Identifying Genetic Variant Combinations Using Skypatterns. - Hoang-Son Pham; Dominique Lavenier; Alexandre Termier (DEXA Workshops, 2016)

Novel Pattern Mining Techniques for Genome-wide Association Studies. (Nouvelles techniques d'extraction de motifs pour l'étude d'association à l'échelle du génome). - Hoang-Son Pham (2017)

Statistically Significant Discriminative Patterns Searching. - Hoang-Son Pham; Gwendal Virlet; Dominique Lavenier; Alexandre Termier (DaWaK, 2019)

Mining Patterns in Source Code Using Tree Mining Algorithms. - Hoang-Son Pham; Siegfried Nijssen; Kim Mens; Dario Di Nucci; Tim Molderez; Coen De Roover; Johan Fabry; Vadim Zaytsev (DS, 2019)

A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns. - Dario Di Nucci; Hoang-Son Pham; Johan Fabry; Coen De Roover; Kim Mens; Tim Molderez; Siegfried Nijssen; Vadim Zaytsev (SATToSE, 2019)

The good, the bad, and the ugly: mining for patterns in student source code. - Kim Mens; Siegfried Nijssen; Hoang-Son Pham (EASEAI@ESEC/SIGSOFT FSE, 2021)

A Metadata-Based Approach for Research Discipline Prediction Using Machine Learning Techniques and Distance Metrics. - Hoang-Son Pham; Hanne Poelmans; Amr Ali-Eldin (IEEE Access, 2023)

Identifying interdisciplinary research in research projects. - Hoang-Son Pham; Bram Vancraeynest; Hanne Poelmans; Sadia Vancauwenbergh; Amr Ali-Eldin (Scientometrics, 2023)

A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques. - Bram Vancraeynest; Hoang-Son Pham; Amr Ali-Eldin (J. Informetrics, 2024)