| Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmark G Preud’Homme, K Duarte, K Dalleau, C Lacomblez, E Bresso, ... Scientific reports 11 (1), 4202, 2021 | 78 | 2021 |
| Machine learning-derived echocardiographic phenotypes predict heart failure incidence in asymptomatic individuals M Kobayashi, O Huttin, M Magnusson, JP Ferreira, E Bozec, AC Huby, ... Cardiovascular Imaging 15 (2), 193-208, 2022 | 68 | 2022 |
| Semantic integration of medication data into the EHOP Clinical Data Warehouse D Delamarre, G Bouzille, K Dalleau, D Courtel, M Cuggia Digital Healthcare Empowering Europeans, 702-706, 2015 | 36 | 2015 |
| PGxCorpus, a manually annotated corpus for pharmacogenomics J Legrand, R Gogdemir, C Bousquet, K Dalleau, MD Devignes, W Digan, ... Scientific data 7 (1), 3, 2020 | 30 | 2020 |
| Unsupervised extremely randomized trees K Dalleau, M Couceiro, M Smaïl-Tabbone Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 13 | 2018 |
| Learning from biomedical linked data to suggest valid pharmacogenes K Dalleau, Y Marzougui, S Da Silva, P Ringot, NC Ndiaye, A Coulet Journal of biomedical semantics 8, 1-12, 2017 | 13 | 2017 |
| Unsupervised extra trees: a stochastic approach to compute similarities in heterogeneous data K Dalleau, M Couceiro, M Smail-Tabbone International Journal of Data Science and Analytics 9, 447-459, 2020 | 9 | 2020 |
| Computing vertex-vertex dissimilarities using random trees: Application to clustering in graphs K Dalleau, M Couceiro, M Smail-Tabbone Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020 | 4 | 2020 |
| Suggesting valid pharmacogenes by mining linked data K Dalleau, NC Ndiaye, A Coulet Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2015, 2015 | 3 | 2015 |
| Exploration et analyses multi-objectifs de séries temporelles de données météorologiques. Y Per, K Dalleau, M Smaïl-Tabbone EGC, 427-438, 2018 | 1 | 2018 |
| A random tree-based approach to compute dissimilarities: an application to clustering on diverse data structures K Dalleau < bound method Organization. get_name_with_acronym of< Organization …, 2021 | | 2021 |
| Une approche stochastique à base d'arbres aléatoires pour le calcul de dissimilarités: application au clustering pour diverses structures de données.(A random tree-based … K Dalleau University of Lorraine, Nancy, France, 2021 | | 2021 |
| Clustering graphs using random trees K Dalleau, M Couceiro, M Smaïl-Tabbone | | 2019 |
| Les forêts d'arbres extrêmement aléatoires: utilisation dans un cadre non supervisé K Dalleau, M Couceiro, M Smaïl-Tabbone EGC 2019-19ème Conférence Francophone sur l'Extraction et Gestion des …, 2019 | | 2019 |
| Suggestion d’interactions gène-médicament à partir de données ouvertes et liées K Dalleau Université de Lorraine, 2017 | | 2017 |
| Multi-class classification for Prediction of tree diseases Y Per, K Dalleau, M Smaïl-Tabbone < bound method Organization. get_name_with_acronym of< Organization: Inria …, 2017 | | 2017 |
| Prédiction de défauts dans les arbres du parc végétal Grenoblois et préconisations pour les futures plantations Y Per, K Dalleau, M Smaïl-Tabbone EGC 2017-Extraction et Gestion des Connaissances, 237-248, 2017 | | 2017 |
| Using aggregation functions on structured data: a use case in the FIGHT-HF project K Dalleau, M Couceiro, MD Devignes, C Raïssi, M Smaïl-Tabbone International Symposium on Aggregation and Structures (ISAS 2016), 2016 | | 2016 |
| Intégration des données de prescription dans un entrepôt de données biomédicales. K Dalleau, D Delamarre, T Ledieu, M Cuggia JFIM, 59-70, 2014 | | 2014 |
