An Approach Based on Bayesian Networks for Query Selectivity Estimation. - Max Halford; Philippe Saint-Pierre; Franck Morvan (DASFAA (2), 2019)

Selectivity correction with online machine learning. - Max Halford; Philippe Saint-Pierre; Franck Morvan (CoRR, 2020)

Selectivity Estimation with Attribute Value Dependencies Using Linked Bayesian Networks. - Max Halford; Philippe Saint-Pierre; Franck Morvan (Trans. Large Scale Data Knowl. Centered Syst., 2020)

Statistical learning for selectivity estimation in relational databases. (Apprentissage statistique pour l'estimation de sélectivité en bases de données relationnelles). - Max Halford (2020)

River: machine learning for streaming data in Python. - Jacob Montiel; Max Halford; Saulo Martiello Mastelini; Geoffrey Bolmier; Raphaël Sourty; Robin Vaysse; Adil Zouitine; Heitor Murilo Gomes; Jesse Read; Talel Abdessalem; Albert Bifet (J. Mach. Learn. Res., 2021)

StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. - Mariam Barry; Jacob Montiel; Albert Bifet; Sameer Wadkar; Nikolay Manchev; Max Halford; Raja Chiky; Saad El Jaouhari; Katherine B. Shakman; Joudi Al Fehaily; Fabrice Le Deit; Vinh-Thuy Tran; et al. (ICDE, 2023)

SWINN: Efficient nearest neighbor search in sliding windows using graphs. - Saulo Martiello Mastelini; Bruno Veloso; Max Halford; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Inf. Fusion, 2024)

DeepRiver: A Deep Learning Library for Data Streams. - Cedric Kulbach; Lucas Cazzonelli; Hoang-Anh Ngo; Max Halford; Saulo Martiello Mastelini (J. Open Source Softw., 2025)