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Isabelle Guyon
2010 – today
- 2012
[j20]Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire: ICML2011 Unsupervised and Transfer Learning Workshop. Journal of Machine Learning Research - Proceedings Track 27: 1-16 (2012)
[j19]Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon: Clustering: Science or Art? Journal of Machine Learning Research - Proceedings Track 27: 65-80 (2012)
[j18]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha: Analysis of the IJCNN 2011 UTL challenge. Neural Networks 32: 174-178 (2012)
[c21]Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Ben Hamner, Hugo Jair Escalante: ChaLearn gesture challenge: Design and first results. CVPR Workshops 2012: 1-6- 2011
[j17]Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis: Time Series Analysis with the Causality Workbench. Journal of Machine Learning Research - Proceedings Track 12: 115-139 (2011)
[j16]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Results of the Active Learning Challenge. Journal of Machine Learning Research - Proceedings Track 16: 19-45 (2011)
[c20]Isabelle Guyon, Vassilis Athitsos: Demonstrations and live evaluation for the gesture recognition challenge. ICCV Workshops 2011: 461-462
[c19]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha: Unsupervised and transfer learning challenge. IJCNN 2011: 793-800- 2010
[j15]Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf: Causality: Objectives and Assessment. Journal of Machine Learning Research - Proceedings Track 6: 1-42 (2010)
[j14]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Model Selection: Beyond the Bayesian/Frequentist Divide. Journal of Machine Learning Research 11: 61-87 (2010)
[c18]Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov: Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development 2010
[c17]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Design and analysis of the WCCI 2010 active learning challenge. IJCNN 2010: 1-8
2000 – 2009
- 2009
[j13]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel: Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. Journal of Machine Learning Research - Proceedings Track 7: 1-22 (2009)
[j12]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel: Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database. SIGKDD Explorations 11(2): 68-76 (2009)- 2008
[j11]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov: Design and Analysis of the Causation and Prediction Challenge. Journal of Machine Learning Research - Proceedings Track 3: 1-33 (2008)
[j10]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks 21(2-3): 544-550 (2008)- 2007
[j9]Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A. Pletscher, Georg Schneider, Markus Uhr: Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark. Pattern Recognition Letters 28(12): 1438-1444 (2007)
[c16]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834- 2006
[c15]Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann: PerformancePrediction Challenge. IJCNN 2006: 1649-1656- 2004
[c14]Katrin Franke, Isabelle Guyon, Lambert Schomaker, Louis Vuurpijl: The WANDAML markup language for digital document annotation. IWFHR 2004: 563-568
[c13]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror: Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS 2004- 2003
[j8]Isabelle Guyon, André Elisseeff: An Introduction to Variable and Feature Selection. Journal of Machine Learning Research 3: 1157-1182 (2003)
[c12]Katrin Franke, Lambert Schomaker, Christian Veenhuis, C. Taubenheim, Isabelle Guyon, Louis Vuurpijl, Merijn van Erp, G. Zwarts: WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification. HIS 2003: 927-938- 2002
[j7]Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik: Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning 46(1-3): 389-422 (2002)
[c11]Asa Ben-Hur, André Elisseeff, Isabelle Guyon: A Stability Based Method for Discovering Structure in Clustered Data. Pacific Symposium on Biocomputing 2002: 6-17
1990 – 1999
- 1998
[j6]Isabelle Guyon: Pattern classification - By J. Schürmann. Wiley-Interscience, ISBN: 0-471-13534-8. Pattern Anal. Appl. 1(2): 142-143 (1998)
[j5]Isabelle Guyon, John Makhoul, Richard M. Schwartz, Vladimir Vapnik: What Size Test Set Gives Good Error Rate Estimates?. IEEE Trans. Pattern Anal. Mach. Intell. 20(1): 52-64 (1998)- 1996
[p1]Isabelle Guyon, Nada Matic, Vladimir Vapnik: Discovering Informative Patterns and Data Cleaning. Advances in Knowledge Discovery and Data Mining 1996: 181-203- 1995
[j4]Markus Schenkel, Isabelle Guyon, Donnie Henderson: On-line cursive script recognition using time-delay neural networks and hidden Markov models. Mach. Vis. Appl. 8(4): 215-223 (1995)
[c10]Isabelle Guyon, Fernando Pereira: Design of a linguistic postprocessor using variable memory length Markov models. ICDAR 1995: 454-457- 1994
[j3]H. Weissman, Markus Schenkel, Isabelle Guyon, C. Nohl, Donnie Henderson: Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation. Pattern Recognition 27(3): 405-420 (1994)
[c9]Isabelle Guyon, Nada Matic, Vladimir Vapnik: Discovering Informative Patterns and Data Cleaning. KDD Workshop 1994: 145-156- 1993
[j2]Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah: Signature Verification Using A "Siamese" Time Delay Neural Network. IJPRAI 7(4): 669-688 (1993)
[c8]Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah: Signature Verification Using a Siamese Time Delay Neural Network. NIPS 1993: 737-744- 1992
[c7]Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik: A Training Algorithm for Optimal Margin Classifiers. COLT 1992: 144-152
[c6]Isabelle Guyon, Bernhard E. Boser, Vladimir Vapnik: Automatic Capacity Tuning of Very Large VC-Dimension Classifiers. NIPS 1992: 147-155
[c5]Markus Schenkel, H. Weissman, Isabelle Guyon, C. Nohl, Donnie Henderson: Recognition-Based Segmentation of On-Line Hand-Printed Words. NIPS 1992: 723-730- 1991
[j1]Isabelle Guyon, P. Albrecht, Yann LeCun, John S. Denker, Wayne E. Hubbard: Design of a neural network character recognizer for a touch terminal. Pattern Recognition 24(2): 105-119 (1991)
[c4]Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla: Structural Risk Minimization for Character Recognition. NIPS 1991: 471-479- 1990
[c3]Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla: Neural Network Implementation of Admission Control. NIPS 1990: 493-499
1980 – 1989
- 1988
[c2]John S. Denker, W. R. Gardner, Hans Peter Graf, Donnie Henderson, R. E. Howard, Wayne E. Hubbard, Lawrence D. Jackel, Henry S. Baird, Isabelle Guyon: Neural Network Recognizer for Hand-Written Zip Code Digits. NIPS 1988: 323-331- 1987
[c1]Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz: High Order Neural Networks for Efficient Associative Memory Design. NIPS 1987: 233-241
Coauthor Index
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last updated on 2013-04-13 22:06 CEST by the dblp team



