 8: 1-2 (2010)

Ibtissam El Khayat, Pierre Geurts, Guy Leduc: Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning. Wireless Networks 16(2): 273-290 (2010)

Raphaël Marée, Olivier Stern, Pierre Geurts: Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments. CLEF (Notebook Papers/LABs/Workshops) 2010

Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts: Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval 2010: 91-100

Yongjun Liao, Pierre Geurts, Guy Leduc: Network Distance Prediction Based on Decentralized Matrix Factorization. Networking 2010: 15-26

Pierre Geurts: Bias vs Variance Decomposition for Regression and Classification. Data Mining and Knowledge Discovery Handbook 2010: 733-746

Yongjun Liao, Mohamed Ali Kâafar, Bamba Gueye, François Cantin, Pierre Geurts, Guy Leduc: Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning. Networking 2009: 352-363

Marie Dumont, Raphaël Marée, Louis Wehenkel, Pierre Geurts: Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. VISAPP (2) 2009: 196-203

Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts: Exploiting tree-based variable importances to selectively identify relevant variables. Journal of Machine Learning Research - Proceedings Track 4: 60-73 (2008)

Pierre Geurts, Nizar Touleimat, Marie Dutreix, Florence d'Alché-Buc: Inferring biological networks with output kernel trees. BMC Bioinformatics 8(S-2) (2007)

Ibtissam El Khayat, Pierre Geurts, Guy Leduc: Machine-learnt versus analytical models of TCP throughput. Computer Networks 51(10): 2631-2644 (2007)

Alberto Del Angel, Pierre Geurts, Damien Ernst, Mevludin Glavic, Louis Wehenkel: Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing 70(16-18): 2668-2678 (2007)

Raphaël Marée, Pierre Geurts, Louis Wehenkel: Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) 2007: 611-620

Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Gradient boosting for kernelized output spaces. ICML 2007: 289-296

Pierre Geurts, Damien Ernst, Louis Wehenkel: Extremely randomized trees. Machine Learning 63(1): 3-42 (2006)

Minh Quach, Pierre Geurts: Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data. ESANN 2006: 569-574

Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Kernelizing the output of tree-based methods. ICML 2006: 345-352

Vincent Auvray, Pierre Geurts, Louis Wehenkel: A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. ISAIM 2006

Ibtissam El Khayat, Pierre Geurts, Guy Leduc: On the Accuracy of Analytical Models of TCP Throughput. Networking 2006: 488-500

Pierre Geurts, Marianne Fillet, Dominique de Seny, Marie-Alice Meuwis, Michel Malaise, Marie-Paule Merville, Louis Wehenkel: Proteomic mass spectra classification using decision tree based ensemble methods. Bioinformatics 21(14): 3138-3145 (2005)

Damien Ernst, Pierre Geurts, Louis Wehenkel: Tree-Based Batch Mode Reinforcement Learning. Journal of Machine Learning Research 6: 503-556 (2005)

Pierre Geurts: Bias vs. Variance Decomposition for Regression and Classification. The Data Mining and Knowledge Discovery Handbook 2005: 749-763

Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel: Segment and Combine Approach for Biological Sequence Classification. CIBCB 2005: 194-201

Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229

Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40

Pierre Geurts, Louis Wehenkel: Closed-form dual perturb and combine for tree-based models. ICML 2005: 233-240

Ibtissam El Khayat, Pierre Geurts, Guy Leduc: Improving TCP in Wireless Networks with an Adaptive Machine-Learnt Classifier of Packet Loss Causes. NETWORKING 2005: 549-560

Pierre Geurts, Louis Wehenkel: Segment and Combine Approach for Non-parametric Time-Series Classification. PKDD 2005: 478-485

Pierre Geurts, Ibtissam El Khayat, Guy Leduc: A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks. ICDM 2004: 383-386

Damien Ernst, Pierre Geurts, Louis Wehenkel: Iteratively Extending Time Horizon Reinforcement Learning. ECML 2003: 96-107

Pierre Geurts: Pattern Extraction for Time Series Classification. PKDD 2001: 115-127

Pierre Geurts, Louis Wehenkel: Investigation and Reduction of Discretization Variance in Decision Tree Induction. ECML 2000: 162-170

Pierre Geurts: Some Enhencements of Decision Tree Bagging. PKDD 2000: 136-147

Pierre Geurts, Louis Wehenkel: Temporal Machine Learning for Switching Control. PKDD 2000: 401-408