Antoine Cornuéjols

According to our database, Antoine Cornuéjols authored at least 73 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Some thoughts about transfer learning. What role for the source domain?

Antoine Cornuéjols

Int. J. Approx. Reason., March, 2024

2023

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Mach. Learn., December, 2023

biquality-learn: a Python library for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2023

2022

Open challenges for Machine Learning based Early Decision-Making research.

Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau

SIGKDD Explor., 2022

ECOTS: Early Classification in Open Time Series.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

CoRR, 2022

Early and Revocable Time Series Classification.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the International Joint Conference on Neural Networks, 2022

Repondération Préférentielle pour l'Apprentissage Biqualité.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Extraction et Gestion des Connaissances, 2022

Coaching Agent: Making Recommendations for Behavior Change. A Case Study on Improving Eating Habits.

Jules Vandeputte, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere, Christine Martin

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

When to Classify Events in Open Times Series?

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Détection automatique de plantes au sein d'images aériennes de champs par apprentissage non supervisé et approche multi-agents.

Eliott Jacopin, Antoine Cornuéjols, Christine Martin, Farzaneh Kazemipour, Christophe Sausse

ROIA, 2021

Early classification of time series.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui

Mach. Learn., 2021

Early Classification of Time Series is Meaningful.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

CoRR, 2021

Contrastive Representations for Label Noise Require Fine-Tuning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

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

From Weakly Supervised Learning to Biquality Learning: an Introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization.

Eliott Jacopin, Naomie Berda, Léa Courteille, William Grison, Lucas Mathieu, Antoine Cornuéjols, Christine Martin

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Early Classification of Time Series: Cost-based multiclass Algorithms.

Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

From Weakly Supervised Learning to Biquality Learning, a brief introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

CoRR, 2020

Predictive K-means with local models.

Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay

CoRR, 2020

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2020

Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui

CoRR, 2020

Solving Analogies on Words based on Minimal Complexity Transformation.

Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transfer Learning by Learning Projections from Target to Source.

Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).

Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain

CoRR, 2019

2018

Collaborative clustering: Why, when, what and how.

Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani

Inf. Fusion, 2018

Adaptive collaborative topic modeling for online recommendation.

Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Exploring Eating Behaviours Modelling for User Clustering.

Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere

Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

Adaptive Window Strategy for Topic Modeling in Document Streams.

Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols

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

An Information Theory based Approach to Multisource Clustering.

Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Opening the Parallelogram: Considerations on Non-Euclidean Analogies.

Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles

Proceedings of the Case-Based Reasoning Research and Development, 2018

Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain?

Antoine Cornuéjols

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

Entropy based probabilistic collaborative clustering.

Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Pattern Recognit., 2017

Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education.

Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet

CoRR, 2017

Investigating Substitutability of Food Items in Consumption Data.

Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017

Incremental learning with the minimum description length principle.

Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles

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

Data Collection and Analysis of Usages from Connected Objects: Some Lessons.

Sara Meftah, Antoine Cornuéjols, Juliette Dibie, Mariette Sicard

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

A Complexity Based Approach for Solving Hofstadter's Analogies.

Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols

Proceedings of ICCBR 2017 Workshops (CAW, 2017

Un critère d'évaluation pour les K-moyennes prédictives.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016

Minimum Description Length Principle applied to structure adaptation for classification under concept drift.

Pierre-Alexandre Murena, Antoine Cornuéjols

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid.

Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images.

Jérémie Sublime, Antoine Cornuéjols, Younès Bennani

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Apprentissage du signal prix de l'électricité. Arbres de régression, séries temporelles et prédictions à long terme.

Louis-Victor Pasquier, Antoine Cornuéjols, Suzanne Pinson

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Une méthode supervisée pour initialiser les centres des K-moyennes.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015

From horizontal to vertical collaborative clustering using generative topographic maps.

Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols

Int. J. Hybrid Intell. Syst., 2015

Vertical collaborative clustering using generative topographic maps.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem.

Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization.

Alexis Bondu, Marc Boullé, Antoine Cornuéjols

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Semantic rich ICM algorithm for VHR satellite images segmentation.

Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Collaborative clustering with heterogeneous algorithms.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

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

An initialization scheme for supervized K-means.

Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols

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

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution.

Jérémie Sublime, Younès Bennani, Antoine Cornuéjols

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014

A New Energy Model for the Hidden Markov Random Fields.

Jérémie Sublime, Antoine Cornuéjols, Younès Bennani

Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Supervised Methodology to Measure the Variables Contribution to a Clustering.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Evaluation Protocol of Early Classifiers over Multiple Data Sets.

Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Supervised Pre-processings Are Useful for Supervised Clustering.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the Analysis of Large and Complex Data, 2014

2013

A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System.

Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Online Learning: Searching for the Best Forgetting Strategy under Concept Drift.

Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif.

Christine Martin, Antoine Cornuéjols

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011

Predicting Concept Changes Using a Committee of Experts.

Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Unsupervised Object Ranking Using Not Even Weak Experts.

Antoine Cornuéjols, Christine Martin

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Resource Aware Distributed Knowledge Discovery.

João Gama, Antoine Cornuéjols

Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

On-Line Learning: Where Are We So Far?

Antoine Cornuéjols

Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

2008

A note on phase transitions and computational pitfalls of learning from sequences.

Antoine Cornuéjols, Michèle Sebag

J. Intell. Inf. Syst., 2008

Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets.

Christine Martin, Antoine Cornuéjols

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Research Challenges in Ubiquitous Knowledge Discovery.

Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof

Proceedings of the Next Generation of Data Mining., 2008

2007

A Phase Transition-Based Perspective on Multiple Instance Kernels.

Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2005

Phase Transitions within Grammatical Inference.

Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Phase transitions in grammatical inference.

Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag

Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004

Ensemble Feature Ranking.

Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003

Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents.

Sébastien Jouteau, Antoine Cornuéjols, Michèle Sebag, Philippe Tarroux, Jean-Sylvain Liénard

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

1993

Getting Order Independence in Incremental Learning.

Antoine Cornuéjols

Proceedings of the Machine Learning: ECML-93, 1993

1989

An Exploration Into Incremental Learning: the INFLUENCE System.

Antoine Cornuéjols

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France.

Antoine Cornuéjols

Comput. Intell., 1988