Gabriel Laberge

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Literature Review

Machine Learning

Top Venues

Autom. Softw. Eng.

Publications

Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
Mining Action Rules for Defect Reduction Planning. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Moses Openja, Gabriel Laberge, Foutse Khomh
Detection and evaluation of bias-inducing features in machine learning. Empir. Softw. Eng. 29 (1) (2024)
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
Mining Action Rules for Defect Reduction Planning. CoRR (2024)
Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh
Tackling the XAI Disagreement Problem with Regional Explanations. AISTATS (2024)
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. CoRR (2023)
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
Fooling SHAP with Stealthily Biased Sampling. ICLR (2023)
Moses Openja, Gabriel Laberge, Foutse Khomh
Detection and Evaluation of bias-inducing Features in Machine learning. CoRR (2023)
Gabriel Laberge, Yann Pequignot
Understanding Interventional TreeSHAP : How and Why it Works. CoRR (2022)
Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal
Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions. ICSME (2022)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. 29 (2) (2022)
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara
Fooling SHAP with Stealthily Biased Sampling. CoRR (2022)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR (2021)
Gabriel Laberge, Yann Pequignot, Foutse Khomh, Mario Marchand, Alexandre Mathieu
Partial order: Finding Consensus among Uncertain Feature Attributions. CoRR (2021)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. CoRR (2019)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. MLHPC@SC (2019)