Antoine Cornuéjols

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 50

Top Topics

Unsupervised Learning

Minimum Description Length Principle

Adaptive Window

Top Venues

Int. J. Approx. Reason.

Publications

Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series: Taxonomy and Benchmark. CoRR (2024)
Antoine Cornuéjols
Reprint of: Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. 171 (2024)
Antoine Cornuéjols
Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. 166 (2024)
Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171 (2024)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR (2023)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. Mach. Learn. 112 (12) (2023)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
biquality-learn: a Python library for Biquality Learning. CoRR (2023)
Jules Vandeputte, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere, Christine Martin
Coaching Agent: Making Recommendations for Behavior Change. A Case Study on Improving Eating Habits. AAMAS (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
ECOTS: Early Classification in Open Time Series. CoRR (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. 24 (2) (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early and Revocable Time Series Classification. IJCNN (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
Open challenges for Machine Learning based Early Decision-Making research. CoRR (2022)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Repondération Préférentielle pour l'Apprentissage Biqualité. EGC (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
When to Classify Events in Open Times Series? ACML (2022)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML (2021)
Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early and Revocable Time Series Classification. CoRR (2021)
Eliott Jacopin, Naomie Berda, Léa Courteille, William Grison, Lucas Mathieu, Antoine Cornuéjols, Christine Martin
Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization. ICAART (2) (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Contrastive Representations for Label Noise Require Fine-Tuning. CoRR (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
Early classification of time series. Mach. Learn. 110 (6) (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series is Meaningful. CoRR (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
Importance Reweighting for Biquality Learning. IJCNN (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN (2021)
Eliott Jacopin, Antoine Cornuéjols, Christine Martin, Farzaneh Kazemipour, Christophe Sausse
Détection automatique de plantes au sein d'images aériennes de champs par apprentissage non supervisé et approche multi-agents. ROIA 2 (1) (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR (2020)
Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols
Solving Analogies on Words based on Minimal Complexity Transformation. IJCAI (2020)
Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay
Predictive K-means with local models. CoRR (2020)
Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier
Transfer Learning by Learning Projections from Target to Source. IDA (2020)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Importance Reweighting for Biquality Learning. CoRR (2020)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR (2020)
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
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR (2019)
Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
Exploring Eating Behaviours Modelling for User Clustering. HealthRecSys@RecSys (2018)
Antoine Cornuéjols
Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain? EGC (2018)
Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols
Adaptive collaborative topic modeling for online recommendation. RecSys (2018)
Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles
Opening the Parallelogram: Considerations on Non-Euclidean Analogies. ICCBR (2018)
Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
An Information Theory based Approach to Multisource Clustering. IJCAI (2018)
Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani
Collaborative clustering: Why, when, what and how. Inf. Fusion 39 (2018)
Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols
Adaptive Window Strategy for Topic Modeling in Document Streams. IJCNN (2018)
Sara Meftah, Antoine Cornuéjols, Juliette Dibie, Mariette Sicard
Data Collection and Analysis of Usages from Connected Objects: Some Lessons. IEA/AIE (2) (2017)
Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
Investigating Substitutability of Food Items in Consumption Data. HealthRecSys@RecSys (2017)
Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
Entropy based probabilistic collaborative clustering. Pattern Recognit. 72 (2017)
Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
Un critère d'évaluation pour les K-moyennes prédictives. EGC (2017)
Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles
Incremental learning with the minimum description length principle. IJCNN (2017)
Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols
A Complexity Based Approach for Solving Hofstadter's Analogies. ICCBR (Workshops) (2017)
Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet
Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education. CoRR (2017)
Pierre-Alexandre Murena, Antoine Cornuéjols
Minimum Description Length Principle applied to structure adaptation for classification under concept drift. IJCNN (2016)
Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. ICONIP (3) (2016)
Louis-Victor Pasquier, Antoine Cornuéjols, Suzanne Pinson
Apprentissage du signal prix de l'électricité. Arbres de régression, séries temporelles et prédictions à long terme. EGC (2016)
Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
Une méthode supervisée pour initialiser les centres des K-moyennes. EGC (2016)
Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols
Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. ICPRAM (2016)
Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols
From horizontal to vertical collaborative clustering using generative topographic maps. Int. J. Hybrid Intell. Syst. 12 (4) (2015)
Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols
An initialization scheme for supervized K-means. IJCNN (2015)
Alexis Bondu, Marc Boullé, Antoine Cornuéjols
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Alexis Bondu, Marc Boullé, Antoine Cornuéjols
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (2015)
Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) (2015)
Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
Vertical collaborative clustering using generative topographic maps. SoCPaR (2015)
Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski
Semantic rich ICM algorithm for VHR satellite images segmentation. MVA (2015)
Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
Collaborative clustering with heterogeneous algorithms. IJCNN (2015)
Jérémie Sublime, Younès Bennani, Antoine Cornuéjols
Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution. EGC (2015)
Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) (2014)
Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
Supervised Pre-processings Are Useful for Supervised Clustering. ECDA (2014)
Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) (2014)
Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
A New Energy Model for the Hidden Markov Random Fields. ICONIP (2) (2014)
Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
Online Learning: Searching for the Best Forgetting Strategy under Concept Drift. ICONIP (2) (2013)
Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System. ICONIP (2) (2013)
Christine Martin, Antoine Cornuéjols
Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif. EGC (2012)
Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
Predicting Concept Changes Using a Committee of Experts. ICONIP (1) (2011)
Antoine Cornuéjols, Christine Martin
Unsupervised Object Ranking Using Not Even Weak Experts. ICONIP (1) (2011)
Christine Martin, Antoine Cornuéjols
Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets. BIBM (2008)
Antoine Cornuéjols, Michèle Sebag
A note on phase transitions and computational pitfalls of learning from sequences. J. Intell. Inf. Syst. 31 (2) (2008)
Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols
A Phase Transition-Based Perspective on Multiple Instance Kernels. ILP (2007)
Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
Phase transitions in grammatical inference. CAP (2005)
Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
Phase Transitions within Grammatical Inference. IJCAI (2005)
Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag
Ensemble Feature Ranking. PKDD (2004)
Sébastien Jouteau, Antoine Cornuéjols, Michèle Sebag, Philippe Tarroux, Jean-Sylvain Liénard
Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents. EGC (2003)
Antoine Cornuéjols
Getting Order Independence in Incremental Learning. ECML (1993)
Antoine Cornuéjols
An Exploration Into Incremental Learning: the INFLUENCE System. ML (1989)
Antoine Cornuéjols
Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France. Comput. Intell. 4 (1988)