I. Ramadass Subramanian

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Computing Posterior Class Probabilities for SVM Classifiers

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Application and Comparison of SVMs and Other Methods for Identifying Unproven Cancer Treatments on the Web (Contributed by Yindalon Aphinyanaphongs)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Application and Comparison of SVMs and Other Methods for Retrieving High-Quality Content-Specific Articles (Contributed by Yindalon Aphinyanaphongs)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Application and Comparison of SVMs and Other Methods for Multicategory Classification in Microbiomics (Contributed by Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V. Alekseyenko)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Model Selection for SVMs

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

NIPS 2014 Workshop on High-energy Physics and Machine Learning

Isabelle Guyon, Balázs Kégl, David Rousseau, 2015, NIPS 2015.

Neural networks and applications tutorial

I. Guyon, I. Guyon, I. Ramadass Subramanian, 1991 .

Application and Comparison of SVMs and Other Methods for Identifying Drug–Drug Interactions-Related Literature (Contributed by Stephany Duda)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Basic Principles of Statistical Machine Learning

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

OVERVIEW AND SYNTHESIS OF ON-LINE CURSIVE HANDWRITING RECOGNITION TECHNIQUES

Isabelle Guyon, Isabelle Guyon, John S. Denker, 1997 .

Writer independent and writer adaptive neural network for on-line character recognition

Yann LeCun, Isabelle Guyon, P. Albrecht, 1992 .

Support Vector Machines (SVMs) for Binary Classification: Classical Formulation

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

TrackML: a LHC Tracking Machine Learning Challenge

David Rousseau, Paolo Calafiura, Isabelle Guyon, 2016 .

Comparison of SVMs and Kernel Ridge Regression for Microarray-Based Cancer Classification (Contributed by Zhiguo Li)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

of the 2015 ChaLeam AutoML Challenge

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2015 .

SVMs for Multi-Category Classification

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Learning to run a Power Network Challenge: a Retrospective Analysis

Gabriel Dulac-Arnold, Antoine Marot, Benjamin Donnot, 2021, NeurIPS.

Proceedings of the 2011 International Conference on KDD Cup 2011 - Volume 18

Isabelle Guyon, Marc Boullé, Gideon Dror, 2009 .

Design of a neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, John S. Denker, 1991, Pattern Recognit..

Proceedings of the 2014 International Conference on High-Energy Physics and Machine Learning - Volume 42

Isabelle Guyon, Balázs Kégl, David Rousseau, 2014 .

Data cleaning algorithms with applications to micro-array experiments

Jason Weston, Isabelle Guyon, Olivier Chapelle, 2001 .

Application and Comparison of SVM-RFE and GLL Methods for Variable Selection for Classification

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

A time delay neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, Yann LeCun, 1990 .

Deep Statistical Solvers

Isabelle Guyon, Marc Schoenauer, Antoine Marot, 2020, NeurIPS.

An Introduction to Feature Extraction

Isabelle Guyon, André Elisseeff, A. Elisseeff, 2006, Feature Extraction.

Gene Selection for Cancer Classification using Support Vector Machines

Jason Weston, Isabelle Guyon, Vladimir Vapnik, 2002, Machine Learning.

Benchmarking in cluster analysis: A white paper

I. Guyon, A. Boulesteix, N. Dean, 2018, 1809.10496.

An Introduction to Variable and Feature Selection

Isabelle Guyon, André Elisseeff, I. Guyon, 2003, J. Mach. Learn. Res..

Feature Extraction - Foundations and Applications

Masoud Nikravesh, Steve R. Gunn, Isabelle Guyon, 2006, Feature Extraction.

A training algorithm for optimal margin classifiers

Bernhard E. Boser, Vladimir N. Vapnik, Isabelle M. Guyon, 1992, COLT '92.

Multivariate Non-Linear Feature Selection with Kernel Methods

Isabelle Guyon, Hans-Marcus Bitter, Zulfikar Ahmed, 2005 .

Comparison of classifier methods: a case study in handwritten digit recognition

Isabelle Guyon, Harris Drucker, Yann LeCun, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

A Stability Based Method for Discovering Structure in Clustered Data

Isabelle Guyon, André Elisseeff, Asa Ben-Hur, 2001, Pacific Symposium on Biocomputing.

Results of the Cause-Effect Pair Challenge

Alexander Statnikov, Isabelle Guyon, A. Statnikov, 2019, Cause Effect Pairs in Machine Learning.

Signature Verification Using A "Siamese" Time Delay Neural Network

Yann LeCun, Isabelle Guyon, Eduard Säckinger, 1993, Int. J. Pattern Recognit. Artif. Intell..

Taking Human out of Learning Applications: A Survey on Automated Machine Learning pdf

Isabelle Guyon, Yang Yu, Qiang Yang, 2018, 1810.13306.

Results of the Active Learning Challenge

Isabelle Guyon, Gavin C. Cawley, Vincent Lemaire, 2011, Active Learning and Experimental Design @ AISTATS.

Detecting stable clusters using principal component analysis.

I. Guyon, A. Ben-Hur, I. Ramadass Subramanian, 2003, Methods in molecular biology.

The Tracking Machine Learning Challenge: Throughput Phase pdf

Isabelle Guyon, Steven Farrell, Marcel Kunze, 2021, Computing and Software for Big Science.

Privacy Preserving Synthetic Health Data

Isabelle Guyon, Kristin P. Bennett, Ritik Dutta, 2019, ESANN.

The Problem of Fairness in Synthetic Healthcare Data

John S. Erickson, Kristin P. Bennett, Karan Bhanot, 2021, Entropy.

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

Isabelle Guyon, Michael McCourt, Zhen Xu, 2021, NeurIPS.

A Gentle Introduction to Support Vector Machines in Biomedicine: Case Studies

Constantin F. Aliferis, Douglas P Hardin, Isabelle Guyon, 2011 .

Causality: Objectives and assessment

Isabelle Guyon, Dominik Janzing, Bernhard Schlkopf, 2008, NIPS 2008.

Handwritten digit recognition: applications of neural network chips and automatic learning

I. Guyon, Y. Le Cun, L.D. Jackel, 1989, IEEE Communications Magazine.