| Koptelov M., Holveck M., Crémilleux B., Reynaud J., Roche M., Teisseire M. Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language, 10th IEEE Int. Conf. on Data Science and Advanced Analytics (DSAA 2023), IEEE, Thessaloniki, Greece, October 2023. | |
| Rafla M., Voisine N., Crémilleux B. Parameter-Free Bayesian Decision Trees for Uplift Modeling, 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), Lecture Notes in Computer Science, N. 13936, pp. 309-321, Springer, Osaka, Japan, May 2023. | |
| Crémilleux B., Hess S., Nijssen S. (Eds.) Advances in Intelligent Data Analysis XXI, proceedings of the 21st Int. Symposium on Intelligent Data Analysis (IDA 2023), Louvain-la-Neuve, Belgium, LNCS 13876, Springer, April 2023. | |
| Schietgat S., Cuissart B., De Grave K., Efthymiadis K., Bureau R., Crémilleux B., Ramon J., Lepailleur A. Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm, Molecular Informatics, Wiley, 2023. | |
| Rafla M., Voisine N., Crémilleux B., Boullé M. Non-Parameteric Bayesian Approach for Uplift Discretization and Feature Selection, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Springer, Grenoble, France, September 2022. | |
| Soulet A., Rioult F., Crémilleux B. A Condensed Survey on Condensed Representations of Patterns, 20th anniversary of KDID Workshop (KDID 2022), co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), CEUR Workshop Proceedings, N. 3334, pp. 1-16, Grenoble, France, September 2022. | |
| Lehembre E., Bureau B., Crémilleux B., Cuissart B., Lamotte J-L., Lepailleur A., Ouali A., Zimmermann A. Outstanding Patterns Based on their Neighbourhood, 20th Int. Symposium on Inttelligent Data Analysis (IDA 2022), Lecture Notes in Computer Science, N. 13205, Springer, pp. 198-211, Rennes, France, April 2022. | |
| Rafla M., Voisine N., Crémilleux B. Evaluation of Uplift Models with Non-Random Assignment Bias, 20th Int. Symposium on Inttelligent Data Analysis (IDA 2022), Lecture Notes in Computer Science, N. 13205, Springer, pp. 251-263, Rennes, France, April 2022. | |
| Koptelov M., Zimmermann A., Crémilleux B. Soualmia L. F. LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks, Applied Network Science, volume 6(72), 2021. | |
| Condaminet D., Zimmermann A., Billiot, Crémilleux B., Pluchon S. Using Data Science to Improve the Identification of Plant Nutritional Status, 7th IEEE Int. Conf. on Data Science and Advanced Analytics (DSAA 2020), Sydney, Australia, IEEE Computer Society, pp. 496-505, October 2020. | |
| Gançarski P., Dao T.-B.-H., Crémilleux B., Forestier G., Lampert T. Constrained Clustering: Current and New Trends, A Guided Tour of AI Research, Editeurs : Pierre Marquis, Odile Papini, Henri Prade. Volume 2, chapitre 14, pp. 447-484, 2020. | |
| Koptelov M., Zimmermann A., Crémilleux B., Soualmia L. Link Prediction via Community Detection in Bipartite Multi-Layer Graphs, 35th ACM/SIGAPP Symposium On Applied Computing (SAC 2020), Brno, Czech Republic, ACM Press, pp. 430-439, April 2020. | |
| Ugarte W., Loudni S., Boizumault P., Crémilleux B., Termier A. Compressing and Querying the Skypattern Cubes, 32nd Int. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2019), Lecture Notes in Artificial Intelligence, N. 11606, Springer, pp. 406-421 , Graz, Austria, July 2019. | |
| Huang X., Zanni-Merk C., Crémilleux B. Enhancing Deep Learning with Semantics: an application to manufacturing time series analysis, 23rd Int. Conf. on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2019), Budapest, Hungary, pp. 437-446, September 2019. | |
| Condaminet D., Widlöcher A., Buard P-Y., Crémilleux B., Roger J. Apport du Text Mining pour l’exploration de relations dans les textes. Application à la découverte d’appariements entre objets d’intérêt et localisations dans la Tapisserie de Bayeux, Atelier DigitAl Humanities and cuLtural herItAge (DAHLIA) associé à EGC 2019, pp. 44-55, Metz, janvier 2019. | |
| Koptelov M., Zimmermann A., Crémilleux B. Link Prediction in Multi-Layer Networks and its Application to Drug Design, 17th Int. Symposium on Intelligent Data Analysis (IDA 2018), Lecture Notes in Computer Science, N. 11191, Springer, pp. 175-187, Hertogenbosch, The Netherlands, October 2018. | |
| Crémilleux B., Giacometti A., Soulet A. How Your Supporters and Opponents Define Your Interestingness, 18th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2018), Lecture Notes in Computer Science, Springer, pp. 373-389, Dublin, Ireland, September 2018. | |
| Galbrun E., Cellier P., Tatti N., Termier A., Crémilleux B. Mining Periodic Patterns with a MDL Criterion, 18th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2018), Lecture Notes in Computer Science, Springer, pp. 535-551, Dublin, Ireland, September 2018. | |
| Koptelov M., Zimmermann A., Bonnet P., Bureau R., Crémilleux B. PrePeP - A Tool for the Identification and Characterization of Pan Assay Interference Compounds, ACM Int. Conf. on Knowledge Discovery and Data Mining (KDD 2018, Applied Data Science track), pp. 462-471, London, United Kingdom, August 2018. | |
| Alizadeh P., Cellier P., Charnois T., Crémilleux B., Zimmermann A. An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse, 19th Int. Conf. on Computational Linguistics and Intelligent Text Processing (CICLing 2018), Springer, Hanoi, Vietnam, March 2018. | |
| Lampert T., Dao T-B-H., Lafabregue B., Serrette N., Forestier G., Crémilleux B., Vrain C., Gançarski P. Constrained Distance Based Clustering for Time-Series: A Comparative and Experimental Study, Data Mining and Knowledge Discovery, 32(6), pp. 1663-1707, 2018. | |
| Rabatel J., Fannes T., Lepailleur A., Le Goff J., Crémilleux B., Ramon J, Bureau R., Cuissart B. Non a priori automatic discovery of 3D chemical patterns: application to mutagenicity, Molecular Informatics. 2017. | |
| Ugarte W., Boizumault P., Crémilleux B., Lepailleur A., Loudni S., Plantevit M., Raïssi C., Soulet A. Skypattern Mining: from Pattern Condensed Representations to Dynamic Constraint Satisfaction Problems, Artificial Intelligence Journal, 244, pp. 48-69, 2017. | |
| Ouali A., Zimmermann A., Loudni S., Lebbah Y., Crémilleux B., Boizumault P., Loukil L. Integer Linear Programming for Pattern Set Mining; with an Application to Tiling, 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp. 286-289, Jeju Island, Korea, May 2017. | |
| En S., Crémilleux B., Jurie F. Unsupervised Deep Hashing with Stacked Convolutional Autoencoders, Int. Conf. on Image Processing (ICIP 2017), Beijing, China, September 2017. | |
| Lejeune G., Rioult F., Crémilleux B. Highlighting Psychological Features for Predicting Child Interventions During Story Telling, Interspeech 2016, pp. 2056-2059, San Francisco, September 2016. | |
| Cellier P., Charnois T., Plantevit M., Rigotti C., Crémilleux B., Gandrillon O., Kléma J., Manguin J-L. Sequential Pattern Mining for Discovering Gene Interactions and their Contextual Information from Biomedical Texts, Journal of Biomedical Semantics, 6(27), 2015. | |
| Métivier J-P., Lepailleur A., Buzmakov A., Poezevara G., Crémilleux B., Kuznetsov S., Le Goff J., Napoli A., Bureau R., Cuissart B. Discovering Structural Alerts for Mutagenicity using Stable Emerging Molecular Patterns, Int. Journal of Chemical Information and Modeling, 55(5), pp. 925-940, 2015. Paper. | |
| Ugarte W., Boizumault P., Loudni S., Crémilleux B., Lepailleur A. Soft Constraints for Pattern Mining, Journal of Intelligent Information Systems,44(2), pp. 193-221, 2015, Springer. Paper. | |
| Ugarte W., Boizumault P., Crémilleux B., Loudni S. Modeling and Mining Optimal Patterns using Dynamic CSP, IEEE 27th Int. Conf. on Tools with Artificial Intelligence (ICTAI 2015), IEEE Computer Society, pp. 33-48, Vietri sul Mare, Italy, November 2015. | |
| Béchet N., Cellier P., Charnois T., Crémilleux B. Sequence Mining under Multiple Constraints, 30th Int. Conf. Symposium On Applied Computing (SAC 2015), ACM Press, pp. 908-914, Salamanca, Spain, April 2015. | |
| Kane B., Cuissart B., Crémilleux B. Minimal Jumping Emerging Patterns: computation and practical assessment, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), Lecture Notes in Artificial Intelligence, N. 9077, Springer, pp. 722-733, Ho Chi Minh City, Vietnam, May 2015. | |
| Holat P., Plantevit M. Raïssi C., Tomeh N., Charnois T., Crémilleux B. Sequence Classification Based on Delta-Free Sequential Patterns, 14th IEEE Int. Conf. on Data Mining (ICDM 2014), IEEE Computer Society Press, pp. 170-179, Shenzhen, China, December 2014. | |
| Voravuthikunchai W., Crémilleux B., Jurie F. Image re-ranking system based on frequent closed patterns, International Journal of Multimedia Information Retrieval, 3(4), pp. 231-244, 2014. | |
| Ugarte W., Boizumault P., Loudni S., Crémilleux B. Computing skypattern cubes, IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI 2014), IEEE Computer Society Press, Limassol, pp. 859-866, Cyprus, November 2014. Paper. | |
| Kemmar A., Ugarte W., Loudni S., Charnois T., Lebbah Y., Boizumault P. Crémilleux B. Mining Relevant Sequence Patterns with CP-based Framework, IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI 2014), IEEE Computer Society, pp. 552-559, Limassol, Cyprus, November 2014. Paper. | |
| Ugarte W., Boizumault P., Loudni S., Crémilleux B. Computing skypattern cubes, 21st European Conference on Artificial Intelligence (ECAI 2014), IOS Press, pp. 903-908, Prague, Czech Republic, August 2014. | |
| Voravuthikunchai W., Crémilleux B., Jurie F. Histograms of Pattern Sets for Image Classification and Object Recognition, 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp. 224-231, Columbus, Ohio, June 2014. | |
| Ugarte W., Boizumault P., Loudni S., Crémilleux B., Lepailleur A. Mining (Soft-)Skypatterns using Dynamic CSP, 11th Int. Conf. on Integration of Artificial Intelligence (AI) and Operations Research (OR) techniques in Constraint Programming (CP-AI-OR 2014), Lecture Notes in Computer Science, N. 8451, Springer, pp. 71-87, Cork, Ireland, May 2014. Paper. | |
| Voravuthikunchai W., Crémilleux B., Jurie F. Image re-ranking based on statistics of frequent patterns, ACM Int. Conference on Multimedia Retrieval (ICMR 2014) Glasgow, United-Kingdom, April 2014. | |
| Cuissart B., Poezevara G., Crémilleux B., Lepailleur A., Bureau R. Emerging Patterns as Structural Alerts for Computational Toxicology, in Contrast Data Mining: Concepts, Algorithms and Applications, Chapter 19, Dong G. & Bailey J. (Eds.), Taylor & Francis Group, pp. 269-282, 2013. Draft here. | |
| Cerf L., Gay D., Selmaoui-Folcher N., Crémilleux B., Boulicaut J-F. Parameter-free classification in multi-class imbalanced data sets, Data Knowledge Engineering, 87(9), pp. 109-129, 2013, Elsevier. Draft here. | |
| Métivier J-P., Boizumault P., Crémilleux B., Khiari M., Loudni S. Constrained Clustering using SAT, 11th Int. Symposium on Intelligent Data Analysis (IDA 2012), Lecture Notes in Computer Science, N. 7619, Springer, pp. 207-218, Helsinki, Finland, October 2012. Paper. | |
| Ugarte W., Boizumault P., Loudni S., Crémilleux B. Soft Threshold Constraints for Pattern Mining, 15th Int. Conf. on Discovery Science (DS 2012), Lecture Notes in Computer Science, N. 7569, Springer, pp. 313-327, Lyon, France, October 2012. Paper. Best paper. | |
| Béchet N., Cellier P., Charnois T., Crémilleux B., Jaulent M-C. Sequential Pattern Mining to Discover Relations between Genes and Rare Diseases, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), IEEE Computer Society Press, pp. 203-215, Rome, Italy, June 2012. Paper. | |
| Béchet N., Cellier P., Charnois T., Crémilleux B. Discovering linguistic patterns using sequence mining, 13th Int. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing 2012), Lecture Notes in Computer Science, N. 7181, Springer, pp. 154-165, New Delhi, India, March 2012. Paper. | |
| Voravuthikunchai W., Crémilleux B., Jurie F. Finding Groups of Duplicate Images In Very Large Dataset, 23rd British Machine Vision Conference (BMVC 2012), BMVA Press, pp. 105.1-105.12, United-Kingdom, Guildford, September 2012. Paper. | |
| Métivier J-P., Boizumault P., Crémilleux B., Khiari M., Loudni S. A Constraint-based Language for Declarative Pattern Discovery, 27th Int. Conf. Symposium On Applied Computing (SAC 2012), ACM Press, pp. 438-444, Riva del Garda (Trento), Italy, May 2012. Paper. | |
| Soulet A., Raïssi C., Plantevit M., Crémilleux B. Mining Dominant Patterns in the Sky, 11th IEEE Int. Conf. on Data Mining (ICDM 2011), IEEE Computer Society Press, pp. 655-664, Vancouver, Canada, December 2011. Paper. | |
| Poezevara G., Cuissart B., Crémilleux B. Extracting and Summarizing the Frequent Emerging Graph Patterns from a Dataset of Graphs, Journal of Intelligent Information Systems, 37(3), pp. 333-353, 2011. Paper. | |
| Métivier J-P., Boizumault P., Crémilleux B., Khiari M., Loudni S. A Constraint-based Language for Declarative Pattern Discovery, proceedings of the Int. Workshop "Declarative Pattern Mining" co-located with 11th IEEE Int. Conf. on Data Mining (ICDM 2011), 1112-1119, Vancouver, Canada, December 2011. | |
| Soulet B., Crémilleux B., Plantevit M. Summarizing Contrasts by Recursive Pattern Mining, proceedings of the Int. Workshop "Contrast Data Mining" co-located with 11th IEEE Int. Conf. on Data Mining (ICDM 2011), pp. 1155-1162, Vancouver, Canada, December 2011. | |
| Plantevit M., Raïssi C., Crémilleux B. Motifs séquentiels delta-libres, actes des 11ème Journées Francophones Extraction et Gestion de Connaissances (EGC 2011), Hermann, pp. 35-46, Brest, France, January 2011. | |
| Ben Othman L., Rioult F., Ben Yahia S., Crémilleux B. Base de caractérisation des valeurs manquantes, Technique et Science Informatiques 30(10), pp. 1247-1270, Lavoisier, 2011. Draft here. | |
| Khiari M., Boizumault P., Crémilleux B. Constraint Programming for Mining n-ary Patterns, 6th Int. Conference on Principles and Practice of Constraint Programming (CP 2010), Lecture Notes in Computer Science, N. 6308, Springer, pp. 552-567, St Andrews, Scotland, September 2010. Paper. | |
| Bissell-Siders R., Cuissart B. Crémilleux B. On the Stimulation of Patterns, 18th Int. Conference on Conceptual Structures (ICCS 2010), Lecture Notes in Artificial Intelligence, N. 6208, Springer, pp. 56-69, Kuching, Sarawak, Malaysia, July 2010. | |
| Cellier P., Charnois T., Plantevit M., Crémilleux B. Recursive Sequence Mining to Discover Named Entity Relations, 9th International Symposium on Intelligent Data Analysis (IDA 2010), Lecture Notes in Computer Science, N. 6065, Springer, pp. 30-41, Tucson, Arizona, United States, May 2010. Paper. | |
| Lozano S., Poezevara G., Halm-Lemeille M-P., Lescot-Fontaine E., Lepailleur A., Bissell-Siders R., Crémilleux B., Rault S., Cuissart B., Bureau R. Introduction of jumping fragments in combination with QSARs for the assessment of classification in ecotoxicology, Int. Journal of Chemical Information and Modeling 50 (8), pp 1330-1339, 2010. Paper. | |
| Khiari M., Boizumault P., Crémilleux B. Combining CSP and Constraint-based Mining for Pattern Discovery, 10th Int. Conf. on Computational Science and Its Applications (ICCSA 2010), Lecture Notes in Computer Science, N. 6017, Springer, pp. 432-447, Fukuoka, Japan, March 2010. Paper. | |
| Rioult F., Zanuttini B., Crémilleux B. Nonredundant generalized rules and their impact in classification, in Advances in Intelligent Information Systems, Series: Studies in Computational Intelligence, Vol. 265, Springer, pp. 3-25, 2010. | |
| Khiari M., Boizumault P., Crémilleux B. Allier CSPs et motifs locaux pour la découverte de motifs sous contraintes n-aires, actes des 10ème Journées Francophones Extraction et Gestion de Connaissances (EGC 2010), RNTI-E-19, janvier 2010, Cépaduès Editions, pp. 199-210, Hammamet, Tunisie. | |
| Charnois T., Plantevit M., Rigotti C., Crémilleux B. Fouille de données séquentielles pour l'extraction d'information dans les textes, revue Traitement Automatique des Langues 50(3), pp. 59-87, Lavoisier, 2009. | |
| Soulet A., Crémilleux B. Mining constraint-based patterns using automatic relaxation, Intelligent Data Analysis 13(1), pp. 109-133, IOS Press, 2009. Paper. | |
| Plantevit M., Charnois T., Kléma J., Rigotti C., Crémilleux B. Combining Sequence and Itemset Mining to Discover Named Entities in Biomedical Texts: A New Type of Pattern, Int. J. of Data Mining, Modelling and Management 1(2), pp. 119-148, Inderscience, 2009. Paper. | |
| Plantevit M., Crémilleux B. Condensed Representation of Sequential Patterns according to Frequency-based Measures, 8th International Symposium on Intelligent Data Analysis (IDA 2009), Lecture Notes in Computer Science, N. 5772, Springer, pp. 155-166 , Lyon, France, September 2009. Paper. | |
| Poezvara G., Cuissart B., Crémilleux B. Discovering Emerging Graph Patterns from Chemical, 18th International Symposium on Methodologies for Intelligent Systems (ISMIS 2009), Lecture Notes in Artificial Intelligence, N. 5522, Springer, pp. 45-55, Prague, Czech Republic, September 2009. | |
| Khiari M., Boizumault P., Crémilleux Local Constraint-Based Mining and Set Constraint Programming for Pattern Discovery, proceedings of the International Workshop From Local Patterns to Global Models co-located with ECML/PKDD 2009, pp. 61-76, Bled, Slovenia, September 2009. | |
| Crémilleux B., Soulet A., Klema J., Hébert C., Gandrillon O. Discovering Knowledge from Local Patterns in SAGE data, in Data Mining and Medical Knowledge Management: Cases and Applications, IGI Global publications, pp. 251-267, 2009. | |
| Kléma J., Zelezny F., Trajkovski I., Karel F., Crémilleux B., Tolar J., Gene Expression Data Mining Guided by Genomic Background Knowledge, in Data Mining and Medical Knowledge Management: Cases and Applications, IGI Global publications, pp. 251-267, 2009. | |
| Ben Othman L., Rioult F., Ben Yahia S., Crémilleux B. Missing Values: Proposition of a Typology and Characterization with an Association Rule-based Model, 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), Lecture Notes in Computer Science, N. 5691, Springer, pp. 441-452, Linz, Austria, September 2009. Paper. | |
| Soulet A., Crémilleux B. Adequate Condensed Representations of Patterns, Data Mining and Knowledge Discovery 17(1), pp. 94-110, Springer, 2008. Paper. | |
| Knobbe A., Crémilleux B., Fürnkranz J., Scholz M. From Local Patterns to Global Models: The LeGo Approach to Data Mining, proceedings of the International Workshop From Local Patterns to Global Models co-located with ECML/PKDD 2008, pp. 1-16, Antwerp, Belgium, September 2008. | |
| Crémilleux B., Soulet A. Discovering Knowledge from Local Patterns with Global Constraints, 8th International Conference on Computational Science and Applications (ICCSA 2008), Lecture Notes in Computer Science, N. 5073, Springer, pp. 1242-1257, Perugia, Italy, June 2008. Paper. | |
| Kléma, J., Blachon, S., Soulet, A., Crémilleux, B., Gandrilon, O. Constraint-Based Knowledge Discovery from SAGE Data, In Silico Biology, 8(0014), 2008. Paper. | |
| Rioult F., Zanuttini B., Crémilleux B. Apport de la négation pour la classification supervisée à l'aide d'associations, actes de la conférence francophone sur l'apprentissage automatique (CAp 2008), Cépaduès, pp. 183-196, Porquerolles France, mai 2008. | |
| Soulet A., Kléma J., Crémilleux B. Efficient Mining under Rich Constraints Derived from Various Datasets, in Knowledge Discovery in Inductive Databases: KDID 2006, Lecture Notes in Computer Science, N. 4747, pp. 223-239, Springer, 2007. | |
| Rioult F., Crémilleux B. Mining Correct Properties in Incomplete Databases, in Knowledge Discovery in Inductive Databases: KDID 2006, Lecture Notes in Computer Science, N. 4747, pp. 208-222, Springer, 2007. | |
| Hébert C., Crémilleux B. A Unified View of Objective Interestingness Measures, 5th International conference on Machine Learning and Data Mining (MLDM 2007), Lecture Notes in Artificial Intelligence, N. 4571, pp. 533-547, Springer-Verlag, Leipzig, Germany, July 2007. Paper. | |
| Hébert C., Bretto A., Crémilleux B. A data mining formalization to improve hypergraph transversal computation, Fundamenta Informaticae, IOS Press, 80(4), pp. 415-433, 2007. | |
| Zérida N., Lucas N., Crémilleux B. Exclusion-Inclusion based Text Categorization of Biomedical Articles, 7th ACM Symposium on Document Engineering (DocEng 2007), pp. 202-204, ACM Press, Winnipeg, Canada, August 2007. | |
| Soulet A., Crémilleux B. Extraction des Top-k Motifs par Approximer-et-Pousser, 7èmes journées d'Extraction et de Gestion des Connaissances (EGC 2007), Cépaduès-Editions, pp. 271-282, Namur, Belgique, janvier 2007. | |
| Durand N., Crémilleux B., Suzuki E. Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery, 16th International Symposium on Methodologies for Intelligent Systems (ISMIS 2006), Lecture Notes in Artificial Intelligence, N. 4203, pp. 47-57, Springer-Verlag, Bari, Italy, September 2006. | |
| Hébert C., Crémilleux B. Optimized Rule Mining Through a Unified Framework for Interestingness Measures, 8th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2006), Lecture Notes in Artificial Intelligence, N. 4081, pp. 238-247, Springer-Verlag, Krakow, Poland, September 2006. | |
| Zérida N., Lucas N., Crémilleux B. Combining Linguistic and Structural Descriptors for Mining Biomedical Literature, 6th ACM Symposium on Document Engineering (DocEng 2006), pp. 62-64, ACM Press, Amsterdam, The Netherlands, October 2006. | |
| Kléma J., Soulet A., Crémilleux B., Blachon S., Gandrillon O. Mining Plausible Patterns from Genomic Data, 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), pp. 183-188, IEEE Computer Society Press, Salt Lake City, Utah, June 2006. | |
| Hébert F., Crémilleux B. Obtention de règles optimisant un ensemble de mesures, Conférence Apprentissage (CAp 2006), pp. 1-16, Presses Universitaires de Grenoble, Trégastel, France, mai 2006. Best paper. | |
| Rioult F., Crémilleux B. Extraction de propriétés correctes dans des bases de données incomplètes, Conférence Apprentissage (CAp 2006), pp. 347-362, Presses Universitaires de Grenoble, Trégastel, France, mai 2006. | |
| Soulet A., Crémilleux B. Exploiting Virtual Patterns for Automatically Pruning the Search Space, in Knowledge Discovery in Inductive Databases: KDID 2005, Lecture Notes in Computer Science, N. 3933, pp. 202-221, Springer, 2006. | |
| Soulet A., Crémilleux B. Optimizing Constraint-Based Mining by Automatically Relaxing Constraints, 5th IEEE International Conference on Data Mining (ICDM 2005), pp. 777-780, IEEE Computer Society Press, Houston, Texas, USA, November 2005. | |
| Hébert C., Crémilleux B. Mining Frequent Delta-Free Patterns in Large Databases, 8th International Conference on Discovery Science (DS 2005), Lecture Notes in Artificial Intelligence, N. 3735, pp. 124-136, Springer-Verlag, Singapore, Republic of Singapore, October 2005. | |
| Hébert C., Blachon S., Crémilleux B. Mining delta-strong characterization rules in large SAGE data, proceedings of the ECML/PKDD 2005 Discovery Challenge on gene expression data co-located with ECML/PKDD 2005, pp. 90-101, Porto, Portugal, October 2005. | |
| Soulet A., Crémilleux B. An Efficient Framework for Mining Flexible Constraints, 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2005), Lecture Notes in Computer Science, N. 3518, pp. 661-671, Springer, Hanoi, Vietnam, May 2005. Best paper. | |
| Soulet A., Crémilleux B., Rioult F. Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures, in Knowledge Discovery in Inductive Databases: KDID 2004, Lecture Notes in Computer Science, N. 3377, Springer, pp. 173-190, 2005. | |
| Lucas N., Crémilleux B. Fouille de textes hiérarchisée, appliquée à la détection de fautes, Revue Document Numérique, 2004. | |
| Soulet A., Crémilleux B., Rioult F. Condensed Representation of Emerging Patterns, 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2004), Lecture Notes in Computer Science, N. 3056, pp. 127-132, Springer, Sydney, Australia, May 2004. | |
| Rioult F., Crémilleux B. Représentation condensée en présence de valeurs manquantes, 22ème Congrès INFORSID, pp. 301-318, Biarritz, France, mai 2004. | |
| Besson J., Rioult F., Crémilleux B., Rome S., Boulicaut J-F. Solutions pour le calcul d'ensembles fréquents dans des données biopuces, chapitre de "Informatique pour l'analyse du transcriptome, pp. 231-254, Hermès Science, traité IC2, 2004. | |
| Soulet A., Crémilleux B., Rioult F. Représentations condensées de motifs émergents, 4èmes journées d'Extraction et de Gestion des Connaissances (EGC 2004), Revue des Nouvelles Technologies de l'Information, Cépaduès-Editions, pp. 265-276, Clermont-Ferrand, France, janvier 2004. | |
| Crémilleux B. Contributions aux usages de représentations condensées de motifs dans des processus d'extraction de connaissances dans les bases de données, Habilitation à Diriger des Recherches, Université de Caen Basse-Normandie, 2004 | |
| Rioult F., Crémilleux B. Condensed Representations in Presence of Missing Values, proceedings of the 5th International Conference on Intelligent Data Analysis (IDA 2003), Lecture Notes in Computer Science, N. 2810, pp. 578-588, Springer, Berlin, Germany, August 2003. Paper. | |
| Rioult F., Boulicaut J-F., Crémilleux B., Besson J. Using transposition for pattern discovery from microarray data, Workshop on Research Issues in Data Mining and Knowledge Discovery co-located with the 8th ACM SIGMOD, pp. 73-79, San Diego (USA), June 2003. | |
| Rioult F., Crémilleux B. Optimisation d'extraction de motifs : une nouvelle méthode fondée sur la transposition de données Conférence Apprentissage (CAp 2003), Presses Universitaires de Grenoble, pp. 299-313, Laval, France, juillet 2003. | |
| Durand N., Lancieri, L., Crémilleux B. Recommendation system based on the discovery of meaningful categorical clusters, proceedings of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems, (KES 2003), Lectures Notes in Artificial Intelligence, N. 2773, pp. 857-863, Springer-Verlag, Oxford, United Kingdom, September 2003. | |
| Lucas N., Crémilleux B., Turmel L. Signalling well-written academic articles in an English corpus by text mining techniques, proceedings of the Corpus Linguistics 2003 conference, UCREL technical papers, vol. 16 (special issue), pp. 465-474, Lancaster, United-Kingdom, March 2003. | |
| Crémilleux B., Soulet, A., Rioult F. Mining the Strongest Emerging Patterns Characterizing Patients Affected by Diseases due to Atherosclerosis, proceedings of the PKDD 2003 Discovery Challenge on risk factors of patients with atherosclerosis co-located with ECML/PKDD 2003, pp. 59-70, Dubrovnik, Croatia, September 2003. Paper. | |
| Rioult F., Robardet C., Blachon S., Crémilleux B., Gandrillon O. Boulicaut J-F. Mining Concepts from Large SAGE Gene Expression Matrices, proceedings of the second International Workshop on Knowledge Discovery in Inductive Databases co-located with ECML/PKDD 2003, pp. 107-118, Dubrovnik, Croatia, September 2003. | |
| Crémilleux B., Boulicaut J-F. Simplest Rules Characterizing Classes Generated by delta-Free Sets, proceedings of the twenty-second Annual International Conference Knowledge Based Systems and Applied Artificial Intelligence (ES 02) (ES 02), Springer, pp. 33-46, Cambridge, United-Kingdom, December 2002. | |
| Durand N., Crémilleux B., ECCLAT: a new approach of clusters discovery in categorical data, proceedings of the twenty-second Annual International Conference Knowledge Based Systems and Applied Artificial Intelligence (ES 2002), pp. 177-190, Springer, Cambridge, United-Kingdom, December 2002. | |
| Crémilleux B., Boulicaut J-F. Utilisation de règles delta-fortes pour caractériser des classes, In: Actes du 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle RFIA 2002, pp. 685-694, Angers, France, janvier 2002. | |
| Cuissart B., Touffet F., Crémilleux B., Bureau R., Rault S., The Maximum Common Substructure as a Molecular Depiction in a Supervised Classification Context: Experiments in Quantitative Structure/Biodegradability Relationships, Journal of Chemical Information and Computer Sciences 42, pp. 1043-1052, 2002. | |
| Fournier D., Crémilleux B. A Quality Index for Decision Tree Pruning, Knowledge-Based Systems 15, Elsevier, pp. 37-43, 2002. | |
| Crémilleux B., Durand N. Search for factors estimating the stage of liver fibrosis based on the discovery of meaningful clusters, proceedings of the PKDD 02 Discovery Challenge on Hepatitis Data co-located with ECML/PKDD 2002, ISBN 952-10-0639-0, Helsinki, Finland, August 2002. Paper. | |
| Robardet C., Crémilleux B., Boulicaut J-F. Characterization of unsupervised clusters with the simplest association rules: application for child's meningitis, Seventh Int. Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology (IDAMAP 2002) co-located with the Fifteen European Conference on Artificial Intelligence, ECAI 02, pp. 61-66, Lyon, France, July 2002. | |
| Durand N., Crémilleux B. Extraction of a Subset of Concepts from the Frequent Closed Itemset Lattice: A New Approach of Meaningful Clusters Discovery, Int. Workshop on Advances in Formal Concept Analysis for Knowledge Discovery in Databases (FCAKDD) co-located with the Fifteen European Conference on Artificial Intelligence, ECAI 2002, pp. 24-25, Lyon, France, July 2002. | |
| Boulicaut J-F., Crémilleux B. Delta-strong classification rules for predicting collagen diseases, In: Proceedings of the PKDD 2001 Discovery Challenge on Thrombosis Data co-located with ECML/PKDD 2001, pp. 29-38, Freiburg, Germany, September 2001. Paper. | |
| Boulicaut J-F., Crémilleux B. Delta-strong classification rules for characterizing chemical carcinogens, In: Proceedings of the Predictive Toxicology Challenge for 2000-2001 co-located with ECML/PKDD 2001, Freiburg, Germany, September 2001. Paper. | |
| Cuissart B., Touffet F., Crémilleux B., Hébrard J. J. Relevance of Molecular Similarities Based on the Maximum Common Substructure, In: Proceedings of the Sixth Int. Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 2001) co-located with the Tenth World Congress on Health and Medical Informatics Medinfo 01, pp. 16-20, London, UK, September 2001. | |
| Durand N., Crémilleux B., Henry-Amar, M. Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin's Disease, Eighth Conference on Artificial Intelligence in Medecine in Europe (AIME 2001), S. Quaglini, P. Barahona & S. Andreassen (Eds.), Lecture Notes in Artificial Intelligence, N. 2101, pp. 50-54, Springer-Verlag, Cascais, Portugal, July 2001. | |
| Crémilleux B., Gaio M., Madelaine J., Zreik K. Discovering browsing paths on the web, Third International Conference on Human-System Learning, pp. 9-18, Europia Edition, Paris, France, December 2000. | |
| Crémilleux B. Decision Trees as a Data Mining Tool, Computing and Information Systems 7(3), pp. 91-97, 2000. | |
| Crémilleux B., Robert C. Use of Attribute Selection Criteria in Decision Trees in Uncertain Domains, Uncertainty in Intelligent and Information Systems, Advances in Fuzzy Systems, Applications and Theory, vol. 20, B. Bouchon-Meunier, R. R. Yager and L. A. Zadeh (Eds.), pp. 150-161, World Scientific, 2000. | |
| Fournier D., Crémilleux B. Using Impurity and Depth for Decision Trees Pruning, Second International ICSC Symposium on Engineering of Intelligent Systems (EIS 2000), pp. 320-326, Paisley, UK, June 2000. | |
| Ragel A., Crémilleux B. MVC - A Preprocessing Method to Deal with Missing Values, Knowledge-Based Systems 12, pp. 285-291, Elsevier, 1999. | |
| Ragel A., Crémilleux B. Treatment of Missing Values for Association Rules, Second Pacific Asia Conference on KDD (PAKDD 1998), X. Wu, R. Kotagiri & K. B. Korb (Eds.), Lecture Notes in Artificial Intelligence, N. 1394, pp. 258-270, Springer-Verlag, Melbourne, Australia, April 1998. | |
| Michel G., Lambert J-L., Crémilleux B., Henry-Amar M. A New Way to Build Oblique Decision Trees Using Linear Programming, 6th conference of the International Federation of Classification (IFCS 1998), A. Rizzi, M. Vichi & H. H. Bock (Eds.), pp. 303-309, Advances in Data Science and Classification, Rome, Italy, July 1998. | |
| Crémilleux B., Robert C. A Theoretical Framework for Decision Trees in Uncertain Domains: Application to Medical Data Sets, 6th Conference on Artificial Intelligence in Medicine Europe (AIME 1997), E. Keravnou, C. Garbay, R. Baud & J. Wyatt (Eds.), Lecture Notes in Artificial Intelligence, N. 1211, pp. 145-156, Springer-Verlag, Grenoble, France, March 1997. | |
| Crémilleux B. Classification interactive, Apprentissage par l'interaction, Édition Europia, pp. 207-239, Paris, 1997. Paper. | |
| Crémilleux B. Induction automatique : aspects théoriques, le système ARBRE, applications en médecine. Thèse de l'Université Joseph Fourier (Grenoble 1), 1991. |