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2020 – today
- 2024
[j3]Bram Vancraeynest
, Hoang-Son Pham, Amr Ali-Eldin:
A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques. J. Informetrics 18(3): 101527 (2024)- 2023
- [j2]Hoang-Son Pham, Hanne Poelmans, Amr Ali-Eldin:
A Metadata-Based Approach for Research Discipline Prediction Using Machine Learning Techniques and Distance Metrics. IEEE Access 11: 61995-62012 (2023) - [j1]Hoang-Son Pham, Bram Vancraeynest, Hanne Poelmans, Sadia Vancauwenbergh, Amr Ali-Eldin:
Identifying interdisciplinary research in research projects. Scientometrics 128(10): 5521-5544 (2023) - 2021
- [c5]Kim Mens, Siegfried Nijssen, Hoang-Son Pham:
The good, the bad, and the ugly: mining for patterns in student source code. EASEAI@ESEC/SIGSOFT FSE 2021: 1-8
2010 – 2019
- 2019
- [c4]Hoang-Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier:
Statistically Significant Discriminative Patterns Searching. DaWaK 2019: 105-115 - [c3]Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev:
Mining Patterns in Source Code Using Tree Mining Algorithms. DS 2019: 471-480 - [c2]Dario Di Nucci, Hoang-Son Pham, Johan Fabry, Coen De Roover, Kim Mens, Tim Molderez, Siegfried Nijssen, Vadim Zaytsev:
A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns. SATToSE 2019 - [i1]Hoang-Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier:
Statistically Significant Discriminative Patterns Searching. CoRR abs/1906.01581 (2019) - 2017
- [b1]Hoang-Son Pham:
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). University of Rennes 1, France, 2017 - 2016
- [c1]Hoang-Son Pham, Dominique Lavenier, Alexandre Termier:
Identifying Genetic Variant Combinations Using Skypatterns. DEXA Workshops 2016: 44-48
Coauthor Index
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