ConnectionLens: Finding Connections Across Heterogeneous Data Sources. - Camille Chanial; Rédouane Dziri; Helena Galhardas; Julien Leblay; Minh-Huong Le Nguyen; Ioana Manolescu (Proc. VLDB Endow., 2018)

Semi-supervised Learning over Streaming Data using MOA. - Minh-Huong Le Nguyen; Heitor Murilo Gomes; Albert Bifet (IEEE BigData, 2019)

Challenges of Stream Learning for Predictive Maintenance in the Railway Sector. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (IoT Streams/ITEM@PKDD/ECML, 2020)

Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (IEEE Big Data, 2022)

Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. - Jacob Montiel; Hoang-Anh Ngo; Minh-Huong Le Nguyen; Albert Bifet (KDD, 2022)

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning. - Cedric Kulbach; Lucas Cazzonelli; Hoang-Anh Ngo; Minh-Huong Le Nguyen; Albert Bifet (PKDD/ECML Workshops (1), 2023)

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. - Heitor Murilo Gomes; Maciej Grzenda; Rodrigo Fernandes de Mello; Jesse Read; Minh-Huong Le Nguyen; Albert Bifet (ACM Comput. Surv., 2023)

Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (Appl. Intell., 2023)