E-LIB Suche - Ergebnisse für: Laberge, Gabriel

1

Detection and evaluation of bias-inducing features in machi..:

Openja, Moses ; Laberge, Gabriel ; Khomh, Foutse
Empirical Software Engineering. 29 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

2

Why Don't XAI Techniques Agree? Characterizing the Disagree..:

, In: 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME),

Roy, Saumendu ; Laberge, Gabriel ; Roy, Banani... - p. 444-448 , 2022

Link: https://doi.org/10.1109/..

3

How to certify machine learning based safety-critical syste..:

Tambon, Florian ; Laberge, Gabriel ; An, Le...
Automated Software Engineering. 29 (2022) 2 - p. , 2022

Link: https://doi.org/10.1007/..

4

Scheduling Optimization of Parallel Linear Algebra Algorith..:

, In: 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC),

laberge, gabriel ; Shirzad, Shahrzad ; Diehl, Patrick... - p. 31-43 , 2019

Link: https://doi.org/10.1109/..

5

Microfluidic multipoles theory and applications:

Goyette, Pierre-Alexandre ; Boulais, Étienne ; Normandeau, Frédéric...
Nature Communications. 10 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

6

Postoperative thrombocytopenia and haemolytic anaemia in pe..:

Guidoin, Robert ; Rao, Tian-Jian ; Roy, Paul-Emile...
Clinical Materials. 3 (1988) 2 - p. 103-118 , 1988

Link: https://doi.org/10.1016/..

7

Partial Order in Chaos: Consensus on Feature Attributions i..:

Laberge, Gabriel ; Pequignot, Yann ; Mathieu, Alexandre..
hal-04232199. , 2023

Link: https://hal.science/hal-..

8

Partial Order in Chaos: Consensus on Feature Attributions i..:

Laberge, Gabriel ; Pequignot, Yann ; Mathieu, Alexandre..
hal-04232199. , 2023

Link: https://hal.science/hal-..

9

Detection and Evaluation of bias-inducing Features in Machi..:

Openja, Moses ; Laberge, Gabriel ; Khomh, Foutse
http://arxiv.org/abs/2310.12805. , 2023

Link: http://arxiv.org/abs/231..

10

Partial Order in Chaos: Consensus on Feature Attributions i..:

Laberge, Gabriel ; Pequignot, Yann ; Khomh, Foutse..
info:eu-repo/semantics/altIdentifier/arxiv/2110.13369. , 2023

Link: https://hal.science/hal-..

11

Learning Hybrid Interpretable Models: Theory, Taxonomy, and..:

Ferry, Julien ; Laberge, Gabriel ; Aïvodji, Ulrich
info:eu-repo/semantics/altIdentifier/arxiv/2303.04437. , 2023

Link: https://hal.science/hal-..

12

Learning Hybrid Interpretable Models: Theory, Taxonomy, and..:

Ferry, Julien ; Laberge, Gabriel ; Aïvodji, Ulrich
info:eu-repo/semantics/altIdentifier/arxiv/2303.04437. , 2023

Link: https://hal.science/hal-..

13

Understanding Interventional TreeSHAP : How and Why it Work:

Laberge, Gabriel ; Pequignot, Yann, Batiste
info:eu-repo/semantics/altIdentifier/arxiv/2209.15123. , 2023

Link: https://hal.science/hal-..

14

Detection and evaluation of bias-inducing features in machi..:

Openja, Moses ; Laberge, Gabriel ; Khomh, Foutse
info:eu-repo/semantics/altIdentifier/arxiv/2310.12805. , 2023

Link: https://hal.science/hal-..

15

Learning Hybrid Interpretable Models: Theory, Taxonomy, and..:

Ferry, Julien ; Laberge, Gabriel ; Aïvodji, Ulrich
info:eu-repo/semantics/altIdentifier/arxiv/2303.04437. , 2023

Link: https://hal.science/hal-..