Gabriel Laberge

Orcid: 0009-0002-2019-2292

According to our database1, Gabriel Laberge authored at least 12 papers between 2019 and 2024.

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Bibliography

2024
Detection and evaluation of bias-inducing features in machine learning.
Empir. Softw. Eng., February, 2024

Mining Action Rules for Defect Reduction Planning.
Proc. ACM Softw. Eng., 2024

Tackling the XAI Disagreement Problem with Regional Explanations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set.
J. Mach. Learn. Res., 2023

Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods.
CoRR, 2023

Fooling SHAP with Stealthily Biased Sampling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Understanding Interventional TreeSHAP : How and Why it Works.
CoRR, 2022

Fooling SHAP with Stealthily Biased Sampling.
CoRR, 2022

How to certify machine learning based safety-critical systems? A systematic literature review.
Autom. Softw. Eng., 2022

Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021
Partial order: Finding Consensus among Uncertain Feature Attributions.
CoRR, 2021

2019
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning.
Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019


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