Antoine Cornuéjols

Orcid: 0000-0002-2979-3521

Affiliations:
  • University of Paris-Sud, Laboratory for Computer Science (LRI), France


According to our database1, Antoine Cornuéjols authored at least 79 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Some thoughts about transfer learning. What role for the source domain?
Int. J. Approx. Reason., March, 2024

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

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group.
Int. J. Approx. Reason., 2024

ml_edm package: a Python toolkit for Machine Learning based Early Decision Making.
CoRR, 2024

Early Classification of Time Series: Taxonomy and Benchmark.
CoRR, 2024

2023
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts.
Mach. Learn., December, 2023

biquality-learn: a Python library for Biquality Learning.
CoRR, 2023

2022
Open challenges for Machine Learning based Early Decision-Making research.
SIGKDD Explor., 2022

ECOTS: Early Classification in Open Time Series.
CoRR, 2022

Early and Revocable Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Repondération Préférentielle pour l'Apprentissage Biqualité.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Coaching Agent: Making Recommendations for Behavior Change. A Case Study on Improving Eating Habits.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

When to Classify Events in Open Times Series?
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.
Rev. Ouverte Intell. Artif., 2021

Early classification of time series.
Mach. Learn., 2021

Early Classification of Time Series is Meaningful.
CoRR, 2021

Contrastive Representations for Label Noise Require Fine-Tuning.
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.
Proceedings of the International Joint Conference on Neural Networks, 2021

Importance Reweighting for Biquality Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Early Classification of Time Series: Cost-based multiclass Algorithms.
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.
CoRR, 2020

Predictive K-means with local models.
CoRR, 2020

Importance Reweighting for Biquality Learning.
CoRR, 2020

Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms.
CoRR, 2020

Solving Analogies on Words based on Minimal Complexity Transformation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transfer Learning by Learning Projections from Target to Source.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Designing Algorithms for Machine Learning and Data Mining.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms, 2020

Statistical Computational Learning.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020

2019
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).
CoRR, 2019

2018
Collaborative clustering: Why, when, what and how.
Inf. Fusion, 2018

Adaptive collaborative topic modeling for online recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Exploring Eating Behaviours Modelling for User Clustering.
Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

Adaptive Window Strategy for Topic Modeling in Document Streams.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Information Theory based Approach to Multisource Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Opening the Parallelogram: Considerations on Non-Euclidean Analogies.
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?
Proceedings of the Extraction et Gestion des Connaissances, 2018

2017
Entropy based probabilistic collaborative clustering.
Pattern Recognit., 2017

Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education.
CoRR, 2017

Investigating Substitutability of Food Items in Consumption Data.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Data Collection and Analysis of Usages from Connected Objects: Some Lessons.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

A Complexity Based Approach for Solving Hofstadter's Analogies.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Un critère d'évaluation pour les K-moyennes prédictives.
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.
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.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images.
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.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Une méthode supervisée pour initialiser les centres des K-moyennes.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015
From horizontal to vertical collaborative clustering using generative topographic maps.
Int. J. Hybrid Intell. Syst., 2015

Vertical collaborative clustering using generative topographic maps.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Semantic rich ICM algorithm for VHR satellite images segmentation.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Collaborative clustering with heterogeneous algorithms.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An initialization scheme for supervized K-means.
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.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
A New Energy Model for the Hidden Markov Random Fields.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Supervised Methodology to Measure the Variables Contribution to a Clustering.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Evaluation Protocol of Early Classifiers over Multiple Data Sets.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Supervised Pre-processings Are Useful for Supervised Clustering.
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.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Online Learning: Searching for the Best Forgetting Strategy under Concept Drift.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011
Predicting Concept Changes Using a Committee of Experts.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Unsupervised Object Ranking Using Not Even Weak Experts.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Resource Aware Distributed Knowledge Discovery.
Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

On-Line Learning: Where Are We So Far?
Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

2008
A note on phase transitions and computational pitfalls of learning from sequences.
J. Intell. Inf. Syst., 2008

Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008


2007
A Phase Transition-Based Perspective on Multiple Instance Kernels.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2005
Phase Transitions within Grammatical Inference.
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.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
Ensemble Feature Ranking.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003
Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

1993
Getting Order Independence in Incremental Learning.
Proceedings of the Machine Learning: ECML-93, 1993

1989
An Exploration Into Incremental Learning: the INFLUENCE System.
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.
Comput. Intell., 1988


  Loading...