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Antoine Cornuéjols (AgroParisTech)

Antoine Cornuéjols / Papers


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The dynamics of learning

Redescription for learning
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Last update :   17-November-2021

 

Type of publication :    J : Journal  // BC : Book Chapter // Conf. : in Conference proceedings // W. : Workshop with no proceedings

 

Ouvrage de référence sur l'apprentissage artificiel
en français
:

 

Vincent BARRA - Antoine CORNUÉJOLS - Laurent MICLET

"Apprentissage Artificiel. Concepts et algorithmes. De Bayes et Hume au Deep learning"

Eyrolles. Mars 2021. 990 pages. 56 euros.

(Eyrolles) (Amazon)

 

THE Book on Phase Transitions in Machine Learning

 

Lorenza SAITTA, Attilio GIORDANA and Antoine CORNUÉJOLS

"Phase Transitions in Machine Learning"

Cambridge University Press, 2011. 380 pages. 68 euros. ISBN: 978-0521763912

(Amazon ; Cambridge University Press)

A review of the book by a physicist

 

Publications for 2021 :

Topic
Type
Publications
File

Weakly Supervised Learning

Int. Workshop
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols. “Contrastive Representations for Label Noise Require Fine-Tuning”. Workshop IAL-2021 (Interactive Adaptive Learning Workshop) in ECML-PKDD-2021.   Paper

Time series

Int. Conf.
Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire “Early Classification of Time Series: Cost-based multiclass AlgorithmsDSAA-2021 (8th IEEE International Conference on Data Science and Advanced Analytics), Porto, Portugal, 6-9 October, 2021.   Paper

Aerial images

J.
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”. Revue Ouverte d'Intelligence Artificielle (ROIA), Volume 2, Numéro 1, 2021, pp. 123-156.   Paper

Time series

J.
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui “Early Classification of Time Series. Cost-based Optimization Criterion and AlgorithmsMachine Learning journal, 110, pages 1481–1504 (2021).   Paper

Machine Learning

Chapter
Antoine Cornuéjols & Christel Vrain “Machine Learning” in Artificial Intelligence. What is it, exactly?, Sébastien Konieczny, Henri Prade (Eds.), 2021.   Information on the book
Time series
Position paper
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire. “Early Classification of Time Series is Meaningful”. arXiv:2104.13257

Recommendation
Conf.
Jules Vandeputte, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere, Christine Martin. “Le coaching : un nouveau cadre pour la recommandation automatique en vue de modifications durables du comportement”. Conf. Nationale d’Intelligence Artificielle (CNIA-2021), 28-30 Juin, 2021, Bordeaux (France).  
Weakly Supervised Learning
Int. Conf.
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols. “Importance Reweighting for Biquality Learning”. IJCNN-2021 (Int. Joint Conf. on Neural Networks)   Preprint
Weakly Supervised Learning
Int. Conf.
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou. “From Weakly Supervised Learning to Biquality Learning, a brief introduction”. IJCNN-2021 (Int. Joint Conf. on Neural Networks)   Preprint
AI and cold chains
Journal
Julie Loisel, Steven Duret, Antoine Cornuéjols, Dominique Cagnon, Margot Tardet, Evelyne Derens-Bertheau, Onrawee Laguerre. “Cold chain break detection and analysis: Can machine learning help?”. Trends in Food Science & Technology. Volume 112, June 2021, Pages 391-399.   Paper

Machine Learning

Book
V. Barra, Cornuéjols, A and Miclet L. : Apprentissage Artificiel. Concepts et algorithmes. De Bayes et Hume au Deep learning (4th Ed.with extensive revisions and additions) Eyrolles, 990 p. (Mars 2021).  
Aerial images
Int. Conf.
Eliott Jacopin, Naomi 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-2021 (February, 4-6, 2021). In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 688-697. DOI: 10.5220/0010228706880697

  Paper

  Poster

  Video-presentation

Publications for 2020 :

Topic
Type
Publications
File

Time series

Preprint
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui “Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms” arXiv:2005.09945.   Paper
Analogy reasoning
Int. Conf.
Pierre-Alexandre Murena, Marie Al Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols “Solving Analogies on Words based on Minimal Complexity Transformations”. IJCAI-PRICAI 2020, July 11-17, 2020, Yokohama, Japan.   Paper

General

J.
Antoine Cornuéjols “Alimentation durable et intelligence artificielle” in Revue IAA (Industries Agro-Alimentaires) Mai-Juin 2020, pp. 26-28.   Paper

General

J.
Antoine Cornuéjols “L'Intelligence Artificielle : quelles opportunités pour les industries agroalimentaires” in Revue IAA (Industries Agro-Alimentaires) Mai-Juin 2020, pp. 6-8.   Paper

Clustering

Conf.
Vincent Lemaire & Oumaima Alaoui & Antoine Cornuéjols & Dominique Gay “Predictive K-means with local models” in Int. Joint Conf. on Neural Networks, IJCNN-2020, Glasgow (UK), 19-24 July, 2020.   Paper

Clustering

Conf.
Vincent Lemaire & Oumaima Alaoui & Antoine Cornuéjols & Dominique Gay “Predictive K-means with local models” in Workshop LDRC-2020 (Workshop on Learning Data Representation for Clustering) in PAKDD-2020 (The 24th Pacific-Asia Conf. On Knowledge Discovery and Data Mining) Singapore, 11-16 May 2020.   Paper

Transfer Learning

Int. Conf.
Antoine Cornuéjols, Pierre-Alexandre Murena & Raphaël Olivier “Transfer Learning by Learning Projections from Target to Source”. Symposium on Intelligent Data Analysis (IDA-2020), April 27-29 2020, Bodenseeforum, Lake Constance, Germany. M. R. Berthold et al. (Eds.): IDA 2020, LNCS 12080, pp. 119–131, 2020   Paper

Machine Learning

Chapter
Antoine Cornuéjols & Christel Vrain “Designing Algorithms for Machine Learning and Data Mining” in A Guided Tour of Artificial Intelligence Research. Volume II: AI Algorithms, Marquis, Pierre, Papini, Odile, Prade, Henri (Eds.). Springer Verlag, 2020.   Paper

Machine Learning

Chapter
Antoine Cornuéjols, Frederic Koriche & Richard Nock “Statistical Computational Learning” in A Guided Tour of Artificial Intelligence Research. Volume I: Knowledge Representation, Reasoning and Learning, Marquis, Pierre, Papini, Odile, Prade, Henri (Eds.). Springer Verlag, 2020.   Paper

Machine Learning

Chapter
Antoine Cornuéjols & Christel Vrain “Apprendre” in L'intelligence artificielle. De quoi s'agit-il vraiment ?, Sébastien Konieczny, Prade, Henri (Eds.), 2020.   Info on the book

Machine Learning

Small paper
Antoine Cornuéjols “AgroParisTech, le monde digital, la planète et les sciences de l'environnement” in newsletter GrandAngle No.113 des écoles membres de la Conférence des Grandes Écoles sur le thème “2020 : l'urgence digitale ?”, 2020.   Paper

Publications for 2019 :

Topic
Type
Publications
File

Machine Learning

Position paper
Bouraoui, Z. & Cornuéjols, A. & Denoeux, T. & Destercke, S. & Dubois, D. & Guillaume, R. & Marques-Silva J. & Mangin, J. & Prade, H. & Schockaert, S & Serrurier, M. “From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)”. Arxiv-1912.06612v1- 13 Dec 2019 00:00:00 GMT.   Paper
Text mining
J.
S. Blanchemanche, A. Rona-Tas, A. Cornuéjols, A. Duroy and C. Martin “ Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis”, Sociological Methods and Research journal. 48 (3), 608-641 (2019) DOI: 10.1177/0049124117729701.   Draft of the paper

Publications for 2018 :

Topic
Type
Publications
File

Machine Learning

Book
Cornuéjols, A and Miclet L. and V. Barra: Apprentissage Artificiel. Deep learning, concepts et algorithmes (3rd Ed.with extensive revisions and additions) Eyrolles, 912 p. (May 2018). (Table des Matières) (index)  
Data harvesting
Nat. Conf.
Sema Akkoyunlu, Nicolas Darcel, Cristina Manfredotti, Antoine Cornuéjols, and Fabien Delaere “Utilisation d'un journal alimentaire numérique à champ libre : évaluation préliminaire de l'exploitabilité des données récoltées avec une approche semi-supervisée”, Journées Française de la Nutrition (JFN'18), November 28, 2018 - Nice (France).   Résumé
Clustering using latent variables
Int. Conf.
Sema Akkoyunlu, Cristina Manfredotti, Antoine Cornuéjols, Nicolas Darcel and Fabien Delaere “Exploring eating behaviours modelling for user clustering”, HealthRecSys’18 workshop co-located with ACM Recsys'18 (ACM Conference Series on Recommender Systems), October 2-7, 2018 - Vancouver (Canada).   Paper
Fraud detection
Int. Workshop.
P. Lejeail, V. Lemaire, A. Cornuéjols and Adam Ouorou “Triclustering based outlier-shape score for time series in a fraud detection platform”, AALTD'18, 3nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, September 14, 2018 - Dublin (Ireland).   Paper
Online recommendation
Int. Conf.
Marie Al Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré &  Antoine Cornuéjols “Adaptive Collaborative Topic Modeling for Online Recommendation“. RecSys'18, October 2–7, 2018, Vancouver, BC, Canada.   Paper
Learning causality
Conf.
Irène Demongeot, Antoine Cornuéjols, Nicolas Darcel “Identification of causal factors leading people to choose high protein food”, (JDSE 2018) Junior Conference on Data Science and Engineering. September 13-14, 2018 - Paris-Saclay (France).   Poster
Analogy
Int. Conf.
P-A. Murena, A. Cornuéjols and J-L. Dessalles “Opening the Parallelogram: Considerations on Non-Euclidean Analogies”, (ICCBR 2018) the 26th International Conference on Case-Based Reasoning July 9-12, 2018 - Stockholm (Sweeden). Published in ``Case-Based Reasoning Research and Development'', LNAI 11148 proceedings, Springer-Verlag (2018).   Paper
Online learning in non stationary environments
Int. Conf.
Marie Al Ghossein, Pierre-Alexandre Murena, Antoine Cornuéjols & Talel Abdessalem “Online Learning with Reoccurring Drifts: The Perspective of Case-Based Reasoning“. ICCBR 2018 Workshop on Synergies between CBR and Machine Learning, 10 July, 2018, Stockholm (Sweeden).   Paper
Change detection / on-line learning
Int. Conf.
Pierre-Alexandre Murena, Marie Al Ghossein, Talel Abdessalem & Antoine Cornuéjols “Sliding Window Strategy for Topic Modeling in Document Streams”, Int. Joint Conf. on Neural Networks (IJCNN-2018) July 8-13, 2018 - Rio (Brazil).   Paper
Collaborative clustering
Int. Conf.
P-A. Murena, J. Sublime, B. Matei, and A. Cornuéjols “An Information Theory based Approach to Multisource Clustering“. Int. Joint Conf. on Artificial Intelligence (IJCAI-ECAI-2018), 13-19 July, 2018, Stockholm (Sweeden).   Paper
Learning causality
Int. Conf.
Irène Demongeot, Olga Davindenko, Nicolas Darcel, Antoine Cornuéjols “Identification of causal inference of the factors leading individuals to choose protein rich foods using directed acyclic graphical models”, American Society for Nutrition (Nutrition-2018) June 9-12, 2018 - Boston (USA).   Abstract
Learning causality
Int. Conf.
Irène Demongeot, Nicolas Darcel, Antoine Cornuéjols “Causal inference of the factors leading individuals to choose protein rich foods using directed acyclic graphical models”, British Feeding and Drinking Group (BFDG-2018) - Scientific conference on eating & drinking, April 11-13, 2018 - Lyon (France).   Abstract
Collaborative methods
J.
A. Cornuéjols, Y. Bennani, P. Gançarski and C. Wemmert “Collaborative Clustering: Why, When, What and How”, Information Fusion (An International Journal on Multi-Sensor, Multi-Source Information Fusion), vol. 39, pp. 81-95, January 2018.

 

 

Publications for 2017 :

Topic
Type
Publications
File
Graph mining
Nat. Conf.
Sema Akkoyunlu, Antoine Cornuéjols, Fabien Dalaere, Nicolas Darcel, Nicolas Gaussèrres, Cristina Manfredotti and Daniel Tomé “Extraction de substitutions entre aliments à l'aide de méthodes d'apprentissage non supervisé”, Journées Francophones de Nutrition, December 13-15, 2017 - Nantes (France).   Abstract
Collaborative clustering
J.
J. Sublime, N. Matei, G. Cabanes, N. Grozavu, Y. Bennani, and A. Cornuéjols “Entropy Based Probabilistic Collaborative Clustering“. Pattern Recognition, Volume 72, December 2017, Pages 144-157.   Proof of the paper
Collaborative Clustering
Nat. Conf.
Pierre Gançarski, Antoine Cornuéjols, Cédric Wemmert and Younès Bennani “Clustering collaboratif : Principes et mise en oeuvre”, BDA (Gestion de Données - Principes, Technologies et Applications), November 14-17, 2017 - Nancy (France).  
Cognitive science
Arxiv
A. Cornuéjols, A. Tiberghien, G. Collet “Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education. Arxiv-1707.04903- Tue, 18 Jul 2017 00:00:00 GMT..  
Recommendation
Int. Conf.
Sema Akkoyunlu, Cristina Manfredotti, Antoine Cornuéjols, Nicolas Darcel and Fabien Delaere “Investigating substitutability of food items in consumption data”, Workshop on Health Recommender Systems (healthRecSys17 : The ACM Conference Series on Recommender Systems), August 27-31, 2017 - Como (Italy).  
Collaborative clustering
Nat. Conf.
P-A. Murena, J. Sublime, B. Matei, and A. Cornuéjols “Collaborative clustering based on algorithmic information theory“. Conférence sur l'apprentissage automatique (CAp'17), Grenoble, France, 28-30 juin 2017.  
Analogy
Int. Conf.
P-A. Murena, J-L. Dessalles and A. Cornuéjols “A complexity based approach for solving Hofstadter's analogies”, CAW@ICCBR-2017 (Computational Analogy Workshop at the 28th Int. Conf. on Case-Based Reasoning), June 26-28, 2017 - Trondheim (Norway).  
Data collection with IoT
BC
S. Meftah, A. Cornuéjols, J. Dibie and M. Sicard “ Data collection and analysis of usages from connected objects: some lessons”, LNAI 10351, pp. 251-258, 2017. Advances in Artificial Intelligence: From Theory to Practice. Salem Benferhat, Karim Tabia, Moonis Ali (Eds.). Springer, 2017. (Same as below)  
Data collection with IoT
Int. Conf.
S. Meftah, A. Cornuéjols, J. Dibie and M. Sicard “ Data collection and analysis of usages from connected objects: some lessons”, IEA/AIE 2017 (The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems), June 27-30, 2017 - Arras (France).  
Incremental learning
Int. Conf.
P-A. Murena, A. Cornuéjols and J-L. Dessales, “Incremental Learning with the Minimum Description Length Principle”, IJCNN-2017 (Int. Joint Conf. on Neural Networks), 2017, May 14-17, 2017. Anchorage, Alaska, USA.

 

 

Clustering
Conf.
Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols, “ Un critère d'évaluation pour les K-moyennes prédictives ”, EGC-2017, Grenoble, 23-27 jan. 2017  

Publications for 2016 :

Topic
Type
Publications
File
Collaborative clustering
Int. Conf.
J. Sublime, Y. Bennani, and A. Cornuéjols “Collaborative-based multi-scale clustering in very high resolution satellite Images”, ICONIP-2016 (The 23rd International Conference on Neural Information Processing), Kyoto, Japan, Oct. 16-21, 2016.  
Collaborative ranking
J.
A. Cornuéjols and C. Martin, “Une méthode d’ensemble en apprentissage non supervisé quand on ne connaît rien sur la performance des experts”, Revue des Nouvelles Technologies de l'Information (RNTI), 2016, vol. RNTI-A-8, pp. 33-50.

 

 

Collaborative clustering
J.
J. Sublime, N. Grozavu, G. Cabanes, Y. Bennani, and A. Cornuéjols, “From Horizontal to Vertical Collaborative Clustering using Generative Topographic Maps”, International Journal of Hybrid Intelligent Systems, Volume 12-4, 2016.  
Time series
Int. Conf.
Asma Dachraoui, Alexis Bondu and Antoine Cornuéjols “A Novel Algorithm for Online Classification of Time Series when Delaying Decision is Costly”, in Proc. of CAP-2016 (Conférence francophone sur l'Apprentissage Automatique), Marseilles, France, July 4-7, 2016.  
Predictive clustering
Workshop
O. Allaoui, V. Lemaire and A. Cornuéjols “Evaluation of predictive clustering quality”, in MBC2 (Workshop on Model-Based Clustering and Classification), Catania, Italy, September 5-7, 2016.  
Analogy / Transfer learning
Int. Conf.
Pierre-Alexandre Murena and Antoine Cornuéjols “Minimum Description Length Principle applied to Structure Adaptation for Classification under Concept Drift”, in Proc. of IJCNN-2016 (Int. Joint Conf. on Neural Networks), Vancouver, Canada, July 25-29, 2016.  
Collaborative clustering
Int. Conf.
J. Sublime, N. Grozavu, G. Cabanes, Y. Bennani and A. Cornuéjols “Collaborative learning using topographic maps”, in Proc. of AAFD-SFC-2016 (Conférence Internationale Francophone "Science des données. Défis Mathématiques et algorithmiques"), Marrakech, Maroc, May 22-26, 2016.  
Denoising images
Int. Conf.
M. Bouyrie, Antoine Cornuéjols, C. Manfredotti and N. Peyriéras “ Denoising 3D microscopy images of cell nuclei using shape priors on an anisotropic grid”, in Proc. of ICPRAM-2016 (Int. Conf. on Pattern Recognition Applications and Methods), Rome, Italy, February 24-26, 2016.  
Time series Conf. L-V. Pasquier, A. Cornuéjols, C. Manfredotti, and S. Pinson “ Apprentissage du signal prix de l'électricité. Arbres de régression, séries temporelles et prédictions à long terme”, in Conférence EGC (Extraction et Gestion des Connaissances), Reims, France, Janvier 18-22, 2016. Revue des Nouvelles Technologies de l'Information, vol. RNTI-E-30, pp. 543-544.  
Time series Conf. L-V. Pasquier, A. Cornuéjols, C. Manfredotti, and S. Pinson “ Apprentissage du signal prix de l'électricité : prédictions à long terme”, in Atelier "Fouille de Données Complexes" (FDC) in Conférence EGC (Extraction et Gestion des Connaissances), Reims, France, Janvier 19, 2016.  
Clustering with supervised constraints Conf. Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols. “Une méthode supervisée pour initialiser les centres des K-moyennes”, in Conférence EGC (Extraction et Gestion des Connaissances), Reims, France, Janvier 18-22, 2016. Revue des Nouvelles Technologies de l'Information, vol. RNTI-E-30, pp. 147-152.  
Clustering Chapter Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols. “Supervised pre-processings are useful for supervised clustering”, in Springer Series “ Analysis of Large and Complex Data. A. Wilhelm and H. Kestler (Eds.), 2016, pp. 147-157.  

Publications for 2015 :

Topic
Type
Publications
File
Clustering with supervised constraints Workshop Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols. “Mesure de qualité de la classification à base des K-moyennes”, in Journée Clustering, Issy-les-Moulineaux, France, October 20, 2015.  
Collaborative clustering Conf. J. Sublime, N. Grozavu, Y. Bennani and A. Cornuéjols, “ Vertical Collaborative Clustering using Generative Topographic Maps”, in Proc. of the SoCPaR 2015 (The 7th International Conference of Soft Computing and Pattern Recognition), Fukuoka, Japan, November 13-15, 2015.  
Big data
J.
Antoine Cornuéjols. “Big data : les données comme matière première ?”, in Symbiose, No.12, September 2015.  
Time Series Conf. Alexis Bondu, Marc Boullé and Antoine Cornuéjols. “Symbolic Representation of Time Series: a Hierarchical Coclustering Formalization”, in Proc. of the Workshop "Advanced Analytics and Learning on Temporal Data ", ECML-PKDD-2015, Porto, Portugal, September 11, 2015. (DOI:10.1007/978-3-319-44412-3_1)  
On-line decision making Conf. Asma Dachraoui, Alexis Bondu and Antoine Cornuéjols. “Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem”, in Proc. of ECML-PKDD-2015, Porto, Portugal, Sept. 7-11, 2015.
  • Slides
  • bibtex
  • Clustering with supervised constraints Conf. Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols. “Classification à base de clustering ou décrire et prédire simultanément”, in Proc. of the RJCIA 2015, Rennes, France, June 29, 2015.  
    Clustering with supervised constraints Conf. Vincent Lemaire, Oumaima Alaoui Ismaili and Antoine Cornuéjols. “An Initialization Scheme for Supervized K-means”, in Proc. of the IJCNN 2015, Killarney, Ireland, July 12-17, 2015.  
    Collaborative clustering Conf. J. Sublime, N. Grozavu, Y. Bennani and A. Cornuéjols, “Collaborative Clustering with Heterogeneous Algorithms”, in Proc. of the IJCNN 2015, Killarney, Ireland, July 12-17, 2015.  
    Image interpretation Conf. J. Sublime, A. Troya-Galvis, Y. Bennani, A. Cornuéjols and P. Gançarski “Semantic Rich ICM Algorithm for VHR Satellite Images Segmentation”, in Proc. of  The 14th IAPR Conference on Machine Vision Applications (MVA 2015)  
    Image interpretation
    J.
    J. Sublime, Y. Bennani and A. Cornuéjols, “Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution”, in EGC 2015. Revue des Nouvelles Technologies de l'Information, vol. RNTI-E-28, pp. 191-196. Rédacteurs invités : Jérome Darmont, Benoît Otjacques, Thomas Tamisier.  
    Clustering Conf. Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols. “Initialisation des k-moyennes à l’aide d’une décomposition supervisée des classes”, in SFC-2015 (Congrès de la Société Française de Classification), Nantes, France, 9-11 Septembre, 2015.  

    Publications for 2014 :

    Topic
    Type
    Publications
    File
    Collaborative ranking Conf. A. Cornuéjols, and Ch. Martin "Unsupervised one class identification by selecting and combining ranking functions" in Proc. of CAP-2014 (Conférence francophone sur l'Apprentissage Automatique), Saint-Etienne, France, July 8-10, 2014.  
    Clustering Conf. V. Lemaire, O. Allaoui and A. Cornuéjols, “Supervised pretreatments are useful for supervised clustering”, in Proc. of the Second Conf. on Data Analysis (ECDA-2014), Bremen, Germany, July 2-4, 2014.  
    Early time series classification Conf. Asma Dachraoui, Alexis Bondu and Antoine Cornuéjols, « Evaluation Protocol of Early Classifiers Over Multiple Data Sets », in Proc. ICONIP-2014 (21th International Conference on Neural Information Processing), Kuching, Malaysia, 2014.  
    Clustering Conf. Oumaima Alaoui Ismaili, Vincent Lemaire and Antoine Cornuéjols, « A supervised methodology to measure the variables contribution to a clustering », in Proc. ICONIP-2014 (21th International Conference on Neural Information Processing), Kuching, Malaysia, 2014.  
    Image interpretation Conf. J. Sublime, Y. Bennani and A. Cornuéjols, “A new energy model for the Hidden Markov Random Fields”, in Proc. ICONIP-2014 (21th International Conference on Neural Information Processing), Kuching, Malaysia, 2014.  
    Image interpretation Conf. J. Sublime, Y. Bennani and A. Cornuéjols, "Un nouveau modèle d’énergie pour les champs aléatoires de Markov cachés" in Proc. SFC-2014 (21ème rencontres de la Société Francophone de Classification), Rabat, Maroc, Septembre 2014.  
    Image interpretation Conf. J. Sublime, Y. Bennani and A. Cornuéjols, “Clustering collaboratif incrémental” (poster), in Proc. CAP-2014 (Conférence Francophone d'Apprentissage), Saint-Etienne, France, juillet 2014.  
    Text Mining Conf. A. Cornuéjols, A. Duroy, Ch. Loyce, D. Makowski, Ch. Martin and A. Philibert, “Recherche de documents par apprentissage artificial pour une méta-analyse sur les emissions d’un gaz à effet de serre”, Atelier AnaEnv (ANAlyse de données ENVironnementales : approches mises en oeuvre et retours d’expériences) dans la conference RFIA-2014, Rouen, juillet 2014.  
    Machine Learning
    Chapter
    Frederic Koriche, A. Cornuéjols, L. Miclet et R. Nock, « Paradigmes de l’Apprentissage Artificiel », in Panorama actuel de l'Intelligence Artificielle. Ses bases méthodologiques et développements, Marquis, P. Papini, O., Prade H. (Eds). (2014)  
    Machine Learning
    Chapter
    Cornuéjols A., Vrain, Ch., Zucker J-D. : "Algorithmiques de l'apprentissage artificiel et de la fouille de données" (draft), in Panorama actuel de l'Intelligence Artificielle. Ses bases méthodologiques et développements, Marquis, P. Papini, O., Prade H. (Eds) (2014).  
    Collaborative clustering
    Conf.
    A. Cornuéjols and C. Martin, "Une méthode d’ensemble en apprentissage non supervisé quand on ne connaît rien sur la performance des experts ?", in Proc. AAFD-2014 (Journées Apprentissage Artificiel et Fouille de Données), Université Paris 13, France, 2014.

     

     Transparents

    Publications for 2013 :

    Topic
    Type
    Publications
    File
    On-line Learning Conf. G. Jaber, A. Cornuéjols, and P. Tarroux, "A new on-line learning method for coping with recurring concepts: the ADACC system" in Proc. ICONIP-2013 (20th International Conference on Neural Information Processing), Daeghu, Korea, 2013  
    On-line Learning Conf. G. Jaber, A. Cornuéjols, and P. Tarroux, "Online Learning: Searching for the best Forgetting Strategy under Concept Drift" in Proc. ICONIP-2013 (20th International Conference on Neural Information Processing), Daeghu, Korea, 2013  
    On-line Learning Conf. G. Jaber, A. Cornuéjols, and P. Tarroux, "Anticipative and Dynamic Adaptation to Concept Changes," in Proc. ECML-PKDD-2013 (Workshop ``Real-World Challenges for Data Stream Mining''), Prague, Czech Republic, 2013.  
    On-line Learning Conf. A. Dachraoui, A. Bondu, and A. Cornuéjols, "Early Classification of Individual Electricity Consumptions" in Proc. ECML-PKDD-2013 (Workshop ``Real-World Challenges for Data Stream Mining''), Prague, Czech Republic, 2013  
    On-line Learning Conf. Jaber G., Cornuéjols A., Tarroux, Ph.: "Anticipative and Dynamic Adaptation to Concept Changes", in Proc. of Conférence Francophone sur l'Apprentissage Automatique (CAP-2013), Lille, Juillet 3-5, 2013.  
    Text Mining Conf. Sandrine Blanchemanche, Akos Rona-Tas, Antoine Cornuéjols, Antonin Duroy, Christine Martin. "Empirical Ontology of Scientific Uncertainty: Expressions of Uncertainty in Food Risk Analysis", in Society for Social Studies of Science (4S) annual meeting, San Diego, USA, October 9-12, 2013.  
    Text Mining
    Conf.
    Sandrine Blanchemanche, Akos Rona-Tas, Antoine Cornuéjols, Antonin Duroy, Christine Martin. "An Ontology of Scientific Uncertainty: Methodological Lessons from Analyzing Expressions of Uncertainty in Food Risk Assessment", in Proc. of  ISA/ESA Amsterdam conference, 23-25 January 2013 file.pdf

    Publications for 2012 :

    Topic
    Type
    Publications
    File
    Machine Learning
    Conf.
    Cornuéjols A. et Martin Ch.. "Une nouvelle méthode de combinaison d'outils d'identification non supervisés", in Proc. of Atelier PROSPECTOM — Grenoble / 29, 30 novembre 2012  
    Machine Learning
    Conf.
    Jaber G., Cornuéjols A., Tarroux, Ph. : "Reacting to Concept Changes using a Committee of Experts", in Proc. of Atelier CIDN (Classifications incrémentales et méthodes de détection de nouveauté) à EGC-2012, Bordeaux, February 2012.  

    Machine Learning

    Conf.
    Martin Ch. and Cornuéjols, A. "Détection non supervisée d'une sous-population par méthode d'ensemble et changement de représentation itératif", in Proc. of EGC-2012, Bordeaux, February 2012. Revue des Nouvelles Technologies de l'Information (RNTI-E-23, pp. 435-440)  

    Publications for 2011 :

    Topic
    Type
    Publications
    File
    Machine Learning
    Chapter
    Cornuéjols A., Koriche F., Miclet L. and Nock R. : "Modèles d'apprentissage artificiel", in Panorama actuel de l'Intelligence Artificielle. Ses bases méthodologiques et développements, Marquis, P. Papini, O., Prade H. (Eds).  
    Machine Learning
    Chapter
    Cornuéjols A., Vrain, Ch., Zucker J-D. : "Algorithmique de l'apprentissage artificiel et de la fouille de données", in Panorama actuel de l'Intelligence Artificielle. Ses bases méthodologiques et développements, Marquis, P. Papini, O., Prade H. (Eds).  

    Machine Learning

    Conf.
    Jaber G., Cornuéjols, A. and Tarroux, Ph.: "Predicting Concept Changes using a Committee of Experts", in Proc. of ICONIP-2011 (18th International Conference on Neural Information Processing). Springer-Verlag, LNCS, vol. 7062, pp.  

    Machine Learning

    Conf.
    Cornuéjols, A and Martin, Ch..: "Unsupervised Object Ranking Using Not Even Weak experts", in Proc. of ICONIP-2011 (18th International Conference on Neural Information Processing). Springer-Verlag, LNCS, vol. 7062, pp. 608-616.  
    Learning and phase transition
    Book
    Saitta, L., Giordana A. and Cornuéjols A.: "Phase Transitions in Machine Learning". Cambridge University Press, 2011. (55 £)

     

     

    Publications for 2010 :

    Topic
    Type
    Publications
    File

    Machine Learning

    Book
    Cornuéjols, A and Miclet L.: Apprentissage Artificiel. Concepts et algorithmes (2nd Ed.with extensive revisions and additions) Eyrolles, 830 p. (June 2010). (Table des Matières) (index)  
    Machine Learning
    Chapter
    Cornuéjols A.: On-line learning: Where are we so far? in May, M. and Saitta, L. (Eds), Ubiquitous Knowledge Discovery. Challenges, Techniques and Applications. Springer Verlag, LNAI 6202, pp. 129-147.

    Draft

     

    Machine Learning
    Chapter
    Gama J.and Cornuéjols A.: "Resource Aware Distributed Knowledge Discovery"., in May, M. and Saitta, L. (Eds), Ubiquitous Knowledge Discovery. Challenges, Techniques and Applications. Springer Verlag, LNAI 6202, pp. 40-60.

     

     

    Publications for 2009 :

    Topic
    Type
    Publications
    File
    Machine Learning BC. May, Michael and Berendt, Bettina and Cornuejols, Antoine and Gama, Joao and Giannotti, Fosca and Hotho, Andreas and Malerba, Donato and Menesalvas, Ernestina and Morik, Katharina and Pedersen, Rasmus and Saitta, Lorenza and Saygin, Yucel and Schuster, Assaf and Vanhoof, Koen. Research Challenges in Ubiquitous Knowledge Discovery. In Kargupta and Han and Yu and Motwani and Kumar (editors), Next Generation of Data Mining, pages 131--151, CRC Press, 2009.  

    Bioinfomatics

    Conf.
    Martin, Ch. and Cornuéjols, A: Using reliable and surprising item sets for the characterization of protein-protein interfaces. Proc. of Jobim-09 (Journées Ouvertes en Biologie, Informatique et Mathématiques), Nantes, France, June. 9-11, 2009. Draft-Jobim-09

    Publications for 2008 :

    Topic
    Type
    Publications
    File
    Learning and phase transition
    J.
    Cornuéjols A. and Sebag M.: "A note on phase transition and computational pitfalls of learning from sequences". Journal of Intelligent Information Systems (JIIS), vol.31, No.2, 177-189.

    Final-Draft

     

    Bioinfomatics

    Conf.
    Martin, Ch. and Cornuéjols, A: Identifying interface elements implied in protein-protein interactions using statistical tests and Frequent Item Sets. Proc. of BIBM-08 (The IEEE International Conference on Bioinformatics and Biomedicine), Philadelphia, PA, Nov. 3-5, 2008. Draft-BIBM-08-cmac

    Bioinfomatics

    Conf.
    Martin, Ch. and Cornuéjols, A: Relevant features mining on protein-protein interfaces. Proc. of META-08 (2nd International Conference on Metaheuristics and Nature Inspired Computing) Hammamet, Tunisia, October, 29-31, 2008. Draft-META-08-cmac
    Machine Learning
    Conf.
    Miclet L. and Cornuéjols A.: What is the place of Machine Learning between Pattern Recognition and Optimization? Proc. of the TML-2008 Conf. (Teaching Machine Learning), Saint-Etienne, France, May, 6-7th, 2008.

    Paper-TML-08

    Slides-TML-08

    Incremental search of paths
    Conf.
    Fedon, Lou and Cornuéjols, Antoine : Comment optimiser A* adaptatif, proc. of RFIA-08 (in French).

     

     

    Publications for 2007 :

    Topic
    Type
    Publications
    File

    On-line learning

    BC
    Cornuéjols, A : « The necessity of Order in Machine Learning: Is Order in Order? ». In In order to learn: How the sequences of topics affect learning, F. Ritter, J. Nerb, E. Lehtinen & T. O’Shea (Eds.), Oxford University Press, 2007, pp. 41-56.  
    Multiple-Instance Learning
    Conf.
    Gaudel R., Sebag M., & Cornuéjols A. (2007) : « A Phase Transition-Based Perspective on Multiple Instance Kernels ». Int. Conf. on Inductive Logic Programming (ILP-07, Corvalis, USA, July 2007) . (revised version of CAP-07).

    Draft-MI-ILP

     

    Multiple-Instance Learning

    Conf.
    Gaudel R., Sebag M., & Cornuéjols A. (2007) : « A Phase Transition-Based Perspective on Multiple Instance Kernels ». Conférence francophone d’apprentissage (CAP-07), Grenoble, July 4-6, 2007. CEPADUES (pp. 173-186).  
    Machine Learning
    Conf.
    Zucker J-D. and Cornuéjols A. (Eds) : Actes de la 9ème Conférence d'Apprentissage (CAP-07)  
    New method for feature selection
    W.
    Gaudel R. and Cornuéjols A.: « Combining feature ranking methods for high dimensional data analysis ». In 5th Workshop: Statistical methods for post-genomic data (WSMPG), Paris, France, Jan. 15-16, 2007.

     

     

    Publications for 2006 :

    Topic
    Type
    Publications
    File
    Grammatical inference and phase transition
    Conf.
    Thollard F. and Cornuéjols A. : « Artificial data and language theory ». Grammatical inference: workshop on open problems and new directions, Saint-Etienne, Nov. 20-22, 2006.

     

     

    Publications for 2005 :

    Topic
    Type
    Publications
    File
    Habilitation
    Report.
    Cornuéjols A.: « Apprentissage et circulation d'information ».

    Mémoire

    Transparents

    Bioinformatics

    (Attribute selection)

    Conf.
    Cornuéjols A., Froidevaux Ch. and Mary J. : « Comparing and combining feature estimation methods for the analysis of microarray data ». JOBIM-05, Poster session.   Poster
    Learning and phase transition
    Conf.
    Pernot N., Cornuéjols A., Sebag M.: « Phase transition in grammatical inference ». Conférence Francophone d'Apprentissage (CAP-05)  

    Learning and phase transition

    Conf.
    Pernot N., Cornuéjols A., Sebag M.: « Phase transition within grammatical inference ». Int. Joint Conf. on Artificial Intelligence (IJCAI-05). ijcai-05-paper

    Publications for 2004 :

    Topic
    Type
    Publications
    File

    Bioinformatics

    (Attribute selection)

    BC
    Mary J., Mercier G., Comet J-P., Cornuéjols A., Froidevaux Ch. and Dutreix M.: « Utilisation d'une méthode d'estimation d'attributs pour l'analyse du transcriptôme de cellules de levures exposées à de faibles doses de radiation ». In Informatique pour l'analyse du transcriptôme (eds. J-F. Boulicaut and O. Gandrillon), Hermès, 2004, pp. 189-205.  

    Feature selection & ensemble technique

    Conf.
    Jong K., Mary J., Cornuéjols A. & Marchiori E. & Sebag M. : « Ensemble feature ranking ». Proc. of Principles of Knowledge Discovery in Databases (PKDD-2004, Pisa, Italy, Sept. 20-24, 2004), Springer-Verlag, LNAI-3202, pp. 267-278. .pdf

    Bioinformatics

    (Attribute selection)

    Conf.
    Dutreix M., Comet J-P., Cornuéjols A. & Froidevaux Ch.. : « Determination of cellular drug targets: searching for functional information in the jungle of microarrays data ». Proc. of the Conf. "Current trends in drug discovery research" (CTDDR-2004), India, Feb. 17-20, 2004.  

    Bioinformatics

    (Attribute selection)

    J
    Mercier G., Berthault N., Mary J., Peyre J., Antoniadis A., Comet J-P., Cornuéjols A., Froidevaux Ch. & Dutreix M. : « Biological detection of low radiation by combining results of two analysis methods ». Nucleic Acids Research (NAR), Vol.32, No.1, e12 (8 pages), 2004. .pdf

    Image data bases

    (coding)

    Conf.
    Cornuéjols A., Sebag M., Mary, J. : « Classification d'images à l'aide d'un codage par motifs fréquents » (Image classification using a frequent item sets coding). Workshop sur la fouille d'images (RFIA-04), Toulouse, janvier 2004.  

    Publications for 2003 :

    Topic
    Type
    Publication
    File
    Robotics
    Conf.
    Cornuéjols A. and Miclet L. « Introduction à l'apprentissage artificiel et à la robotique ». Proc. of Journées Nationales de la Recherche en Robotique (JNRR-03). Murol, 7-9 oct. 2003, pp. 121-126.  

    Bioinformatics

    (Attribute selection)

    BC
    (Book chapter) : Mary J., Mercier G., Comet J-P., Cornuéjols A., Froidevaux Ch. & Dutreix M. (2003) « Using an attribute estimation technique for the analysis of microarray data ». In Proc. of the Dieppe Spring school on Modelling and simulation of biological processes in the context of genomics (eds. P. Amar, F. Képès, V. Norris and P. Tracqui) Publisher Frontier group, ISBN : 2 91 4601 09 3, 2003.  

    Bioinformatics

    (Attribute selection)

    Conf. & BC

    Mary J., Mercier G., Comet J-P., Cornuéjols A., Froidevaux Ch. & Dutreix M. (2003) : « Utilisation d’une méthode de sélection d’attributs pour l’analyse du transcriptome de cellules de levure exposées à de faibles doses de radiation ». Journées Post-Génomique de la Doua (JPGD-03), Lyon, France, Mai 14-15, 2003.

    (Publié dans Informatique pour l'analyse du transcriptome (Eds. Jean-François Boulicaut & Olivier Gandrillon), Traité IC2 Hermes-Lavoisier, 2004, pp. 189-205)

     

    Image data bases

    (coding)

    Conf. & J.
    Jouteau S., Cornuéjols A., Sebag M., Tarroux Ph. et Liénard J-S. (2003) : « Nouveaux résultats en classification à l’aide d’un codage par motifs fréquents ». EGC-03 (Extraction et Gestion des Connaissances), Lyon, France, January 2003. (also published in Revue d'intelligence Artificielle (RIA), 2003, vol.17, N°1-3, pp. 521-532). .pdf

    Cognitive Sciences

    BC
    Buty, Ch. et Cornuéjols A. (2003) : « Évolution des connaissances chez l'apprenant ». in Des connaissances naïves au savoir scientifique (Ed. Andrée Tiberghien) (Note de synthèse pour Cognitique, Programme ACI Ecole et Sciences Cognitives du Ministère de la recherche, France). .pdf

    Publications for 2002 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Book
    Antoine CORNUÉJOLS - Laurent MICLET    (avec la participation d'Yves KODRATOFF) "Apprentissage artificiel : Concepts et algorithmes". Eyrolles. Août 2002. 638p. 52 euros. ISBN: 2-212-11020-0.  

    Machine Learning

    J.
    Cornuéjols A. (2002) : "Une introduction aux SVM". Bulletin n°51 de l'AFIA (Association Française d'Intelligence Artificielle), juin 2002, pp. 14-23.
     

    Publications for 2000 :

    Topic
    Type
    Publication
    File
    Cognitivive Science / Education
    J.
    Cornuéjols A., A. Tiberghien & G. Collet (2000): "A new mechanism for transfer between conceptual domains in scientific discovery and education". Foundation of Science, 5, 129-155, 2000.  

    Publications for 1999 :

    Topic
    Type
    Publication
    File
    Cognitivive Science / Education
    J.
    Cornuéjols A., Tiberghien A. & Collet G. (1999) : " Easing problem solving in new conceptual domains : A mechanism for scientific discovery and education". Actes de la 1ère Conférence d'Apprentissage (CAP-99), Palaiseau, France, 16-19 juin, 1999.  

    Cognitivive Science / Education

    Conf.
    Cornuéjols A., Tiberghien A. & Collet G. (1999) : "Tunnel effects in cognition : A transfer mechanism from known conceptual domains to new ones". Conference on Artificial Intelligence and Simulation of Behaviour (AISB-99), Edinburgh, United Kingdom, April 6-9, 1999. (pp. 9-18 in vol. on Scientific Creativity).

     
    Cognitivive Science / Education
    J.
    Cornuéjols A., Tiberghien A. & Collet G. (1999) : "Tunnel effects in cognition: A new mechanism for scientific discovery and education". (submitted to IJHCS).  

    Publications for 1998 :

    Topic
    Type
    Publication
    File
    Cognitivive Science / Education
    Conf.
    Cornuéjols A., Tiberghien A. & Collet G. (1998) : "Decomposing the scientific discovery process using multiple interpretations of notions". 1st Conference on Model-Based Reasoning (MBR-98), Pavia, Italy, December 17-19, 1998.  

    Analogical reasoning

    Conf.
    Alès-Bianchetti J. & Cornuéjols A. (1998) : "Comment approximer la complexité algorithmique à l'aide de la notion de réseau de concepts". Actes des 13èmes Journées Françaises d'Apprentissage (JFA-98), Arras, France, 18-20 mai, 1998.
     
    Cognitivive Science / Education
    Conf.
    Cornuéjols A. & Ales-Bianchetti J. (1998) : "Analogy and Induction: which (missing) link?", Workshop "Advances in Analogy Research: Integration of Theory and Data from Cognitive, Computational and Neural Sciences", Sofia, Bulgarie, Juillet 17-20, 1998.  

    Publications for 1997 :

    Topic
    Type
    Publication
    File
    Cognitivive Science / Education
    Conf.
    Cauzinille-Marmèche E., Collet G., Cornuéjols A. & Tiberghien A. (1997) : "Co-Adaptation of Students' Knowledge Domains when Interpreting a Physical Situation in Terms of a New Theory". Proc. of the 2nd European Conference on Cognitive Science (ECCS-97), Manchester, April 9-12, 1997.  

    Machine Learning

    Chap.
    Cornuéjols A. & Moulet M. (1997) : "Machine Learning: A Survey". In Tzafestas S. (Ed.) "Knowledge Based Systems. Advanced Concepts, Techniques and Applications", World Scientific, 1997, pp. 60-84.
     

    Publications for 1996 :

    Topic
    Type
    Publication
    File
    Analogical Reasoning
    Conf.
    Cornuéjols A. (1996) : "Analogie, principe d'économie et complexité algorithmique". Actes des 11èmes Journ*es Françaises d'Apprentissage (JFA-96), Sètes, France, 8-10 mai, 1996, pp. 233-247.  

    Analogical Reasoning

    Chap.
    Cornuéjols A. (1996) : "Analogy as Minimization of Description Length", in Nakhaeizadeh, G. and Taylor, C. (Eds) "Machine Learning and Statistics : The interface", pp. 321-336. John Wiley & Sons, 1996.
     
    Machine Learning
    Conf.
    Brunie-Taton A. & Cornuéjols A. (1996) : "Classification en Programmation Génétique". Actes des 11èmes Journées Françaises d'Apprentissage (JFA-96), Sètes, France, 8-10 mai, 1996, pp. 303-316.  

    Publications for 1995 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. & Brunie-Taton A. (1995) : "Classification par Programmation Génétique". Poster dans les Actes des Journées Acquisition-Validation-Apprentissage (JAVA-95), Grenoble, France, 5-7 avril, 1995.  
    Machine Learning
    Conf.
    Cornuéjols A. (2002) : "Une introduction aux SVM". Bulletin n°51 de l'AFIA (Association Française d'Intelligence Artificielle), juin 2002, pp.14-23.  

    Publications for 1994 :

    Topic
    Type
    Publication
    File
    Analogical Reasoning
    Conf.
    Cornuéjols A. (1994) : "Induction from one example and statistics: Analogy as a minimization principle". Proc. of the Workshop on "Machine Learning and Statistics", ECML-94 (European Conf. on Mach. Learning), Catanes, Italie, 6-8 avril 1994.  

    Analogical Reasoning

    Conf.
    Cornuéjols A. (1994) : "Analogy as a description minimization principle". Proc. of the Workshop on "Applications of Descriptional Complexity to Inductive, Statistical, and Visual Inference" , ML/COLT-95 (Intern. Conf. on Mach. Learning / Comp. Learning Theory), Rutgers Univiversity, Etats-Unis, 10-15 juillet 1994.  
    Machine Learning
    Conf.
    Cornuéjols A. (1994) : "Analogy as a minimization principle". Proc. of the Dagstuhl Seminar : "Theory and Praxis of Machine Learning" (Eds. Thomas Dietterich, Wolfgang Maass, Hans-Ulrich Simon, Manfred Warmuth) , Dagstuhl-Seminar-Report 91, 27 June - 1 July 1994.  

    Publications for 1993 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. (1993) : "Getting Order Independence in Incremental Learning". Proc. of the European Conference on Machine Learning (ECML-93), Vienne, 5-8 avril 1993. Springer Verlag, Lecture Notes in Artificial Intelligence 667, Pavel Brazdil (Ed.), pp. 196-212.  

    Analogical Reasoning

    Conf.
    Cornuéjols A. (Ed.) (1993) : "Training Issues in Incremental Learning". Proceedings of the AAAI Spring Symposium, Stanford University, March 23-25, 1993.  
    Machine Learning
    Conf.
    Cornuéjols A. (1993) : "Memory Limitations and Optimisation of Training Sequences for Incremental Learners". in Proceedings of MLnet workshop on Learning in Autonomous Agents, Blanes, Spain, September 93.  

    Publications for 1992 :

    Topic
    Type
    Publication
    File

    Analogical Reasoning

    submitted
    Cornuéjols A. (1992) : "Non-symmetry and the consistency of analogical and case-based reasoning", Submitted to ECAI-1992.  
    Machine Learning
    Conf.
    Kodratoff, Y. & Cornuéjols A. (1992) : "Getting Order Independance in Incremental Learning". in the AAAI Workshop on “Using prior knowledge in Learning”, San Jose, California, july 13th, 1992. (4 pages)  

    Publications for 1991 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Kodratoff, Y. & Cornuéjols A. (1991) : "Acquiring knowledge about Explanations Patterns". Symposium on "Learning methods for Planning and Scheduling", Stanford University, Palo Alto, California, january 5-6, 1991.  

    Publications for 1990 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. (1990) : "Connexionnisme et Représentation de haut-niveau". Actes du Workshop Modèles Symboliconnexionnistes, ENST, Paris, 4 & 5 avril 1990, pp. 59-72.  

    Publications for 1989 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. (1989) : "An Exploration into Incremental Learning : the INFLUENCE System", in Proc. of the 6th International Workshop on Machine Learning (ICML-89), Cornell june 29th-july 1st, 1989, pp. 383-386.  

    Machine Learning

    Conf.
    Cornuéjols A. (1989) : "De l'apprentissage incrémental par adaptation dynamique: le système INFLUENCE" ("Incremental Learning through dynamic adaptation : the INFLUENCE system"), PhD. dissertation, Université de Paris-Sud, Orsay, (France).  
    Machine Learning
    Conf.
    Cornuéjols A. (1989) : "Compréhension non-monotone de texte : que garder en mémoire ?". Actes AFCET-RFIA, Paris, nov. 1989, pp. 711-726.  

    Publications for 1988 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. (1988) : "INFLUENCE : Un système d'apprentissage par adaptation", in Proc. of JFA-88 (Journées Françaises d'Apprentissage), Cassis, 5-6 mai 1988, pp. 39-56.  

    Machine Learning

    J.
    Cornuéjols A. (1988) : "Machine Learning Research at the Laboratoire de Recherche en Informatique at Orsay, France". in Computational Intelligence, 4, pp. 212-221, mai 1988.  Draft

    Publications for 1987 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cassou J.-P. & Cornuéjols A. (1987) : "Statistical filtering of motion field from image sequences", in Proc. of GRETSI-87, Nice, 1-5 juin 1987.  

    Machine Learning

    Conf.
    Cornuéjols A. (1987) : "Revision of "interpretation" in Episodic Memory by using chemistry instead of reason maintenance systems". in Proc. of Cognitiva - MARI-87 (MAchines et Réseaux Intelligents), pp. 104-110, Paris, France, 18-22 mai 1987.  

    Publications for 1986 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Conf.
    Cornuéjols A. (1986) : "Changes of Mind: Revision of "Interpretation" in Episodic Memory". in Proc. of the Southern California Conference on Artificial Intelligence, 26 avril 1986, University of California, San Diego (UCSD).  

    Publications for 1985 :

    Topic
    Type
    Publication
    File
    Cognitive Science
    Report
    Cornuéjols A. (1985) : "Concept formation: A day in the country". UCLA - Cognitive Science dept., 1985.  

    Publications for 1983 :

    Topic
    Type
    Publication
    File
    Machine Learning
    Report
    Cornuéjols A. (1983) : "Le contrôle d'exécution de plans pour systèmes décisionnels de robotique". LSI rapport interne No. 223, Toulouse, 1983.  

     

    LE livre sur l'apprentissage artificiel
    en français
    :

     

    Antoine CORNUÉJOLS - Laurent MICLET    (avec la participation d'Yves KODRATOFF)

    "Apprentissage artificiel : Concepts et algorithmes"

    Eyrolles. Août 2002. 638p. 52 euros. ISBN: 2-212-11020-0

    (http://www.eyrolles.com/php.informatique/Ouvrages/)

     

     

    The following partial bibliography is organized around my research topics.

     


    The dynamics of learning

    • Cornuéjols A. (1993) : "Getting Order Independence in Incremental Learning". Proc. of the European Conference on Machine Learning (ECML-93), Vienne, 5-8 avril 1993. Springer Verlag, Lecture Notes in Artificial Intelligence 667, Pavel Brazdil (Ed.), pp.196-212.

    • Cornuéjols A. (Ed.) (1993) : "Training Issues in Incremental Learning". Proceedings of the AAAI Spring Symposium, Stanford University, March 23-25, 1993.

    • Cornuéjols A. (1989) : "An Exploration into Incremental Learning : the INFLUENCE System", in Proc. of the 6th International Workshop on Machine Learning (ICML-89), Cornell june 29th-july 1st, 1989, pp.383-386.

    • Cornuéjols A. (1989) : "De l'apprentissage incrémental par adaptation dynamique: le système INFLUENCE" ("Incremental Learning through dynamic adaptation : the INFLUENCE system"), PhD. dissertation, Université de Paris-Sud, Orsay, (France).


    Change of representation for learning

     



    Transfer of information
    and
    cognitive science



    Surveys on
    machine learning

    • Cornuéjols A & Miclet L. (2002) : "Apprentissage artificiel. Concepts et algorithmes". (Eyrolles, 638p., 52 euros)

    • Cornuéjols A. (2002) : "Une introduction aux SVM". Bulletin n°51 de l'AFIA (Association Française d'Intelligence Artificielle), juin 2002, pp.14-23.

    • Cornuéjols A. & Moulet M. (1997) : "Machine Learning : A Survey". In Tzafestas S. (Ed.) "Knowledge Based Systems. Advanced Concepts, Techniques and Applications", World Scientific, 1997, pp. 60-84.

    • Cornuéjols A., Moulet M. & Vincent R. (1995) : Dossier spécial sur l'apprentissage symbolique automatique. Bulletin n°22 de l'AFIA (Association Française d'Intelligence Artificielle), octobre 1995, pp.14-23

    Miscellaneous

    • Brunie-Taton A. & Cornuéjols A. (1996) : "Classification en Programmation Génétique". Actes des 11èmes Journées Françaises d'Apprentissage (JFA-96), Sètes, France, 8-10 mai, 1996, pp.303-316.

    • Cornuéjols A. & Brunie-Taton A. (1995) : "Classification par Programmation Génétique". Poster dans les Actes des Journées Acquisition-Validation-Apprentissage (JAVA-95), Grenoble, France, 5-7 avril, 1995.

    • Cassou J.-P. & Cornuéjols A. (1987) : "Statistical filtering of motion field from image sequences", in Proc. of GRETSI-87, Nice, 1-5 juin 1987.

     

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