- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j7 |      | Stéphan Clémençon, Sylvain Robbiano, Nicolas Vayatis: Ranking data with ordinal labels: optimality and pairwise aggregation. Machine Learning 91(1): 67-104 (2013) |
| 2012 | ||
| i4 | | Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Hierarchical clustering for graph visualization. CoRR abs/1210.5693 (2012) |
| i3 | | Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Visual Mining of Epidemic Networks. CoRR abs/1210.5694 (2012) |
| i2 | | Charanpal Dhanjal, Sandrine Blanchemanche, Stéphan Clémençon, Ákos Róna-Tas, Fabrice Rossi: Dissemination of Health Information within Social Networks. CoRR abs/1211.4235 (2012) |
| 2011 | ||
| j6 | | Stéphan Clémençon, Marine Depecker, Nicolas Vayatis: Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree. Machine Learning 83(1): 31-69 (2011) |
| j5 | | Stéphan Clémençon, Marine Depecker, Nicolas Vayatis: Avancées récentes dans le domaine de l'apprentissage d'ordonnancements. Revue d'Intelligence Artificielle 25(3): 345-368 (2011) |
| c18 | | Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Hierarchical clustering for graph visualization. ESANN 2011 |
| c17 |  | Sylvain Robbiano, Stéphan Clémençon: Minimax Learning Rates for Bipartite Ranking and Plug-in Rules. ICML 2011: 441-448 |
| c16 | | Till Wohlfarth, Stéphan Clémençon, François Roueff, Xavier Casellato: A Data-Mining Approach to Travel Price Forecasting. ICMLA (1) 2011: 84-89 |
| c15 | | Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Visual Mining of Epidemic Networks. IWANN (2) 2011: 276-283 |
| c14 | | |
| c13 | | Stéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz: Clustering Rankings in the Fourier Domain. ECML/PKDD (1) 2011: 343-358 |
| c12 | | |
| i1 | | Charanpal Dhanjal, Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: The Evolution of the Cuban HIV/AIDS Network. CoRR abs/1109.2499 (2011) |
| 2010 | ||
| c11 | | Stéphan Clémençon, Jérémie Jakubowicz: Kantorovich Distances between Rankings with Applications to Rank Aggregation. ECML/PKDD (1) 2010: 248-263 |
| 2009 | ||
| j4 | | Stéphan Clémençon, Nicolas Vayatis: On Partitioning Rules for Bipartite Ranking. Journal of Machine Learning Research - Proceedings Track 5: 97-104 (2009) |
| j3 | | Stéphan Clémençon, Nicolas Vayatis: Tree-based ranking methods. IEEE Transactions on Information Theory 55(9): 4316-4336 (2009) |
| c10 | | Stéphan Clémençon, Nicolas Vayatis: Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm. ALT 2009: 216-231 |
| c9 | | Stéphan Clémençon, Nicolas Vayatis: Nonparametric estimation of the precision-recall curve. ICML 2009: 24 |
| c8 | | |
| c7 | | Stéphan Clémençon, Nicolas Vayatis, Marine Depecker: AUC optimization and the two-sample problem. NIPS 2009: 360-368 |
| 2008 | ||
| j2 | | Patrice Bertail, Stéphan Clémençon: Approximate regenerative-block bootstrap for Markov chains. Computational Statistics & Data Analysis 52(5): 2739-2756 (2008) |
| c6 | | Stéphan Clémençon, Nicolas Vayatis: Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm. ALT 2008: 22-37 |
| c5 | | Patrice Bertail, Stéphan Clémençon, Nicolas Vayatis: On Bootstrapping the ROC Curve. NIPS 2008: 137-144 |
| c4 | | Stéphan Clémençon, Nicolas Vayatis: Empirical performance maximization for linear rank statistics. NIPS 2008: 305-312 |
| c3 | | Stéphan Clémençon, Nicolas Vayatis: Overlaying classifiers: a practical approach for optimal ranking. NIPS 2008: 313-320 |
| 2007 | ||
| j1 | | Stéphan Clémençon, Nicolas Vayatis: Ranking the Best Instances. Journal of Machine Learning Research 8: 2671-2699 (2007) |
| 2005 | ||
| c2 | | Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis: Ranking and Scoring Using Empirical Risk Minimization. COLT 2005: 1-15 |
| c1 | | Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis: From Ranking to Classification: A Statistical View. GfKl 2005: 214-221 |
Colors in the list of coauthors
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