Pierre Geurts

	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

Coauthor Index

1	Jessica Aceto	[37]
2	Sourour Ammar	[38]
3	Alberto Del Angel	[21]
4	Vincent Auvray	[18]
5	François Cantin	[28]
6	Antia Blanco Cuesta	[15]
7	Philippe Denis	[33]
8	Wei Du	[39]
9	Marie Dumont	[27]
10	Marie Dutreix	[23]
11	Saso Dzeroski	[30]
12	Damien Ernst	[5] [7] [16] [21]
13	Marianne Fillet	[8]
14	Mevludin Glavic	[21]
15	Bamba Gueye	[28]
16	Vân Anh Huynh-Thu	[26]
17	Nathalie Jeanray	[37]
18	Mohamed Ali Kâafar	[28]
19	Ibtissam El Khayat	[6] [11] [17] [22] [29]
20	Guy Leduc	[6] [11] [17] [22] [28] [29] [32] [39]
21	Philippe Leray	[38]
22	Yongjun Liao	[28] [32] [39]
23	Gilles Louppe	[36]
24	Michel Malaise	[8]
25	Raphaël Marée	[13] [14] [25] [27] [33] [34] [37]
26	Marie-Paule Merville	[8]
27	Marie-Alice Meuwis	[8]
28	Marc Muller	[37]
29	Justus H. Piater	[13] [14]
30	Minh Quach	[20]
31	Juho Rousu	[30]
32	François Schnitzler	[38]
33	Dominique de Seny	[8]
34	Olivier Stern	[34] [37]
35	Nizar Touleimat	[23]
36	Louis Wehenkel	[1] [3] [5] [7] [8] [10] [12] [13] [14] [15] [16] [18] [19] [21] [24] [25] [26] [27] [33] [37] [38]
37	Florence d'Alché-Buc	[19] [23] [24]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page