Antoine Cornuéjols

发表

An ontology of scientific uncertainty : methodological lessons from analyzing expressions of uncertainty in food risk assessment

Sandrine Blanchemanche, Akos Rona-Tas, Antoine Cornuéjols, 2013 .

Predictive K-means with local models pdf

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2020, Lecture Notes in Computer Science.

What is the place of Machine Learning between Pattern Recognition and Optimization

Antoine Cornuéjols, Laurent Miclet, L. Miclet, 2008 .

Collaborative clustering with heterogeneous algorithms

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Transfer Learning by Learning Projections from Target to Source

Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier, 2020, IDA.

A Phase Transition-based Perspective on Multiple Instance Kernels Relational Learning , Multiple Instance Problems , Relational Kernels

Michèle Sebag, Antoine Cornuéjols, Romaric Gaudel, 2007 .

Qu'est-ce qu'un bon système d'apprentissage ? La réponse a évolué avec le temps. Et demain?

Antoine Cornuéjols, 2018, EGC.

Apprentissage du signal prix de l'électricité. Arbres de régression, séries temporelles et prédictions à long terme

Antoine Cornuéjols, Suzanne Pinson, Louis-Victor Pasquier, 2016, EGC.

A note on phase transitions and computational pitfalls of learning from sequences

Michèle Sebag, Antoine Cornuéjols, M. Sebag, 2008, Journal of Intelligent Information Systems.

Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis

Sandrine Blanchemanche, Akos Rona-Tas, Antoine Cornuéjols, 2019 .

Solving Analogies on Words based on Minimal Complexity Transformation

Jean-Louis Dessalles, Antoine Cornuéjols, Marie Al-Ghossein, 2020, IJCAI.

Resource Aware Distributed Knowledge Discovery

João Gama, Antoine Cornuéjols, João Gama, 2010, Ubiquitous Knowledge Discovery.

Getting Order Independence in Incremental Learning

Antoine Cornuéjols, A. Cornuéjols, 1993, ECML.

Causal inference of the factors leading individuals to choose protein rich foods using directed acyclic graphical models

Antoine Cornuéjols, Irène Demongeot, Olga Davidenko, 2018, Appetite.

Collaborative clustering: Why, when, what and how

Pierre Gançarski, Younès Bennani, Antoine Cornuéjols, 2018, Inf. Fusion.

An initialization scheme for supervized K-means

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Minimum Description Length Principle applied to structure adaptation for classification under concept drift

Antoine Cornuéjols, Pierre-Alexandre Murena, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Using reliable and surprising item sets for the characterization of protein-protein interfaces

Antoine Cornuéjols, Christine Martin, 2009 .

Evaluation of predictive clustering quality

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2016 .

Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents

Michèle Sebag, Antoine Cornuéjols, Philippe Tarroux, 2003, EGC.

Early Classification of Individual Electricity Consumptions

Antoine Cornuéjols, Alexis Bondu, Asma Dachraoui, 2013 .

An Information Theory based Approach to Multisource Clustering

Antoine Cornuéjols, Basarab Matei, Jérémie Sublime, 2018, IJCAI.

Incremental learning with the minimum description length principle

Jean-Louis Dessalles, Antoine Cornuéjols, Pierre-Alexandre Murena, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Evaluation Protocol of Early Classifiers over Multiple Data Sets

Antoine Cornuéjols, Alexis Bondu, Asma Dachraoui, 2014, ICONIP.

Online Learning: Searching for the Best Forgetting Strategy under Concept Drift

Antoine Cornuéjols, Philippe Tarroux, Ghazal Jaber, 2013, ICONIP.

Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid

Nadine Peyriéras, Antoine Cornuéjols, Cristina E. Manfredotti, 2016, ICPRAM.

Machine Learning: The Necessity of Order (is order in order ?)

Antoine Cornuéjols, 2006 .

Phase Transitions in Machine Learning: Notation

Antoine Cornuéjols, Lorenza Saitta, Attilio Giordana, 2011 .

Apprentissage artificiel - Concepts et algorithmes

Antoine Cornuéjols, Laurent Miclet, L. Miclet, 2003 .

Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education pdf

Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet, 2017, ArXiv.

Designing Algorithms for Machine Learning and Data Mining

Antoine Cornuéjols, Christel Vrain, Christel Vrain, 2020, A Guided Tour of Artificial Intelligence Research.

Statistical Computational Learning

Richard Nock, Antoine Cornuéjols, Frédéric Koriche, 2020, A Guided Tour of Artificial Intelligence Research.

On-Line Learning: Where Are We So Far?

Antoine Cornuéjols, A. Cornuéjols, 2010, Ubiquitous Knowledge Discovery.

Data Collection and Analysis of Usages from Connected Objects: Some Lessons

Juliette Dibie, Antoine Cornuéjols, Mariette Sicard, 2017, IEA/AIE.

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization

Antoine Cornuéjols, Marc Boullé, Alexis Bondu, 2015, AALTD@PKDD/ECML.

Opening the Parallelogram: Considerations on Non-Euclidean Analogies

Jean-Louis Dessalles, Antoine Cornuéjols, Pierre-Alexandre Murena, 2018, ICCBR.

Phase transitions in grammatical inference

Michèle Sebag, Antoine Cornuéjols, Nicolas Pernot, 2005, Conférence francophone sur l'apprentissage automatique.

Machine learning research at the Laboratoire de Recherche en Informatique at Orsay, France

Antoine Cornuéjols, A. Cornuéjols, 1988, Comput. Intell..

Analogy and Induction : which (missing) link ?

Antoine Cornuéjols, Jacques Ales-Bianchetti, A. Cornuéjols, 1998 .

A Supervised Methodology to Measure the Variables Contribution to a Clustering

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2014, ICONIP.

Semantic rich ICM algorithm for VHR satellite images segmentation

Pierre Gançarski, Younès Bennani, Antoine Cornuéjols, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets

Antoine Cornuéjols, Christine Martin, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Searching the hypothesis space

Antoine Cornuéjols, Lorenza Saitta, Attilio Giordana, 2011 .

Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif

Antoine Cornuéjols, Christine Martin, 2012, EGC.

Co-Adaptation of Students' Knowledge Domains when Interpreting a Physical Situation in Terms of a New Theory

Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet, 1997 .

Exploring Eating Behaviours Modelling for User Clustering

Antoine Cornuéjols, Cristina E. Manfredotti, Nicolas Darcel, 2018, HealthRecSys@RecSys.

Research Challenges in Ubiquitous Knowledge Discovery

Koen Vanhoof, Katharina Morik, Donato Malerba, 2008, Next Generation of Data Mining.

Statistical filtering of motion field from image sequences

Antoine Cornuéjols, Jean-Pierre Cassou, 1987 .

Relevant features mining on protein-protein interfaces

Antoine Cornuéjols, Christine Martin, 2008 .

A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System

Antoine Cornuéjols, Philippe Tarroux, Ghazal Jaber, 2013, ICONIP.

Entropy based probabilistic collaborative clustering

Younès Bennani, Antoine Cornuéjols, Basarab Matei, 2017, Pattern Recognit..

Combining feature ranking methods for high dimensional data analysis

Antoine Cornuéjols, Romaric Gaudel, 2007 .

From horizontal to vertical collaborative clustering using generative topographic maps

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2016, Int. J. Hybrid Intell. Syst..

New Results - Fundamentals of Machine Learning, Knowledge Extraction and Data Mining

Olivier Teytaud, Antoine Cornuéjols, Michèle Sebag, 2004 .

Adaptive collaborative topic modeling for online recommendation

Talel Abdessalem, Antoine Cornuéjols, Marie Al-Ghossein, 2018, RecSys.

Ensemble Feature Ranking

Elena Marchiori, Michèle Sebag, Antoine Cornuéjols, 2004, PKDD.

Supervised Pre-processings Are Useful for Supervised Clustering

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2014, ECDA.

The Necessity of Order in Machine Learning: Is Order in Order?

Antoine Cornuéjols, 2007 .

Phase Transitions within Grammatical Inference

Michèle Sebag, Antoine Cornuéjols, Nicolas Pernot, 2005, IJCAI.

Un critère d'évaluation pour les K-moyennes prédictives

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2017, EGC.

Apprentissage artificiel. Deep learning, concepts et algorithmes

Antoine Cornuéjols, Laurent Miclet, Vincent Barra, 2018 .

Adaptive Window Strategy for Topic Modeling in Document Streams

Talel Abdessalem, Antoine Cornuéjols, Marie Al-Ghossein, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Investigating Substitutability of Food Items in Consumption Data

Antoine Cornuéjols, Cristina E. Manfredotti, Nicolas Darcel, 2017, HealthRecSys@RecSys.

Predicting Concept Changes Using a Committee of Experts

Antoine Cornuéjols, Philippe Tarroux, Ghazal Jaber, 2011, ICONIP.

A Complexity Based Approach for Solving Hofstadter's Analogies

Jean-Louis Dessalles, Antoine Cornuéjols, Pierre-Alexandre Murena, 2017, ICCBR.

Vertical collaborative clustering using generative topographic maps

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2016, ICONIP.

Machine Learning : A Survey

Antoine Cornuéjols, M. Moulet, A. Cornuéjols, 1997 .

Unsupervised Object Ranking Using Not Even Weak Experts

Antoine Cornuéjols, Christine Martin, A. Cornuéjols, 2011, ICONIP.

Anticipative and dynamic adaptation to concept changes

Antoine Cornuéjols, Philippe Tarroux, Ghazal Jaber, 2013 .

A New Mechanism for Transfer Between Conceptual Domains in Scientific Discovery and Education

Antoine Cornuéjols, Andrée Tiberghien, Gérard Collet, 1998 .

Une méthode supervisée pour initialiser les centres des K-moyennes

Antoine Cornuéjols, Vincent Lemaire, Oumaima Alaoui Ismaili, 2016, EGC.

Ensemble feuture ranking

Elena Marchiori, Antoine Cornuéjols, Michèle Sebag, 2004 .

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2015, EGC.

New Results - Stochastic Optimisation for ML and DM

Olivier Teytaud, Xiangliang Zhang, Antoine Cornuéjols, 2007 .

An Exploration Into Incremental Learning: the INFLUENCE System

Antoine Cornuéjols, A. Cornuéjols, 1989, ML.

A New Energy Model for the Hidden Markov Random Fields

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2014, ICONIP.

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem

Antoine Cornuéjols, Alexis Bondu, Asma Dachraoui, 2015, ECML/PKDD.

Cold chain break detection and analysis: Can machine learning help?

Antoine Cornuéjols, Onrawee Laguerre, Steven Duret, 2021 .

Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization

Antoine Cornuéjols, Christine Martin, Eliott Jacopin, 2021, ICAART.

Early Classification of Time Series: Cost-based multiclass Algorithms

Antoine Cornuéjols, Vincent Lemaire, Alexis Bondu, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Early classification of time series

Antoine Cornuéjols, Alexis Bondu, Youssef Achenchabe, 2021, Mach. Learn..

Ensem ble Feature R anking

Antoine Cornuéjols, Michele Sebag, M. Sebag, 2017 .

Comment optimiser A* adaptatif

Antoine Cornuéjols, Lou Fedon, A. Cornuéjols, 2008 .