Isabelle Guyon

Zhengying Liu

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results.

[BibT_eX]

[DOI]

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2021

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

The Problem of Fairness in Synthetic Healthcare Data.

[BibT_eX]

[DOI]

Entropy, 2021

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone.

[BibT_eX]

[DOI]

CoRR, 2021

ChaLearn Looking at People: Inpainting and Denoising challenges.

[BibT_eX]

[DOI]

CoRR, 2021

DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge.

[BibT_eX]

[DOI]

Zhen Xu

Wei-Wei Tu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

MetaREVEAL: RL-based Meta-learning from Learning Curves.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning.

[BibT_eX]

[DOI]

Sebastian Weichwald

Søren Wengel Mogensen

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

OmniPrint: A Configurable Printed Character Synthesizer.

[BibT_eX]

[DOI]

Haozhe Sun

Wei-Wei Tu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Aircraft Numerical "Twin": A Time Series Regression Competition.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Understanding Social Behavior in Dyadic and Small Group Interactions: Preface.

[BibT_eX]

[DOI]

Cristina Palmero

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Didn't see that coming: a survey on non-verbal social human behavior forecasting.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Judging competitions and benchmarks: a candidate election approach.

[BibT_eX]

[DOI]

Adrien Pavao

Michael Vaccaro

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Quantifying Resemblance of Synthetic Medical Time-Series.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Asymptotic Analysis of Meta-learning as a Recommendation Problem.

[BibT_eX]

[DOI]

Zhengying Liu

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

Advances in MetaDL: AAAI 2021 Challenge and Workshop.

[BibT_eX]

[DOI]

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

Towards automated computer vision: analysis of the AutoCV challenges 2019.

[BibT_eX]

[DOI]

Gintare Karolina Dziugaite

Pattern Recognit. Lett., 2020

Guest Editorial: Image and Video Inpainting and Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Generation and evaluation of privacy preserving synthetic health data.

[BibT_eX]

[DOI]

Neurocomputing, 2020

LEAP nets for system identification and application to power systems.

[BibT_eX]

[DOI]

Neurocomputing, 2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learning to run a Power Network Challenge: a Retrospective Analysis.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.

[BibT_eX]

[DOI]

Natarajan Subramanyam

Carlos Lassance

Daniel M. Roy

Gintare Karolina Dziugaite

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Deep Statistical Solvers.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Business Information Systems Workshops, 2020

Medical Time-Series Data Generation Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Biases in feature selection with missing data.

[BibT_eX]

[DOI]

Borja Seijo-Pardo

Amparo Alonso-Betanzos

Kristin P. Bennett

Verónica Bolón-Canedo

Julie Josse

Mehreen Saeed

Neurocomputing, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Synthetic Event Time Series Health Data Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Towards AutoML in the presence of Drift: first results.

[BibT_eX]

[DOI]

CoRR, 2019

AutoML @ NeurIPS 2018 challenge: Design and Results.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Graph Neural Solver for Power Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Privacy Preserving Synthetic Health Data.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

LEAP nets for power grid perturbations.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Assessing privacy and quality of synthetic health data.

[BibT_eX]

[DOI]

Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019

Discriminant Learning Machines.

[BibT_eX]

[DOI]

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Analysis of the AutoML Challenge Series 2015-2018.

[BibT_eX]

[DOI]

Wei-Wei Tu

Evelyne Viegas

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

Results of the Cause-Effect Pair Challenge.

[BibT_eX]

[DOI]

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Evaluation Methods of Cause-Effect Pairs.

[BibT_eX]

[DOI]

Olivier Goudet

Diviyan Kalainathan

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Learning Bivariate Functional Causal Models.

[BibT_eX]

[DOI]

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2018

Multimodal First Impression Analysis with Deep Residual Networks.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2018

Guest Editorial: Apparent Personality Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2018

Guest Editorial: The Computational Face.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Design and Analysis of the NIPS 2016 Review Process.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Looking at People Special Issue.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)".

[BibT_eX]

[DOI]

José García Rodríguez

Expert Syst. J. Knowl. Eng., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Achmadnoer Sukma Wicaksana

Cynthia C. S. Liem

CoRR, 2018

ActivMetal: Algorithm Recommendation with Active Meta Learning.

[BibT_eX]

[DOI]

Lisheng Sun-Hosoya

Gabriela Ramírez-de-la-Rosa

Michèle Sebag

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Anticipating contingengies in power grids using fast neural net screening.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Information Forensics, 2018

Analysis of imputation bias for feature selection with missing data.

[BibT_eX]

[DOI]

Borja Seijo-Pardo

Amparo Alonso-Betanzos

Kristin P. Bennett

Verónica Bolón-Canedo

Julie Josse

Mehreen Saeed

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Systematics aware learning : a case study in high energy physics.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Fast Power system security analysis with Guided Dropout.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

TrackML: A High Energy Physics Particle Tracking Challenge.

[BibT_eX]

[DOI]

Vladimir Vava Gligorov

Mikhail Hushchyn

Andrey Ustyuzhanin

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Principal motion components for one-shot gesture recognition.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2017

Editorial: special issue on computational intelligence for vision and robotics.

[BibT_eX]

[DOI]

José García Rodríguez

Neural Comput. Appl., 2017

Introducing machine learning for power system operation support.

[BibT_eX]

[DOI]

CoRR, 2017

ChaLearn Looking at People: Events and Resources.

[BibT_eX]

[DOI]

CoRR, 2017

ChaLearn looking at people: A review of events and resources.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Design of an explainable machine learning challenge for video interviews.

[BibT_eX]

[DOI]

Hugo Jair Escalante

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.

[BibT_eX]

[DOI]

Jun Wan

Gholamreza Anbarjafari

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks.

[BibT_eX]

[DOI]

Meysam Madadi

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.

[BibT_eX]

[DOI]

Maryam Asadi-Aghbolaghi

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.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Challenges in Multi-modal Gesture Recognition.

[BibT_eX]

[DOI]

Vassilis Athitsos

Proceedings of the Gesture Recognition, 2017

Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey.

[BibT_eX]

[DOI]

Maryam Asadi-Aghbolaghi

Proceedings of the Gesture Recognition, 2017

2016

Challenges in multimodal gesture recognition.

[BibT_eX]

[DOI]

Vassilis Athitsos

J. Mach. Learn. Res., 2016

ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sébastien Treguer

Evelyne Viegas

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

How machine learning won the Higgs boson challenge.

[BibT_eX]

[DOI]

Claire Adam-Bourdarios

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Design of the 2015 ChaLearn AutoML challenge.

[BibT_eX]

[DOI]

Evelyne Viegas

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition.

[BibT_eX]

[DOI]

Xavier Baró

Jordi Gonzàlez

Junior Fabian

Miguel Ángel Bautista

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.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

The ChaLearn gesture dataset (CGD 2011).

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2014

The Higgs boson machine learning challenge.

[BibT_eX]

[DOI]

Claire Adam-Bourdarios

Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Design of the first neuronal connectomics challenge: From imaging to connectivity.

[BibT_eX]

[DOI]

Olav Stetter

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

First Connectomics Challenge: From Imaging to Connectivity.

[BibT_eX]

[DOI]

Olav Stetter

Jordi Soriano

Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

ChaLearn Looking at People Challenge 2014: Dataset and Results.

[BibT_eX]

[DOI]

Xavier Baró

Jordi Gonzàlez

Miguel Ángel Bautista

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Multi-modal gesture recognition challenge 2013: dataset and results.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary.

[BibT_eX]

[DOI]

Cristian Sminchisescu

Richard Bowden

Stan Sclaroff

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2012

Analysis of the IJCNN 2011 UTL challenge.

[BibT_eX]

[DOI]

Neural Networks, 2012

ICML2011 Unsupervised and Transfer Learning Workshop.

[BibT_eX]

[DOI]

Proceedings of the Unsupervised and Transfer Learning, 2012

Clustering: Science or Art?

[BibT_eX]

[DOI]

Ulrike von Luxburg

Robert C. Williamson

Proceedings of the Unsupervised and Transfer Learning, 2012

Results and Analysis of the ChaLearn Gesture Challenge 2012.

[BibT_eX]

[DOI]

Proceedings of the Advances in Depth Image Analysis and Applications, 2012

ChaLearn gesture challenge: Design and first results.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011

Time Series Analysis with the Causality Workbench.

[BibT_eX]

[DOI]

Constantin F. Aliferis

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

Results of the Active Learning Challenge.

[BibT_eX]

[DOI]

Proceedings of the Active Learning and Experimental Design workshop, 2011

Unsupervised and transfer learning challenge.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Demonstrations and live evaluation for the gesture recognition challenge.

[BibT_eX]

[DOI]

Vassilis Athitsos

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

Model Selection: Beyond the Bayesian/Frequentist Divide.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Causality: Objectives and Assessment.

[BibT_eX]

[DOI]

Dominik Janzing

Bernhard Schölkopf

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

Design and analysis of the WCCI 2010 active learning challenge.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Development Projects for the CausalityWorkbench.

[BibT_eX]

[DOI]

Jean-Philippe Pellet

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.

[BibT_eX]

[DOI]

SIGKDD Explor., 2009

Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database.

[BibT_eX]

[DOI]

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

2008

Dexter.

[BibT_eX]

[DOI]

Dataset, February, 2008

Gisette.

[BibT_eX]

[DOI]

Dataset, February, 2008

Dorothea.

[BibT_eX]

[DOI]

Dataset, February, 2008

Arcene.

[BibT_eX]

[DOI]

Dataset, February, 2008

Madelon.

[BibT_eX]

[DOI]

Dataset, February, 2008

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.

[BibT_eX]

[DOI]

Neural Networks, 2008

Design and Analysis of the Causation and Prediction Challenge.

[BibT_eX]

[DOI]

Constantin F. Aliferis

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.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2007

Practical Feature Selection: from Correlation to Causality.

[BibT_eX]

[DOI]

Proceedings of the Mining Massive Data Sets for Security, 2007

Agnostic Learning vs. Prior Knowledge Challenge.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

PerformancePrediction Challenge.

[BibT_eX]

[DOI]

Amir Reza Saffari Azar Alamdari

Gideon Dror

Joachim M. Buhmann

Proceedings of the International Joint Conference on Neural Networks, 2006

Design and Analysis of the NIPS2003 Challenge.

[BibT_eX]

[DOI]

Proceedings of the Feature Extraction - Foundations and Applications, 2006

An Introduction to Feature Extraction.

[BibT_eX]

[DOI]

André Elisseeff

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Assessment Methods.

[BibT_eX]

[DOI]

Gérard Dreyfus

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2004

Result Analysis of the NIPS 2003 Feature Selection Challenge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The WANDAML markup language for digital document annotation.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003

An Introduction to Variable and Feature Selection.

[BibT_eX]

[DOI]

André Elisseeff

J. Mach. Learn. Res., 2003

WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification.

[BibT_eX]

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002

Gene Selection for Cancer Classification using Support Vector Machines.

[BibT_eX]

[DOI]

Mach. Learn., 2002

A Stability Based Method for Discovering Structure in Clustered Data.

[BibT_eX]

[DOI]

Asa Ben-Hur

André Elisseeff

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

1998

What Size Test Set Gives Good Error Rate Estimates?.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

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

[BibT_eX]

[DOI]

Pattern Anal. Appl., 1998

1996

Discovering Informative Patterns and Data Cleaning.

[BibT_eX]

Nada Matic

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.

[BibT_eX]

[DOI]

Markus Schenkel

Donnie Henderson

Mach. Vis. Appl., 1995

Design of a linguistic postprocessor using variable memory length Markov models.

[BibT_eX]

[DOI]

Fernando Pereira

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.

[BibT_eX]

[DOI]

Pattern Recognit., 1994

Discovering Informative Patterns and Data Cleaning.

[BibT_eX]

Nada Matic

Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

UNIPEN project of on-line data exchange and recognizer benchmarks.

[BibT_eX]

[DOI]

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

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

[BibT_eX]

[DOI]

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993

Signature Verification Using A "Siamese" Time Delay Neural Network.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1993

Signature Verification Using a Siamese Time Delay Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Writer-adaptation for on-line handwritten character recognition.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

1992

Recognition-Based Segmentation of On-Line Hand-Printed Words.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bernhard E. Boser

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.

[BibT_eX]

[DOI]

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Capacity control in linear classifiers for pattern recognition.

[BibT_eX]

[DOI]

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

A Training Algorithm for Optimal Margin Classifiers.

[BibT_eX]

[DOI]

Bernhard E. Boser

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991

Design of a neural network character recognizer for a touch terminal.

[BibT_eX]

[DOI]

Pattern Recognit., 1991

Applications of Neural Networks to Character Recognition.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1991

Structural Risk Minimization for Character Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Neural Network Implementation of Admission Control.

[BibT_eX]

[DOI]

Rodolfo A. Milito