Isabelle Guyon

According to our database1, Isabelle Guyon authored at least 133 papers between 1987 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Towards automated computer vision: analysis of the AutoCV challenges 2019.
Pattern Recognit. Lett., 2020

Guest Editorial: Image and Video Inpainting and Denoising.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Generation and evaluation of privacy preserving synthetic health data.
Neurocomputing, 2020

LEAP nets for system identification and application to power systems.
Neurocomputing, 2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.
CoRR, 2020

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data.
CoRR, 2020

Deep Statistical Solvers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Synthesizing Quality Open Data Assets from Private Health Research Studies.
Proceedings of the Business Information Systems Workshops, 2020

Medical Time-Series Data Generation Using Generative Adversarial Networks.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Biases in feature selection with missing data.
Neurocomputing, 2019

Learning to run a power network challenge for training topology controllers.
CoRR, 2019

Synthetic Event Time Series Health Data Generation.
CoRR, 2019

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition.
CoRR, 2019

Towards AutoML in the presence of Drift: first results.
CoRR, 2019

AutoML @ NeurIPS 2018 challenge: Design and Results.
CoRR, 2019

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Graph Neural Solver for Power Systems.
Proceedings of the International Joint Conference on Neural Networks, 2019

Privacy Preserving Synthetic Health Data.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

LEAP nets for power grid perturbations.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Assessing privacy and quality of synthetic health data.
Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019

Discriminant Learning Machines.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Analysis of the AutoML Challenge Series 2015-2018.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

Results of the Cause-Effect Pair Challenge.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Evaluation Methods of Cause-Effect Pairs.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Learning Bivariate Functional Causal Models.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2018
Multimodal First Impression Analysis with Deep Residual Networks.
IEEE Trans. Affect. Comput., 2018

Guest Editorial: Apparent Personality Analysis.
IEEE Trans. Affect. Comput., 2018

Guest Editorial: The Computational Face.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Design and Analysis of the NIPS 2016 Review Process.
J. Mach. Learn. Res., 2018

Looking at People Special Issue.
Int. J. Comput. Vis., 2018

Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)".
Expert Syst. J. Knowl. Eng., 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR, 2018

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis.
CoRR, 2018

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos.
CoRR, 2018

ActivMetal: Algorithm Recommendation with Active Meta Learning.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Optimization of computational budget for power system risk assessment.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Anticipating contingengies in power grids using fast neural net screening.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest.
Proceedings of the Pattern Recognition and Information Forensics, 2018

Analysis of imputation bias for feature selection with missing data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Systematics aware learning : a case study in high energy physics.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Fast Power system security analysis with Guided Dropout.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018


2017
Principal motion components for one-shot gesture recognition.
Pattern Anal. Appl., 2017

Editorial: special issue on computational intelligence for vision and robotics.
Neural Comput. Appl., 2017

Introducing machine learning for power system operation support.
CoRR, 2017

ChaLearn Looking at People: Events and Resources.
CoRR, 2017

ChaLearn looking at people: A review of events and resources.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Design of an explainable machine learning challenge for video interviews.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Challenges in Multi-modal Gesture Recognition.
Proceedings of the Gesture Recognition, 2017

Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey.
Proceedings of the Gesture Recognition, 2017

2016
Challenges in multimodal gesture recognition.
J. Mach. Learn. Res., 2016

ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

How machine learning won the Higgs boson challenge.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Design of the 2015 ChaLearn AutoML challenge.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition.
IEEE Trans. Image Process., 2014

The ChaLearn gesture dataset (CGD 2011).
Mach. Vis. Appl., 2014

The Higgs boson machine learning challenge.
Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Design of the first neuronal connectomics challenge: From imaging to connectivity.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

First Connectomics Challenge: From Imaging to Connectivity.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

ChaLearn Looking at People Challenge 2014: Dataset and Results.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Principal motion components for gesture recognition using a single-example.
CoRR, 2013

Multi-modal gesture recognition challenge 2013: dataset and results.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2012
Analysis of the IJCNN 2011 UTL challenge.
Neural Networks, 2012

ICML2011 Unsupervised and Transfer Learning Workshop.
Proceedings of the Unsupervised and Transfer Learning, 2012

Clustering: Science or Art?
Proceedings of the Unsupervised and Transfer Learning, 2012

Results and Analysis of the ChaLearn Gesture Challenge 2012.
Proceedings of the Advances in Depth Image Analysis and Applications, 2012

ChaLearn gesture challenge: Design and first results.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Time Series Analysis with the Causality Workbench.
Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011

Results of the Active Learning Challenge.
Proceedings of the Active Learning and Experimental Design workshop, 2011

Unsupervised and transfer learning challenge.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Demonstrations and live evaluation for the gesture recognition challenge.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010
Model Selection: Beyond the Bayesian/Frequentist Divide.
J. Mach. Learn. Res., 2010

Causality: Objectives and Assessment.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Design and analysis of the WCCI 2010 active learning challenge.
Proceedings of the International Joint Conference on Neural Networks, 2010

Development Projects for the CausalityWorkbench.
Proceedings of the Artificial Intelligence for Development, 2010

2009
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database.
SIGKDD Explor., 2009

Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

2008
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.
Neural Networks, 2008

Design and Analysis of the Causation and Prediction Challenge.
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

2007
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark.
Pattern Recognit. Lett., 2007

Practical Feature Selection: from Correlation to Causality.
Proceedings of the Mining Massive Data Sets for Security, 2007

Agnostic Learning vs. Prior Knowledge Challenge.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
PerformancePrediction Challenge.
Proceedings of the International Joint Conference on Neural Networks, 2006

Design and Analysis of the NIPS2003 Challenge.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

An Introduction to Feature Extraction.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

Assessment Methods.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2004
Result Analysis of the NIPS 2003 Feature Selection Challenge.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The WANDAML markup language for digital document annotation.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003
An Introduction to Variable and Feature Selection.
J. Mach. Learn. Res., 2003

WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002
Gene Selection for Cancer Classification using Support Vector Machines.
Mach. Learn., 2002

A Stability Based Method for Discovering Structure in Clustered Data.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

1998
What Size Test Set Gives Good Error Rate Estimates?.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Pattern classification - <i>By J. Schürmann</i>. Wiley-Interscience, ISBN: 0-471-13534-8.
Pattern Anal. Appl., 1998

1996
Discovering Informative Patterns and Data Cleaning.
Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

1995
On-line cursive script recognition using time-delay neural networks and hidden Markov models.
Mach. Vis. Appl., 1995

Design of a linguistic postprocessor using variable memory length Markov models.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

1994
Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation.
Pattern Recognit., 1994

Discovering Informative Patterns and Data Cleaning.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

UNIPEN project of on-line data exchange and recognizer benchmarks.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Comparison of classifier methods: a case study in handwritten digit recognition.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Signature Verification Using A "Siamese" Time Delay Neural Network.
Int. J. Pattern Recognit. Artif. Intell., 1993

Signature Verification Using a Siamese Time Delay Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Writer-adaptation for on-line handwritten character recognition.
Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

1992
Recognition-Based Segmentation of On-Line Hand-Printed Words.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Automatic Capacity Tuning of Very Large VC-Dimension Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Computer aided cleaning of large databases for character recognition.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Capacity control in linear classifiers for pattern recognition.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

A Training Algorithm for Optimal Margin Classifiers.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991
Design of a neural network character recognizer for a touch terminal.
Pattern Recognit., 1991

Applications of Neural Networks to Character Recognition.
Int. J. Pattern Recognit. Artif. Intell., 1991

Structural Risk Minimization for Character Recognition.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
Neural Network Implementation of Admission Control.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Hardware requirements for neural-net optical character recognition.
Proceedings of the IJCNN 1990, 1990

1989
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

1988
Neural Network Recognizer for Hand-Written Zip Code Digits.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988

An application of neural net chips: handwritten digit recognition.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1987
High Order Neural Networks for Efficient Associative Memory Design.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987


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