Antoine Cornuéjols

92 papers A* 3A 2B 12C 3Misc 1Journal 31Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Early Classification of Time Series in Non-Stationary Cost Regimes. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2025	—	`conf`	Apprendre avec peu d'exemples : Une approche auto-supervisée basée sur les segments avec application à la télédétection. EGC Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025	J	`jnl`	Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2025	J	`jnl`	Early Classification of Time Series: A Survey and Benchmark. Trans. Mach. Learn. Res. Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2025	B	`conf`	Estimating the Learning Capacity of Bacterial Metabolic Networks. IDA Bastien Mollet, Paul Ahavi, Antoine Cornuéjols, Jean-Loup Faulon, Evelyne Lutton, Alberto Tonda
2025	—	`conf`	Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. TerraBytes Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025	J	`jnl`	Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing. CoRR Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2024	J	`jnl`	Early Classification of Time Series: Taxonomy and Benchmark. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2024	J	`jnl`	Reprint of: Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. Antoine Cornuéjols
2024	J	`jnl`	Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. Antoine Cornuéjols
2024	J	`jnl`	Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 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
2024	J	`jnl`	ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. CoRR Aurélien Renault, Youssef Achenchabe, Edouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui
2023	J	`jnl`	Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2023	J	`jnl`	Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. Mach. Learn. Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2023	J	`jnl`	biquality-learn: a Python library for Biquality Learning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2022	A	`conf`	Coaching Agent: Making Recommendations for Behavior Change. A Case Study on Improving Eating Habits. AAMAS Jules Vandeputte, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere, Christine Martin
2022	J	`jnl`	ECOTS: Early Classification in Open Time Series. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2022	B	`conf`	Early and Revocable Time Series Classification. IJCNN Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. CoRR Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
2022	—	`conf`	Repondération Préférentielle pour l'Apprentissage Biqualité. EGC Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2022	C	`conf`	When to Classify Events in Open Times Series? ACML Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	—	`conf`	Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2021	J	`jnl`	Contrastive Representations for Label Noise Require Fine-Tuning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2021	J	`jnl`	Détection automatique de plantes au sein d'images aériennes de champs par apprentissage non supervisé et approche multi-agents. Rev. Ouverte Intell. Artif. Eliott Jacopin, Antoine Cornuéjols, Christine Martin, Farzaneh Kazemipour, Christophe Sausse
2021	J	`jnl`	Early Classification of Time Series is Meaningful. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	B	`conf`	Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	J	`jnl`	Early and Revocable Time Series Classification. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	J	`jnl`	Early classification of time series. Mach. Learn. Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
2021	B	`conf`	From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2021	B	`conf`	Importance Reweighting for Biquality Learning. IJCNN Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2021	—	`conf`	Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization. ICAART (2) Eliott Jacopin, Naomie Berda, Léa Courteille, William Grison, Lucas Mathieu, Antoine Cornuéjols, Christine Martin
2020	—	`ch.`	Designing Algorithms for Machine Learning and Data Mining. A Guided Tour of Artificial Intelligence Research (2) (II) Antoine Cornuéjols, Christel Vrain
2020	J	`jnl`	Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
2020	—	`ed.`	Extraction et Gestion des Connaissances, EGC 2020, Brussels, Belgium, January 27-31, 2020. EGC Antoine Cornuéjols, Étienne Cuvelier
2020	J	`jnl`	From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2020	J	`jnl`	Importance Reweighting for Biquality Learning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2020	J	`jnl`	Predictive K-means with local models. CoRR Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay
2020	A*	`conf`	Solving Analogies on Words based on Minimal Complexity Transformation. IJCAI Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols
2020	—	`ch.`	Statistical Computational Learning. A Guided Tour of Artificial Intelligence Research (1) (I) Antoine Cornuéjols, Frédéric Koriche, Richard Nock
2020	B	`conf`	Transfer Learning by Learning Projections from Target to Source. IDA Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier
2019	J	`jnl`	From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR 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
2018	B	`conf`	Adaptive Window Strategy for Topic Modeling in Document Streams. IJCNN Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols
2018	A	`conf`	Adaptive collaborative topic modeling for online recommendation. RecSys Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols
2018	A*	`conf`	An Information Theory based Approach to Multisource Clustering. IJCAI Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
2018	J	`jnl`	Collaborative clustering: Why, when, what and how. Inf. Fusion Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani
2018	—	`conf`	Exploring Eating Behaviours Modelling for User Clustering. HealthRecSys@RecSys Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
2018	C	`conf`	Opening the Parallelogram: Considerations on Non-Euclidean Analogies. ICCBR Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles
2018	—	`conf`	Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain? EGC Antoine Cornuéjols
2017	—	`conf`	A Complexity Based Approach for Solving Hofstadter's Analogies. ICCBR (Workshops) Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols
2017	—	`conf`	Data Collection and Analysis of Usages from Connected Objects: Some Lessons. IEA/AIE (2) Sara Meftah, Antoine Cornuéjols, Juliette Dibie, Mariette Sicard
2017	J	`jnl`	Entropy based probabilistic collaborative clustering. Pattern Recognit. Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
2017	B	`conf`	Incremental learning with the minimum description length principle. IJCNN Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles
2017	—	`conf`	Investigating Substitutability of Food Items in Consumption Data. HealthRecSys@RecSys Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere
2017	J	`jnl`	Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education. CoRR Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet
2017	—	`conf`	Un critère d'évaluation pour les K-moyennes prédictives. EGC Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2016	—	`conf`	Apprentissage du signal prix de l'électricité. Arbres de régression, séries temporelles et prédictions à long terme. EGC Louis-Victor Pasquier, Antoine Cornuéjols, Suzanne Pinson
2016	—	`conf`	Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. ICONIP (3) Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
2016	C	`conf`	Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. ICPRAM Mathieu Bouyrie, Cristina E. Manfredotti, Nadine Peyriéras, Antoine Cornuéjols
2016	B	`conf`	Minimum Description Length Principle applied to structure adaptation for classification under concept drift. IJCNN Pierre-Alexandre Murena, Antoine Cornuéjols
2016	—	`conf`	Une méthode supervisée pour initialiser les centres des K-moyennes. EGC Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2015	B	`conf`	An initialization scheme for supervized K-means. IJCNN Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols
2015	B	`conf`	Collaborative clustering with heterogeneous algorithms. IJCNN Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
2015	—	`conf`	Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
2015	J	`jnl`	From horizontal to vertical collaborative clustering using generative topographic maps. Int. J. Hybrid Intell. Syst. Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols
2015	Misc	`conf`	Semantic rich ICM algorithm for VHR satellite images segmentation. MVA Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski
2015	—	`conf`	Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML Alexis Bondu, Marc Boullé, Antoine Cornuéjols
2015	—	`conf`	Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) Alexis Bondu, Marc Boullé, Antoine Cornuéjols
2015	—	`conf`	Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution. EGC Jérémie Sublime, Younès Bennani, Antoine Cornuéjols
2015	—	`conf`	Vertical collaborative clustering using generative topographic maps. SoCPaR Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols
2014	—	`conf`	A New Energy Model for the Hidden Markov Random Fields. ICONIP (2) Jérémie Sublime, Antoine Cornuéjols, Younès Bennani
2014	—	`conf`	A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2014	—	`conf`	Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
2014	—	`conf`	Supervised Pre-processings Are Useful for Supervised Clustering. ECDA Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2013	—	`conf`	A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System. ICONIP (2) Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
2013	—	`conf`	Online Learning: Searching for the Best Forgetting Strategy under Concept Drift. ICONIP (2) Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
2012	—	`conf`	Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif. EGC Christine Martin, Antoine Cornuéjols
2011	—	`conf`	Predicting Concept Changes Using a Committee of Experts. ICONIP (1) Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux
2011	—	`conf`	Unsupervised Object Ranking Using Not Even Weak Experts. ICONIP (1) Antoine Cornuéjols, Christine Martin
2010	—	`ch.`	On-Line Learning: Where Are We So Far? Ubiquitous Knowledge Discovery Antoine Cornuéjols
2010	—	`ch.`	Resource Aware Distributed Knowledge Discovery. Ubiquitous Knowledge Discovery João Gama, Antoine Cornuéjols
2008	J	`jnl`	A note on phase transitions and computational pitfalls of learning from sequences. J. Intell. Inf. Syst. Antoine Cornuéjols, Michèle Sebag
2008	—	`conf`	Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets. BIBM Christine Martin, Antoine Cornuéjols
2008	—	`ch.`	Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 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
2007	B	`conf`	A Phase Transition-Based Perspective on Multiple Instance Kernels. ILP Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols
2005	A*	`conf`	Phase Transitions within Grammatical Inference. IJCAI Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
2005	—	`conf`	Phase transitions in grammatical inference. CAP Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
2004	—	`conf`	Ensemble Feature Ranking. PKDD Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag
2003	—	`conf`	Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents. EGC Sébastien Jouteau, Antoine Cornuéjols, Michèle Sebag, Philippe Tarroux, Jean-Sylvain Liénard
1993	—	`conf`	Getting Order Independence in Incremental Learning. ECML Antoine Cornuéjols
1989	—	`conf`	An Exploration Into Incremental Learning: the INFLUENCE System. ML Antoine Cornuéjols
1988	J	`jnl`	Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France. Comput. Intell. Antoine Cornuéjols