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ORCIDBruno Crémilleux
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- affiliation: Université de Caen Normandie, France
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2020 – today
- 2024
[j27]Etienne Lehembre, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Abdelkader Ouali:
WaveLSea: helping experts interactively explore pattern mining search spaces. Data Min. Knowl. Discov. 38(4): 2403-2439 (2024)- [c88]Djawad Bekkoucha, Abdelkader Ouali, Patrice Boizumault, Bruno Crémilleux:
Efficiently Mining Closed Interval Patterns with Constraint Programming. CPAIOR (1) 2024: 51-67 - 2023
- [j26]Etienne Lehembre, Johanna Giovannini, Damien Geslin, Alban Lepailleur, Jean Luc Lamotte, David Auber, Abdelkader Ouali, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Ronan Bureau
:
Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. J. Cheminformatics 15(1): 116 (2023) - [c87]Maksim Koptelov, Margaux Holveck, Bruno Crémilleux, Justine Reynaud, Mathieu Roche, Maguelonne Teisseire:
Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language. DSAA 2023: 1-10 - [c86]Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann:
Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré. EGC 2023: 103-114 - [c85]Mina Rafla, Nicolas Voisine, Bruno Crémilleux, Marc Boullé:
Une approche bayésienne non paramétrique de sélection de variables pour la modélisation de l'uplift. EGC 2023: 523-530 - [c84]Mina Rafla, Nicolas Voisine, Bruno Crémilleux:
Parameter-Free Bayesian Decision Trees for Uplift Modeling. PAKDD (2) 2023: 309-321 - [e3]Bruno Crémilleux, Sibylle Hess, Siegfried Nijssen:
Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13876, Springer 2023, ISBN 978-3-031-30046-2 [contents] - 2022
- [c83]Mina Rafla, Nicolas Voisine, Bruno Crémilleux:
Evaluation de l'uplift sur des données biaisées dans le cas du Non-Random Assignment. EGC 2022: 51-62 - [c82]Etienne Lehembre, Jean Luc Lamotte, Christophe Couronne, Bruno Crémilleux, Jean-Luc Manguin, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann:
Identification de concepts remarquables à partir de leur voisinage dans un treillis. EGC 2022: 473-474 - [c81]Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart, Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann:
Selecting Outstanding Patterns Based on Their Neighbourhood. IDA 2022: 185-198 - [c80]Mina Rafla, Nicolas Voisine, Bruno Crémilleux:
Evaluation of Uplift Models with Non-Random Assignment Bias. IDA 2022: 251-263 - [c79]Arnaud Soulet, François Rioult, Bruno Crémilleux:
A Condensed Survey on Condensed Representations of Patterns. KDID 2022: 1-16 - [c78]Mina Rafla, Nicolas Voisine, Bruno Crémilleux, Marc Boullé:
A Non-parametric Bayesian Approach for Uplift Discretization and Feature Selection. ECML/PKDD (5) 2022: 239-254 - 2021
- [j25]Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Fatima Soualmia:
LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks. Appl. Netw. Sci. 6(1): 72 (2021) - 2020
- [c77]David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon:
Using Data Science to Improve the Identification of Plant Nutritional Status. DSAA 2020: 496-505 - [c76]Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Soualmia:
Link prediction via community detection in bipartite multi-layer graphs. SAC 2020: 430-439 - [p3]Pierre Gançarski, Thi-Bich-Hanh Dao, Bruno Crémilleux, Germain Forestier, Thomas Andrew Lampert:
Constrained Clustering: Current and New Trends. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 447-484
2010 – 2019
- 2019
- [c75]Willy Ugarte, Samir Loudni, Patrice Boizumault, Bruno Crémilleux, Alexandre Termier:
Compressing and Querying Skypattern Cubes. IEA/AIE 2019: 406-421 - [c74]Xin Huang, Cecilia Zanni-Merk, Bruno Crémilleux:
Enhancing Deep Learning with Semantics: an application to manufacturing time series analysis. KES 2019: 437-446 - 2018
- [j24]Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski:
Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. 32(6): 1663-1707 (2018) - [c73]Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann:
An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. CICLing (1) 2018: 180-192 - [c72]Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux:
Link Prediction in Multi-layer Networks and Its Application to Drug Design. IDA 2018: 175-187 - [c71]Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux:
PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. KDD 2018: 462-471 - [c70]Bruno Crémilleux, Arnaud Giacometti, Arnaud Soulet:
How Your Supporters and Opponents Define Your Interestingness. ECML/PKDD (1) 2018: 373-389 - [c69]Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux:
Mining Periodic Patterns with a MDL Criterion. ECML/PKDD (2) 2018: 535-551 - [c68]Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann:
Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse). CORIA-TALN-RJC (TALN 2) 2018: 465-472 - [e2]Bruno Pinaud, Fabrice Guillet, Bruno Crémilleux, Cyril de Runz:
Advances in Knowledge Discovery and Management - Volume 7 [Best of EGC 2016,Reims, France]. Studies in Computational Intelligence 732, Springer 2018, ISBN 978-3-319-65405-8 [contents] - [i3]Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux:
Mining Periodic Patterns with a MDL Criterion. CoRR abs/1807.01706 (2018) - 2017
- [j23]Willy Ugarte, Patrice Boizumault, Bruno Crémilleux, Alban Lepailleur, Samir Loudni, Marc Plantevit, Chedy Raïssi, Arnaud Soulet:
Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems. Artif. Intell. 244: 48-69 (2017) - [c67]Sovann En, Bruno Crémilleux, Frédéric Jurie:
Unsupervised deep hashing with stacked convolutional autoencoders. ICIP 2017: 3420-3424 - [c66]Abdelkader Ouali, Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, Bruno Crémilleux, Patrice Boizumault, Lakhdar Loukil:
Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. PAKDD (2) 2017: 286-299 - 2016
- [c65]Gaël Lejeune, François Rioult, Bruno Crémilleux:
Highlighting Psychological Features for Predicting Child Interjections During Story Telling. INTERSPEECH 2016: 2056-2059 - [e1]Cyril de Runz, Bruno Crémilleux:
16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, 18-22 Janvier 2016, Reims, France. Revue des Nouvelles Technologies de l'Information E-30, Éditions RNTI 2016 [contents] - 2015
- [j22]Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirí Kléma, Jean-Luc Manguin:
Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. J. Biomed. Semant. 6: 27 (2015) - [j21]Jean-Philippe Métivier, Alban Lepailleur, Aleksey Buzmakov, Guillaume Poezevara, Bruno Crémilleux, Sergei O. Kuznetsov, Jérémie Le Goff, Amedeo Napoli, Ronan Bureau, Bertrand Cuissart:
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns. J. Chem. Inf. Model. 55(5): 925-940 (2015) - [j20]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur:
Soft constraints for pattern mining. J. Intell. Inf. Syst. 44(2): 193-221 (2015) - [c64]Bruno Crémilleux, Arnaud Giacometti, Arnaud Soulet:
Qualité et complexité en évaluation des mesures d'intérêt. EGC 2015: 335-346 - [c63]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux:
Modeling and Mining Optimal Patterns Using Dynamic CSP. ICTAI 2015: 33-40 - [c62]Bamba Kane, Bertrand Cuissart, Bruno Crémilleux:
Minimal Jumping Emerging Patterns: Computation and Practical Assessment. PAKDD (1) 2015: 722-733 - [c61]Nicolas Béchet, Peggy Cellier, Thierry Charnois, Bruno Crémilleux:
Sequence mining under multiple constraints. SAC 2015: 908-914 - 2014
- [j19]Winn Voravuthikunchai, Bruno Crémilleux, Frédéric Jurie:
Image re-ranking system based on closed frequent patterns. Int. J. Multim. Inf. Retr. 3(4): 231-244 (2014) - [j18]Mathieu Roche, Maguelonne Teisseire, Bruno Crémilleux, Pierre Gançarski, Christian Sallaberry:
ANIMITEX. Analyse d'images fondée sur des informations textuelles. Ingénierie des Systèmes d Inf. 19(3): 163-167 (2014) - [j17]Nicolas Béchet, Peggy Cellier, Thierry Charnois, Bruno Crémilleux:
Fouille de motifs séquentiels pour la découverte de relations entre gènes et maladies rares. Rev. d'Intelligence Artif. 28(2-3): 245-270 (2014) - [c60]Willy Ugarte Rojas, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur:
Mining (Soft-) Skypatterns Using Dynamic CSP. CPAIOR 2014: 71-87 - [c59]Winn Voravuthikunchai, Bruno Crémilleux, Frédéric Jurie:
Histograms of Pattern Sets for Image Classification and Object Recognition. CVPR 2014: 224-231 - [c58]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux:
Computing Skypattern Cubes. ECAI 2014: 903-908 - [c57]Pierre Holat, Marc Plantevit, Chedy Raïssi, Nadi Tomeh, Thierry Charnois, Bruno Crémilleux:
Sequence Classification Based on Delta-Free Sequential Patterns. ICDM 2014: 170-179 - [c56]Amina Kemmar, Willy Ugarte, Samir Loudni, Thierry Charnois, Yahia Lebbah, Patrice Boizumault, Bruno Crémilleux:
Mining Relevant Sequence Patterns with CP-Based Framework. ICTAI 2014: 552-559 - [c55]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux:
Computing Skypattern Cubes Using Relaxation. ICTAI 2014: 859-866 - [c54]Winn Voravuthikunchai, Bruno Crémilleux, Frédéric Jurie:
Image re-ranking based on statistics of frequent patterns. ICMR 2014: 129 - 2013
- [j16]Loïc Cerf, Dominique Gay, Nazha Selmaoui-Folcher, Bruno Crémilleux, Jean-François Boulicaut:
Parameter-free classification in multi-class imbalanced data sets. Data Knowl. Eng. 87: 109-129 (2013) - [c53]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur:
Mining (Soft-) Skypatterns Using Constraint Programming. EGC (best of volume) 2013: 105-136 - [c52]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur:
Découverte des soft-skypatterns avec une approche PPC. EGC 2013: 217-228 - [p2]Bertrand Cuissart, Guillaume Poezevara, Bruno Crémilleux, Alban Lepailleur, Ronan Bureau:
Emerging Patterns as Structural Alerts for Computational Toxicology. Contrast Data Mining 2013: 269-282 - 2012
- [c51]Winn Voravuthikunchai, Bruno Crémilleux, Frédéric Jurie:
Finding Groups of Duplicate Images In Very Large Dataset. BMVC 2012: 1-12 - [c50]Nicolas Béchet, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Marie-Christine Jaulent:
Sequential pattern mining to discover relations between genes and rare diseases. CBMS 2012: 1-6 - [c49]Nicolas Béchet, Peggy Cellier, Thierry Charnois, Bruno Crémilleux:
Discovering Linguistic Patterns Using Sequence Mining. CICLing (1) 2012: 154-165 - [c48]Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux:
Soft Threshold Constraints for Pattern Mining. Discovery Science 2012: 313-327 - [c47]Nicolas Béchet, Peggy Cellier, Thierry Charnois, Bruno Crémilleux:
Fouille de motifs séquentiels pour la découverte de relations entre gènes et maladies rares. IC 2012: 149-164 - [c46]Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni:
Constrained Clustering Using SAT. IDA 2012: 207-218 - [c45]Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni:
A constraint language for declarative pattern discovery. SAC 2012: 119-125 - 2011
- [j15]Guillaume Poezevara, Bertrand Cuissart, Bruno Crémilleux:
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs. J. Intell. Inf. Syst. 37(3): 333-353 (2011) - [j14]Leila Ben Othman, François Rioult, Sadok Ben Yahia, Bruno Crémilleux:
Base de caractérisation des valeurs manquantes. Tech. Sci. Informatiques 30(10): 1247-1270 (2011) - [c44]Marc Plantevit, Chedy Raïssi, Bruno Crémilleux:
Motifs séquentiels delta-libres. EGC 2011: 35-46 - [c43]Arnaud Soulet, Chedy Raïssi, Marc Plantevit, Bruno Crémilleux:
Mining Dominant Patterns in the Sky. ICDM 2011: 655-664 - [c42]Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni:
A Constraint-Based Language for Declarative Pattern Discovery. ICDM Workshops 2011: 1112-1119 - [c41]Arnaud Soulet, Bruno Crémilleux, Marc Plantevit:
Summarizing Contrasts by Recursive Pattern Mining. ICDM Workshops 2011: 1155-1162 - [c40]Mehdi Khiari, Patrice Boizumault, Bruno Crémilleux:
A Generic Approach for Modeling and Mining n-ary Patterns. ISMIS 2011: 300-305 - [i2]Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni, Jean-Philippe Métivier:
Discovering Knowledge using a Constraint-based Language. CoRR abs/1107.3407 (2011) - 2010
- [j13]Sylvain Lozano, Guillaume Poezevara, Marie-Pierre Halm-Lemeille, Elodie Lescot-Fontaine, Alban Lepailleur, Ryan Bissell-Siders, Bruno Crémilleux, Sylvain Rault, Bertrand Cuissart, Ronan Bureau:
Introduction of Jumping Fragments in Combination with QSARs for the Assessment of Classification in Ecotoxicology. J. Chem. Inf. Model. 50(8): 1330-1339 (2010) - [c39]Mehdi Khiari, Patrice Boizumault, Bruno Crémilleux:
Constraint Programming for Mining n-ary Patterns. CP 2010: 552-567 - [c38]Mehdi Khiari, Patrice Boizumault, Bruno Crémilleux:
Combining Constraint Programming and Constraint-Based Mining for Pattern Discovery. EGC (best of volume) 2010: 85-103 - [c37]Mehdi Khiari, Patrice Boizumault, Bruno Crémilleux:
Allier CSPs et motifs locaux pour la découverte de motifs sous contraintes n-aires. EGC 2010: 199-210 - [c36]Ryan Bissell-Siders, Bertrand Cuissart, Bruno Crémilleux:
On the Stimulation of Patterns - Definitions, Calculation Method and First Usages. ICCS 2010: 56-69 - [c35]Mehdi Khiari, Patrice Boizumault, Bruno Crémilleux:
Combining CSP and Constraint-Based Mining for Pattern Discovery. ICCSA (2) 2010: 432-447 - [c34]Peggy Cellier, Thierry Charnois, Marc Plantevit, Bruno Crémilleux:
Recursive Sequence Mining to Discover Named Entity Relations. IDA 2010: 30-41 - [p1]François Rioult, Bruno Zanuttini, Bruno Crémilleux:
Nonredundant Generalized Rules and Their Impact in Classification. Advances in Intelligent Information Systems 2010: 3-25
2000 – 2009
- 2009
- [j12]Arnaud Soulet, Bruno Crémilleux:
Mining constraint-based patterns using automatic relaxation. Intell. Data Anal. 13(1): 109-133 (2009) - [j11]Marc Plantevit, Thierry Charnois, Jirí Kléma, Christophe Rigotti, Bruno Crémilleux:
Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern. Int. J. Data Min. Model. Manag. 1(2): 119-148 (2009) - [j10]Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux:
Sequential Data Mining for Information Extraction from Texts. Trait. Autom. des Langues 50(3): 59-87 (2009) - [c33]Leila Ben Othman, François Rioult, Sadok Ben Yahia, Bruno Crémilleux:
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model. DaWaK 2009: 441-452 - [c32]Marc Plantevit, Bruno Crémilleux:
Condensed Representation of Sequential Patterns According to Frequency-Based Measures. IDA 2009: 155-166 - [c31]Guillaume Poezevara, Bertrand Cuissart, Bruno Crémilleux:
Discovering Emerging Graph Patterns from Chemicals. ISMIS 2009: 45-55 - 2008
- [j9]Arnaud Soulet, Bruno Crémilleux:
Adequate condensed representations of patterns. Data Min. Knowl. Discov. 17(1): 94-110 (2008) - [j8]Jirí Kléma, Sylvain Blachon, Arnaud Soulet, Bruno Crémilleux, Olivier Gandrillon:
Constraint-Based Knowledge Discovery from SAGE Data. Silico Biol. 8(2): 157-175 (2008) - [c30]Bruno Crémilleux, Arnaud Soulet:
Discovering Knowledge from Local Patterns with Global Constraints. ICCSA (2) 2008: 1242-1257 - [c29]Arnaud Soulet, Bruno Crémilleux:
Adequate Condensed Representations of Patterns. ECML/PKDD (1) 2008: 20-21 - 2007
- [j7]Céline Hébert, Alain Bretto, Bruno Crémilleux:
A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation. Fundam. Informaticae 80(4): 415-433 (2007) - [c28]Nadia Zerida, Nadine Lucas, Bruno Crémilleux:
Exclusion-inclusion based text categorization of biomedical articles. ACM Symposium on Document Engineering 2007: 202-204 - [c27]Arnaud Soulet, Bruno Crémilleux:
Extraction des Top-k Motifs par Approximer-et-Pousser. EGC 2007: 271-282 - [c26]Céline Hébert, Bruno Crémilleux:
A Unified View of Objective Interestingness Measures. MLDM 2007: 533-547 - [c25]Céline Hébert, Alain Bretto, Bruno Crémilleux:
Optimizing hypergraph transversal computation with an anti-monotone constraint. SAC 2007: 443-444 - [i1]Bruno Crémilleux, Arnaud Soulet:
Discovering Knowledge from Local Patterns with Global Constraints. Parallel Universes and Local Patterns 2007 - 2006
- [c24]Jirí Kléma, Arnaud Soulet, Bruno Crémilleux, Sylvain Blachon, Olivier Gandrillon:
Mining Plausible Patterns from Genomic Data. CBMS 2006: 183-190 - [c23]Céline Hébert, Bruno Crémilleux:
Optimized Rule Mining Through a Unified Framework for Interestingness Measures. DaWaK 2006: 238-247 - [c22]Nadia Zerida, Nadine Lucas, Bruno Crémilleux:
Combining linguistic and structural descriptors for mining biomedical literature. ACM Symposium on Document Engineering 2006: 62-64 - [c21]Nicolas Durand, Bruno Crémilleux, Einoshin Suzuki:
Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. ISMIS 2006: 47-57 - [c20]François Rioult, Bruno Crémilleux:
Mining Correct Properties in Incomplete Databases. KDID 2006: 208-222 - [c19]Arnaud Soulet, Jirí Kléma, Bruno Crémilleux:
Efficient Mining Under Rich Constraints Derived from Various Datasets. KDID 2006: 223-239 - 2005
- [c18]Céline Hébert, Bruno Crémilleux:
Mining Frequent delta-Free Patterns in Large Databases. Discovery Science 2005: 124-136 - [c17]Arnaud Soulet, Bruno Crémilleux:
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints. ICDM 2005: 777-780 - [c16]Arnaud Soulet, Bruno Crémilleux:
Exploiting Virtual Patterns for Automatically Pruning the Search Space. KDID 2005: 202-221 - [c15]Arnaud Soulet, Bruno Crémilleux:
An Efficient Framework for Mining Flexible Constraints. PAKDD 2005: 661-671 - 2004
- [j6]Nadine Lucas, Bruno Crémilleux:
Fouille de textes hiérarchisée appliquée à la détection de fautes. Document Numérique 8(3): 107-133 (2004) - [j5]Jean-François Boulicaut, Bruno Crémilleux:
Introduction. Ingénierie des Systèmes d Inf. 9(3-4): 7-22 (2004) - [c14]Arnaud Soulet, Bruno Crémilleux, François Rioult:
Représentation condensée de motifs émergents. EGC 2004: 265-276 - [c13]François Rioult, Bruno Crémilleux:
Représentation condensée en présence de valeurs manquantes. INFORSID 2004: 301-317 - [c12]Arnaud Soulet, Bruno Crémilleux, François Rioult:
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures. KDID 2004: 173-190 - [c11]Arnaud Soulet, Bruno Crémilleux, François Rioult:
Condensed Representation of Emerging Patterns. PAKDD 2004: 127-132 - 2003
- [c10]François Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson:
Using transposition for pattern discovery from microarray data. DMKD 2003: 73-79 - [c9]Leny Turmel, Bruno Crémilleux, Nadine Lucas:
Extraction d'associations entre marqueurs linguistiques pour la caractérisation de fautes d'Anglais. EGC 2003: 551 - [c8]François Rioult, Bruno Crémilleux:
Condensed Representations in Presence of Missing Values. IDA 2003: 578-588 - [c7]François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut:
Mining Concepts from Large SAGE Gene Expression Matrices. KDID 2003: 107-118 - [c6]Nicolas Durand, Luigi Lancieri, Bruno Crémilleux:
Recommendation System Based on the Discovery of Meaningful Categorical Clusters. KES 2003: 857-863 - 2002