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ORCIDAntoine Cornuéjols
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- affiliation: University of Paris-Sud, Laboratory for Computer Science (LRI), France
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2020 – today
- 2024
[j12]Antoine Cornuéjols
:
Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. 166: 109107 (2024)- [j11]Antoine Cornuéjols:
Reprint of: Some thoughts about transfer learning. What role for the source domain? Int. J. Approx. Reason. 171: 109146 (2024) - [j10]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: 109206 (2024) - [i15]Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Taxonomy and Benchmark. CoRR abs/2406.18332 (2024) - [i14]Aurélien Renault, Youssef Achenchabe, Edouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui:
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. CoRR abs/2408.12925 (2024) - 2023
- [j9]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): 4663-4692 (2023) - [i13]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
biquality-learn: a Python library for Biquality Learning. CoRR abs/2308.09643 (2023) - [i12]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR abs/2308.15132 (2023) - 2022
- [j8]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): 12-31 (2022) - [c52]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
When to Classify Events in Open Times Series? ACML 2022: 1-16 - [c51]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: 1292-1300 - [c50]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Repondération Préférentielle pour l'Apprentissage Biqualité. EGC 2022: 339-346 - [c49]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. IJCNN 2022: 1-8 - [i11]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
ECOTS: Early Classification in Open Time Series. CoRR abs/2204.00392 (2022) - [i10]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 abs/2204.13111 (2022) - 2021
- [j7]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early classification of time series. Mach. Learn. 110(6): 1481-1504 (2021) - [j6]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. Rev. Ouverte Intell. Artif. 2(1): 123-156 (2021) - [c48]Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA 2021: 1-10 - [c47]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: 688-697 - [c46]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
Importance Reweighting for Biquality Learning. IJCNN 2021: 1-8 - [c45]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN 2021: 1-10 - [c44]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML 2021: 89-104 - [i9]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series is Meaningful. CoRR abs/2104.13257 (2021) - [i8]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. CoRR abs/2108.09154 (2021) - [i7]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. CoRR abs/2109.10285 (2021) - 2020
- [c43]Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier:
Transfer Learning by Learning Projections from Target to Source. IDA 2020: 119-131 - [c42]Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols:
Solving Analogies on Words based on Minimal Complexity Transformation. IJCAI 2020: 1848-1854 - [p5]Antoine Cornuéjols, Christel Vrain:
Designing Algorithms for Machine Learning and Data Mining. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 339-410 - [p4]Antoine Cornuéjols, Frédéric Koriche, Richard Nock:
Statistical Computational Learning. A Guided Tour of Artificial Intelligence Research (1) (I) 2020: 341-388 - [e1]Antoine Cornuéjols, Étienne Cuvelier:
Extraction et Gestion des Connaissances, EGC 2020, Brussels, Belgium, January 27-31, 2020. RNTI E-36, Éditions RNTI 2020, ISBN 979-10-96289-12-7 [contents] - [i6]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR abs/2005.09945 (2020) - [i5]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Importance Reweighting for Biquality Learning. CoRR abs/2010.09621 (2020) - [i4]Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay:
Predictive K-means with local models. CoRR abs/2012.09630 (2020) - [i3]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR abs/2012.09632 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1912.06612 (2019) - 2018
- [j5]Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani:
Collaborative clustering: Why, when, what and how. Inf. Fusion 39: 81-95 (2018) - [c41]Antoine Cornuéjols:
Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain? EGC 2018: 1-2 - [c40]Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles:
Opening the Parallelogram: Considerations on Non-Euclidean Analogies. ICCBR 2018: 597-611 - [c39]Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols:
An Information Theory based Approach to Multisource Clustering. IJCAI 2018: 2581-2587 - [c38]Pierre-Alexandre Murena, Marie Al-Ghossein, Talel Abdessalem, Antoine Cornuéjols:
Adaptive Window Strategy for Topic Modeling in Document Streams. IJCNN 2018: 1-7 - [c37]Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere:
Exploring Eating Behaviours Modelling for User Clustering. HealthRecSys@RecSys 2018: 46-51 - [c36]Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols:
Adaptive collaborative topic modeling for online recommendation. RecSys 2018: 338-346 - 2017
- [j4]Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Entropy based probabilistic collaborative clustering. Pattern Recognit. 72: 144-157 (2017) - [c35]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Un critère d'évaluation pour les K-moyennes prédictives. EGC 2017: 297-302 - [c34]Pierre-Alexandre Murena, Jean-Louis Dessalles, Antoine Cornuéjols:
A Complexity Based Approach for Solving Hofstadter's Analogies. ICCBR (Workshops) 2017: 53-62 - [c33]Sara Meftah, Antoine Cornuéjols, Juliette Dibie, Mariette Sicard:
Data Collection and Analysis of Usages from Connected Objects: Some Lessons. IEA/AIE (2) 2017: 251-258 - [c32]Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles:
Incremental learning with the minimum description length principle. IJCNN 2017: 1908-1915 - [c31]Sema Akkoyunlu, Cristina E. Manfredotti, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere:
Investigating Substitutability of Food Items in Consumption Data. HealthRecSys@RecSys 2017: 27-31 - [i1]Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet:
Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education. CoRR abs/1707.04903 (2017) - 2016
- [c30]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Une méthode supervisée pour initialiser les centres des K-moyennes. EGC 2016: 147-152 - [c29]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: 543-544 - [c28]Jérémie Sublime, Antoine Cornuéjols, Younès Bennani:
Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. ICONIP (3) 2016: 148-155 - [c27]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: 291-298 - [c26]Pierre-Alexandre Murena, Antoine Cornuéjols:
Minimum Description Length Principle applied to structure adaptation for classification under concept drift. IJCNN 2016: 2842-2849 - 2015
- [j3]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): 245-256 (2015) - [c25]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: 191-196 - [c24]Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols:
An initialization scheme for supervized K-means. IJCNN 2015: 1-8 - [c23]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Collaborative clustering with heterogeneous algorithms. IJCNN 2015: 1-8 - [c22]Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski:
Semantic rich ICM algorithm for VHR satellite images segmentation. MVA 2015: 45-48 - [c21]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML 2015 - [c20]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 3-16 - [c19]Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols:
Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) 2015: 433-447 - [c18]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Vertical collaborative clustering using generative topographic maps. SoCPaR 2015: 199-204 - 2014
- [c17]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Supervised Pre-processings Are Useful for Supervised Clustering. ECDA 2014: 147-157 - [c16]Jérémie Sublime, Antoine Cornuéjols, Younès Bennani:
A New Energy Model for the Hidden Markov Random Fields. ICONIP (2) 2014: 60-67 - [c15]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) 2014: 159-166 - [c14]Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols:
Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) 2014: 548-555 - 2013
- [c13]Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux:
Online Learning: Searching for the Best Forgetting Strategy under Concept Drift. ICONIP (2) 2013: 400-408 - [c12]Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux:
A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System. ICONIP (2) 2013: 595-604 - 2012
- [c11]Christine Martin, Antoine Cornuéjols:
Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif. EGC 2012: 89-94 - 2011
- [c10]Ghazal Jaber, Antoine Cornuéjols, Philippe Tarroux:
Predicting Concept Changes Using a Committee of Experts. ICONIP (1) 2011: 580-588 - [c9]Antoine Cornuéjols, Christine Martin:
Unsupervised Object Ranking Using Not Even Weak Experts. ICONIP (1) 2011: 608-616 - 2010
- [p3]João Gama, Antoine Cornuéjols:
Resource Aware Distributed Knowledge Discovery. Ubiquitous Knowledge Discovery 2010: 40-60 - [p2]Antoine Cornuéjols:
On-Line Learning: Where Are We So Far? Ubiquitous Knowledge Discovery 2010: 129-147
2000 – 2009
- 2008
- [j2]Antoine Cornuéjols, Michèle Sebag:
A note on phase transitions and computational pitfalls of learning from sequences. J. Intell. Inf. Syst. 31(2): 177-189 (2008) - [c8]Christine Martin, Antoine Cornuéjols:
Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets. BIBM 2008: 78-83 - [p1]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:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 2008 - 2007
- [c7]Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols:
A Phase Transition-Based Perspective on Multiple Instance Kernels. ILP 2007: 112-121 - 2005
- [c6]Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag:
Phase transitions in grammatical inference. CAP 2005: 49-60 - [c5]Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag:
Phase Transitions within Grammatical Inference. IJCAI 2005: 811-816 - 2004
- [c4]Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag:
Ensemble Feature Ranking. PKDD 2004: 267-278 - 2003
- [c3]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: 521-532
1990 – 1999
- 1993
- [c2]Antoine Cornuéjols:
Getting Order Independence in Incremental Learning. ECML 1993: 196-212
1980 – 1989
- 1989
- [c1]Antoine Cornuéjols:
An Exploration Into Incremental Learning: the INFLUENCE System. ML 1989: 383-386 - 1988
- [j1]Antoine Cornuéjols:
Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France. Comput. Intell. 4: 212-221 (1988)
Coauthor Index
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