基本信息
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职业迁徙
个人简介
I am a research scientist with the Machine Learning group in Orange Labs (France T閘閏om R&D). My main interest is machine learning and data mining, especially data preparation and modelling for large databases.
Academic Journals
D. Lahbib, M. Boull, D. Laurent. Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining. Advances in Knowledge Discovery and Management (AKDM-4), 527:95-109, 2014. details
M. Boull, R. Guigour鑣, F. Rossi. Nonparametric Hierarchical Clustering of Functional Data. Advances in Knowledge Discovery and Management (AKDM-4), 527:15-35, 2014. details
D. Gay, M. Boull. A Bayesian criterion for evaluating the robustness of classification rules in binary data sets. Advances in Knowledge Discovery and Management (AKDM-3), 471:3-21, 2013. details
M. Boull. Functional data clustering via piecewise constant nonparametric density estimation. Pattern Recognition, 45(12):4389-4401, 2012. details
M. Boull. Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes. Advances in Knowledge Discovery and Management (AKDM-2), 398:105-119, 2011. details
S. Ferrandiz, M. Boull. Bayesian instance selection for the nearest neighbor rule. Machine Learning, 81(3):229-256, 2010. details
N. Voisine, M. Boull, C. Hue. A Bayes Evaluation Criterion for Decision Trees. Advances in Knowledge Discovery and Management (AKDM-1), 292:21-38, 2010. details
A. Bondu, M. Boull, V. Lemaire. A Non-parametric Semi-supervised Discretization Method. Knowledge and Information Systems, 24(1):35-57, 2009. details
D. Poirier, F. Fessant, C. Bothorel, E. Guimier de Neef, M. Boull. Approches Statistique et Linguistique Pour la Classification de Textes d扥pinion Portant sur les Films. Revue des Nouvelles Technologies de l'Information (RNTI) Fouille de Donn閑s d'opinion, E17:147-169, 2009. details
I. Guyon, V. Lemaire, M. Boull, G. Dror, D. Vogel. Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. JMLR: Workshop and Conference Proceedings, 7:1-22, 2009.
研究兴趣
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ECML/PKDD (5) (2023): 239-254
Computational Statistics & Data Analysis (2023): 107668
CoRR (2023)
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ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2021, PT I (2021): 804-816
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