Topic	Type	Publications	File
AI and ML	Journal	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”. International Journal of Approximate Reasoning (IJAR), https://doi.org/10.1016/j.ijar.2024.109206.	Pre-proof
Machine Learning	Edited Book	Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet (Eds). Advances in Knowledge Discovery and Management (vol.10). Springer, Studies in Computational Intelligence, 1110. (2024).
Transfer learning	Journal	Antoine Cornuéjols. “Some thoughts about transfer learning. What role for the source domain?”. International Journal of Approximate Reasoning (IJAR), https://doi.org/10.1016/j.ijar.2023.109107.

Publications for 2023 :

Topic	Type	Publications	File
Bioinformatics	Conf. (Poster)	Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec and Jean-Loup Faulon. “Solving regression problems using bacterial metabolism”. 2023 - Living Machines @ Work day, Oct. 2023, Gif-sur-Yvette, France.
Bioinformatics	Conf. (Poster)	Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec and Jean-Loup Faulon. “Solving regression problems using bacterial metabolism”. DIM BioConvS, Nov. 2023, Saint-Ouen, France.
Bioinformatics	Int. Conf. (Poster)	Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec and Jean-Loup Faulon. “Evaluation of information processing capacity of bacterial metabolism through regression problem solving”. BioSynSys 2023 - Symposium on Synthetic and Systems Biology, Jul 2023, Toulouse, France.	Poster
Weakly Supervised Learning	Preprint	Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols. “Biquality Learning: a Python library for Biquality Learning”. arXiv:2308.09643.
Recommendation	Journal	Jules Vandeputte, Pierrick Herold, Mykyt Kuslii, Paolo Viappiani, Laurent Muller, Christine Martin, Olga Davidenko, Fabien Delaere, Cristina Manfredotti, Antoine Cornuéjols, Nicolas Darcel. “Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes”. The Journal of Nutrition, https://doi.org/10.1016/j.tjnut.2022.12.022.	Draft
Weakly Supervised Learning	Journal	Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols. “Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts”. Machine Learning journal, 1-30 (ML Journal Track at ECML-PKDD-2023, 18-22 Sept. 2023, Torino, Italy).

Publications for 2022 :

Topic	Type	Publications	File
Times Series	Int. Conf.	Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire. “When to Classify Events in Open Times Series?”. ACML-2022 (Asian Conf. On Machine Learning), 12-14 December 2022, Hyderabad, Italia.	Paper
AI and cold chains	Journal	Julie Loisel, Antoine Cornuéjols, Onrawee Laguerre, Margot Tardet, Dominique Cagnon, Olivier Duchesne de Lamotte, Steven Duret. “Machine learning for temperature prediction in food pallet along a cold chain: Comparison between synthetic and experimental training dataset”. Journal of Food Engineering, Elsevier, In press.	Paper
Times Series	Journal	Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, Joao Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau. “Open challenges for Machine Learning based Early Decision-Making research”. ACM SIGKDD Explorations Newsletter, Volume 24, Issue 2, December 2022, pp. 12-31, https://doi.org/10.1145/3575637.3575643.	Preprint
Times Series	Int. Conf.	Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire. “Early and Revocable Time Series Classification”. IJCNN-2022 (Int. Joint Conf. on Neural Networks), 18-23 July 2022, Padua, Italia.	Paper
Repeated recommendations	Int. Conf.	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 (Int. Conf. On Autonomous Agents and Multi-Agent Systems), May 9-13, 2022, Auckland, New-Zealand.
Weakly Supervised Learning	Nat. Conf.	Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols. “Repondération préférentielle pour l'apprentissage biqualité”. EGC-2022 (Conf. Francophone sur l'Extraction et la Gestion des Connaissances), 24-28 janvier 2022, Blois, France. Revue des Nouvelles Technologies de l'Information vol. RNTI-E-38, pp.339-346.	Paper

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 Algorithms” DSAA-2021 (8th IEEE International Conference on Data Science and Advanced Analytics), Porto, Portugal, 6-9 October, 2021.	Paper
Aerial images	Journal	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	Journal	Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui “Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms” Machine 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) Virtual Event, 18-22 July 2021.	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) Virtual Event, 18-22 July 2021.	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	Vincent Barra, Antoine Cornuéjols and Laurent Miclet : 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
	Edited book	Antoine Cornuéjols, Etienne 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
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	Journal	Antoine Cornuéjols “Alimentation durable et intelligence artificielle” in Revue IAA (Industries Agro-Alimentaires) Mai-Juin 2020, pp. 26-28.	Paper
General	Journal	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), pp.46-51.	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, pp.338-346.	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), pp.597-611.	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 “Adaptive Window Strategy for Topic Modeling in Document Streams”, Int. Joint Conf. on Neural Networks (IJCNN-2018) July 8-13, 2018 - Rio (Brazil), pp.1-7.	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), pp.2581-2587.	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	Journal	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), pp.27-31.
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), pp.53-62.
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, pp.1908-1915.
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, pp.297-302.

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, pp.148-155.
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, pp.245-256, 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, pp.2842-2849.
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, pp.291-298.
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, pp.543-544.
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, pp.199-204.
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, pp.3-16. (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, pp.433-447.	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), pp.45-48.
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, pp.147-157.
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, pp.548-555.
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, pp.159-166.
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, pp.60-67.
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, pp.595-604.
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, pp.400-408.
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
Unsupervised 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
On-line 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.
On-line 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).
On-line 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.580-588.
Unsupervised 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)
On-line 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, pp.78-83.	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, pp.112-121). (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), pp.49-60.
Learning and phase transition	Conf.	Pernot N., Cornuéjols A., Sebag M.: « Phase transition within grammatical inference ». Int. Joint Conf. on Artificial Intelligence (IJCAI-05), pp.811-816.	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 Journes 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.

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	Jouteau S., Cornuéjols A., Sebag M., Tarroux Ph. & Liénard J-S. (2003) : "Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents". Proc. of the Extraction et Gestion des Connaissances (EGC-03), Lyon, France, 22-24 janvier 2003.
Transfer of information and cognitive science	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. 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. 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). Cornuéjols A., Tiberghien A. & Collet G. (1999) : "Tunnel effects in cognition: A new mechanism for scientific discovery and education". (submitted to IJHCS). 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. 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. 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. Cornuéjols A. (1996) : "Analogie, principe d'économie et complexité algorithmique". Actes des 11èmes Journes Françaises d'Apprentissage* (JFA-96), Stes, France, 8-10 mai, 1996, pp.233-247. 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. 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. 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. 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.
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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