Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France. - Antoine Cornuéjols (Comput. Intell., 1988)

An Exploration Into Incremental Learning: the INFLUENCE System. - Antoine Cornuéjols (ML, 1989)

Getting Order Independence in Incremental Learning. - Antoine Cornuéjols (ECML, 1993)

Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents. - Sébastien Jouteau; Antoine Cornuéjols; Michèle Sebag; Philippe Tarroux; Jean-Sylvain Liénard (EGC, 2003)

Ensemble Feature Ranking. - Kees Jong; Jérémie Mary; Antoine Cornuéjols; Elena Marchiori; Michèle Sebag (PKDD, 2004)

Phase transitions in grammatical inference. - Nicolas Pernot; Antoine Cornuéjols; Michèle Sebag (CAP, 2005)

Phase Transitions within Grammatical Inference. - Nicolas Pernot; Antoine Cornuéjols; Michèle Sebag (IJCAI, 2005)

A Phase Transition-Based Perspective on Multiple Instance Kernels. - Romaric Gaudel; Michèle Sebag; Antoine Cornuéjols (ILP, 2007)

Research Challenges in Ubiquitous Knowledge Discovery. - Michael May 001; Bettina Berendt; Antoine Cornuéjols; João Gama 001; Fosca Giannotti; Andreas Hotho; Donato Malerba; Ernestina Menasalvas; Katharina Morik; Rasmus Ulslev Pedersen; Lorenza Saitta; Yücel Saygin; et al. (Next Generation of Data Mining, 2008)

Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets. - Christine Martin; Antoine Cornuéjols (BIBM, 2008)

A note on phase transitions and computational pitfalls of learning from sequences. - Antoine Cornuéjols; Michèle Sebag (J. Intell. Inf. Syst., 2008)

On-Line Learning: Where Are We So Far? - Antoine Cornuéjols (Ubiquitous Knowledge Discovery, 2010)

Resource Aware Distributed Knowledge Discovery. - João Gama 001; Antoine Cornuéjols (Ubiquitous Knowledge Discovery, 2010)

Unsupervised Object Ranking Using Not Even Weak Experts. - Antoine Cornuéjols; Christine Martin (ICONIP (1), 2011)

Predicting Concept Changes Using a Committee of Experts. - Ghazal Jaber; Antoine Cornuéjols; Philippe Tarroux (ICONIP (1), 2011)

Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif. - Christine Martin; Antoine Cornuéjols (EGC, 2012)

Online Learning: Searching for the Best Forgetting Strategy under Concept Drift. - Ghazal Jaber; Antoine Cornuéjols; Philippe Tarroux (ICONIP (2), 2013)

A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System. - Ghazal Jaber; Antoine Cornuéjols; Philippe Tarroux (ICONIP (2), 2013)

Supervised Pre-processings Are Useful for Supervised Clustering. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (ECDA, 2014)

Evaluation Protocol of Early Classifiers over Multiple Data Sets. - Asma Dachraoui; Alexis Bondu; Antoine Cornuéjols (ICONIP (2), 2014)

A Supervised Methodology to Measure the Variables Contribution to a Clustering. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (ICONIP (1), 2014)

A New Energy Model for the Hidden Markov Random Fields. - Jérémie Sublime; Antoine Cornuéjols; Younès Bennani (ICONIP (2), 2014)

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution. - Jérémie Sublime; Younès Bennani; Antoine Cornuéjols (EGC, 2015)

An initialization scheme for supervized K-means. - Vincent Lemaire 001; Oumaima Alaoui Ismaili; Antoine Cornuéjols (IJCNN, 2015)

Collaborative clustering with heterogeneous algorithms. - Jérémie Sublime; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (IJCNN, 2015)

Semantic rich ICM algorithm for VHR satellite images segmentation. - Jérémie Sublime; Andres Troya-Galvis; Younès Bennani; Antoine Cornuéjols; Pierre Gançarski (MVA, 2015)

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. - Alexis Bondu; Marc Boullé; Antoine Cornuéjols (AALTD@PKDD/ECML, 2015)

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. - Asma Dachraoui; Alexis Bondu; Antoine Cornuéjols (ECML/PKDD (1), 2015)

Vertical collaborative clustering using generative topographic maps. - Jérémie Sublime; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (SoCPaR, 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)

Une méthode supervisée pour initialiser les centres des K-moyennes. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (EGC, 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 (EGC, 2016)

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. - Jérémie Sublime; Antoine Cornuéjols; Younès Bennani (ICONIP (3), 2016)

Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. - Mathieu Bouyrie; Cristina E. Manfredotti; Nadine Peyriéras; Antoine Cornuéjols (ICPRAM, 2016)

Minimum Description Length Principle applied to structure adaptation for classification under concept drift. - Pierre-Alexandre Murena; Antoine Cornuéjols (IJCNN, 2016)

Un critère d'évaluation pour les K-moyennes prédictives. - Oumaima Alaoui Ismaili; Vincent Lemaire 001; Antoine Cornuéjols (EGC, 2017)

A Complexity Based Approach for Solving Hofstadter's Analogies. - Pierre-Alexandre Murena; Jean-Louis Dessalles; Antoine Cornuéjols (ICCBR (Workshops), 2017)

Data Collection and Analysis of Usages from Connected Objects: Some Lessons. - Sara Meftah; Antoine Cornuéjols; Juliette Dibie; Mariette Sicard (IEA/AIE (2), 2017)

Incremental learning with the minimum description length principle. - Pierre-Alexandre Murena; Antoine Cornuéjols; Jean-Louis Dessalles (IJCNN, 2017)

Investigating Substitutability of Food Items in Consumption Data. - Sema Akkoyunlu; Cristina E. Manfredotti; Antoine Cornuéjols; Nicolas Darcel; Fabien Delaere (HealthRecSys@RecSys, 2017)

Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education. - Antoine Cornuéjols; Andrée Tiberghien; Gérard Collet (CoRR, 2017)

Entropy based probabilistic collaborative clustering. - Jérémie Sublime; Basarab Matei; Guénaël Cabanes; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (Pattern Recognit., 2017)

Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain? - Antoine Cornuéjols (EGC, 2018)

Opening the Parallelogram: Considerations on Non-Euclidean Analogies. - Pierre-Alexandre Murena; Antoine Cornuéjols; Jean-Louis Dessalles (ICCBR, 2018)

An Information Theory based Approach to Multisource Clustering. - Pierre-Alexandre Murena; Jérémie Sublime; Basarab Matei; Antoine Cornuéjols (IJCAI, 2018)

Adaptive Window Strategy for Topic Modeling in Document Streams. - Pierre-Alexandre Murena; Marie Al-Ghossein; Talel Abdessalem; Antoine Cornuéjols (IJCNN, 2018)

Exploring Eating Behaviours Modelling for User Clustering. - Sema Akkoyunlu; Cristina E. Manfredotti; Antoine Cornuéjols; Nicolas Darcel; Fabien Delaere (HealthRecSys@RecSys, 2018)

Adaptive collaborative topic modeling for online recommendation. - Marie Al-Ghossein; Pierre-Alexandre Murena; Talel Abdessalem; Anthony Barré; Antoine Cornuéjols (RecSys, 2018)

Collaborative clustering: Why, when, what and how. - Antoine Cornuéjols; Cédric Wemmert; Pierre Gançarski; Younès Bennani (Inf. Fusion, 2018)

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 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; Christel Vrain (CoRR, 2019)

Statistical Computational Learning. - Antoine Cornuéjols; Frédéric Koriche; Richard Nock (A Guided Tour of Artificial Intelligence Research (1) (I), 2020)

Designing Algorithms for Machine Learning and Data Mining. - Antoine Cornuéjols; Christel Vrain (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

Transfer Learning by Learning Projections from Target to Source. - Antoine Cornuéjols; Pierre-Alexandre Murena; Raphaël Olivier (IDA, 2020)

Solving Analogies on Words based on Minimal Complexity Transformation. - Pierre-Alexandre Murena; Marie Al-Ghossein; Jean-Louis Dessalles; Antoine Cornuéjols (IJCAI, 2020)

Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Asma Dachraoui (CoRR, 2020)

Importance Reweighting for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (CoRR, 2020)

Predictive K-means with local models. - Vincent Lemaire 001; Oumaima Alaoui Ismaili; Antoine Cornuéjols; Dominique Gay (CoRR, 2020)

From Weakly Supervised Learning to Biquality Learning, a brief introduction. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (CoRR, 2020)

Early Classification of Time Series: Cost-based multiclass Algorithms. - Paul-Emile Zafar; Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (DSAA, 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 (ICAART (2), 2021)

Importance Reweighting for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (IJCNN, 2021)

From Weakly Supervised Learning to Biquality Learning: an Introduction. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (IJCNN, 2021)

Contrastive Representations for Label Noise Require Fine-Tuning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (IAL@PKDD/ECML, 2021)

Early Classification of Time Series is Meaningful. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2021)

Early classification of time series. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Asma Dachraoui (Mach. Learn., 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 (Rev. Ouverte Intell. Artif., 2021)

When to Classify Events in Open Times Series? - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (ACML, 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 (AAMAS, 2022)

Repondération Préférentielle pour l'Apprentissage Biqualité. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (EGC, 2022)

Early and Revocable Time Series Classification. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (IJCNN, 2022)

ECOTS: Early Classification in Open Time Series. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2022)

Open challenges for Machine Learning based Early Decision-Making research. - Alexis Bondu; Youssef Achenchabe; Albert Bifet; Fabrice Clérot; Antoine Cornuéjols; João Gama 001; Georges Hébrail; Vincent Lemaire 001; Pierre-Francois Marteau (SIGKDD Explor., 2022)

biquality-learn: a Python library for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (CoRR, 2023)

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (Mach. Learn., 2023)

Early Classification of Time Series: Taxonomy and Benchmark. - Aurélien Renault; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2024)

ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. - Aurélien Renault; Youssef Achenchabe; Edouard Bertrand; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001; Asma Dachraoui (CoRR, 2024)

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. - Ismaïl Baaj; Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Marie-Jeanne Lesot; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; et al. (Int. J. Approx. Reason., 2024)

Reprint of: Some thoughts about transfer learning. What role for the source domain? - Antoine Cornuéjols (Int. J. Approx. Reason., 2024)

Some thoughts about transfer learning. What role for the source domain? - Antoine Cornuéjols (Int. J. Approx. Reason., 2024)

Apprendre avec peu d'exemples : Une approche auto-supervisée basée sur les segments avec application à la télédétection. - Antoine Saget; Baptiste Lafabregue; Antoine Cornuéjols; Pierre Gançarski (EGC, 2025)

Estimating the Learning Capacity of Bacterial Metabolic Networks. - Bastien Mollet; Paul Ahavi; Antoine Cornuéjols; Jean-Loup Faulon; Evelyne Lutton; Alberto Tonda (IDA, 2025)

Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series. - Aurélien Renault; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2025)

Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. - Antoine Saget; Baptiste Lafabregue; Antoine Cornuéjols; Pierre Gançarski (CoRR, 2025)