| 2012 | ||
|---|---|---|
| 39 | Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc: DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction CoRR abs/1201.1174: (2012) | |
| 2011 | ||
| 38 | 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 | |
| 37 | 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 | |
| 36 | Pierre Geurts, Gilles Louppe: Learning to rank with extremely randomized trees. Journal of Machine Learning Research - Proceedings Track 14: 49-61 (2011) | |
| 35 | Pierre Geurts: Learning from positive and unlabeled examples by enforcing statistical significance. Journal of Machine Learning Research - Proceedings Track 15: 305-314 (2011) | |
| 2010 | ||
| 34 | 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 | |
| 33 | Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts: Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval 2010: 91-100 | |
| 32 | Yongjun Liao, Pierre Geurts, Guy Leduc: Network Distance Prediction Based on Decentralized Matrix Factorization. Networking 2010: 15-26 | |
| 31 | Pierre Geurts: Bias vs Variance Decomposition for Regression and Classification. Data Mining and Knowledge Discovery Handbook 2010: 733-746 | |
| 30 | Saso Dzeroski, Pierre Geurts, Juho Rousu: Preface. Journal of Machine Learning Research - Proceedings Track 8: 1-2 (2010) | |
| 29 | 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) | |
| 2009 | ||
| 28 | 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 | |
| 27 | 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 | |
| 2008 | ||
| 26 | 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) | |
| 2007 | ||
| 25 | Raphaël Marée, Pierre Geurts, Louis Wehenkel: Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) 2007: 611-620 | |
| 24 | Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Gradient boosting for kernelized output spaces. ICML 2007: 289-296 | |
| 23 | Pierre Geurts, Nizar Touleimat, Marie Dutreix, Florence d'Alché-Buc: Inferring biological networks with output kernel trees. BMC Bioinformatics 8(S-2): (2007) | |
| 22 | Ibtissam El Khayat, Pierre Geurts, Guy Leduc: Machine-learnt versus analytical models of TCP throughput. Computer Networks 51(10): 2631-2644 (2007) | |
| 21 | 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) | |
| 2006 | ||
| 20 | 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 | |
| 19 | Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Kernelizing the output of tree-based methods. ICML 2006: 345-352 | |
| 18 | Vincent Auvray, Pierre Geurts, Louis Wehenkel: A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. ISAIM 2006 | |
| 17 | Ibtissam El Khayat, Pierre Geurts, Guy Leduc: On the Accuracy of Analytical Models of TCP Throughput. Networking 2006: 488-500 | |
| 16 | Pierre Geurts, Damien Ernst, Louis Wehenkel: Extremely randomized trees. Machine Learning 63(1): 3-42 (2006) | |
| 2005 | ||
| 15 | Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel: Segment and Combine Approach for Biological Sequence Classification. CIBCB 2005: 194-201 | |
| 14 | Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229 | |
| 13 | Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40 | |
| 12 | Pierre Geurts, Louis Wehenkel: Closed-form dual perturb and combine for tree-based models. ICML 2005: 233-240 | |
| 11 | 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 | |
| 10 | Pierre Geurts, Louis Wehenkel: Segment and Combine Approach for Non-parametric Time-Series Classification. PKDD 2005: 478-485 | |
| 9 | Pierre Geurts: Bias vs. Variance Decomposition for Regression and Classification. The Data Mining and Knowledge Discovery Handbook 2005: 749-763 | |
| 8 | 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) | |
| 7 | Damien Ernst, Pierre Geurts, Louis Wehenkel: Tree-Based Batch Mode Reinforcement Learning. Journal of Machine Learning Research 6: 503-556 (2005) | |
| 2004 | ||
| 6 | Pierre Geurts, Ibtissam El Khayat, Guy Leduc: A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks. ICDM 2004: 383-386 | |
| 2003 | ||
| 5 | Damien Ernst, Pierre Geurts, Louis Wehenkel: Iteratively Extending Time Horizon Reinforcement Learning. ECML 2003: 96-107 | |
| 2001 | ||
| 4 | Pierre Geurts: Pattern Extraction for Time Series Classification. PKDD 2001: 115-127 | |
| 2000 | ||
| 3 | Pierre Geurts, Louis Wehenkel: Investigation and Reduction of Discretization Variance in Decision Tree Induction. ECML 2000: 162-170 | |
| 2 | Pierre Geurts: Some Enhencements of Decision Tree Bagging. PKDD 2000: 136-147 | |
| 1 | Pierre Geurts, Louis Wehenkel: Temporal Machine Learning for Switching Control. PKDD 2000: 401-408 | |
Colors in the list of coauthors
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