River: machine learning for streaming data in Python J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... Journal of Machine Learning Research 22 (110), 1--8, 2021 | 205 | 2021 |
Creme, a python library for online machine learning M Halford, G Bolmier, R Sourty, R Vaysse, A Zouitine | 26 | 2019 |
An Approach Based on Bayesian Networks for Query Selectivity Estimation M Halford, P Saint-Pierre, F Morvan International Conference on Database Systems for Advanced Applications, 3-19, 2019 | 18 | 2019 |
Entropic Variable Boosting for Explainability & Interpretability in Machine Learning F Bachoc, F Gamboa, JM Loubes, L Risser | 13* | 2018 |
Selectivity correction with online machine learning M Halford, P Saint-Pierre, F Morvan arXiv preprint arXiv:2009.09884, 2020 | 5 | 2020 |
Selectivity estimation with attribute value dependencies using linked bayesian networks M Halford, P Saint-Pierre, F Morvan Transactions on Large-Scale Data-and Knowledge-Centered Systems XLVI, 154-188, 2020 | 3 | 2020 |
Prince: Multivariate exploratory data analysis in Python M Halford https://github.com/MaxHalford/prince, 2016 | 3* | 2016 |
StreamMLOps: Online learning in practice from big data streams & real-time applications M Barry, J Montiel, A Bifet, N Manchev, S Wadkar, M Halford, R Chiky, ... 39th IEEE International Conference on Data Engineering, ICDE, 2023 | 2* | 2023 |
sorobn: Bayesian networks in Python M Halford https://github.com/MaxHalford/sorobn, 2020 | 2* | 2020 |
Target encoding done the right way M Halford https://maxhalford.github.io/blog/target-encoding, 2018 | 2 | 2018 |
SWINN: Efficient nearest neighbor search in sliding windows using graphs SM Mastelini, B Veloso, M Halford, ACP de Leon Ferreira, J Gama Information Fusion 101, 101979, 2024 | 1 | 2024 |
Apprentissage statistique pour l'estimation de sélectivité en bases de données relationnelles M Halford Institut de Mathématiques de Toulouse, 2020 | | 2020 |