Foutse Khomh
École Polytechnique de Montréal
H-index: 46
North America-Canada
Top articles of Foutse Khomh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Tackling the XAI Disagreement Problem with Regional Explanations | Gabriel Laberge Yann Batiste Pequignot Mario Marchand Foutse Khomh | 2024/4/18 | |
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends | arXiv preprint arXiv:2401.13177 | Mina Taraghi Gianolli Dorcelus Armstrong Foundjem Florian Tambon Foutse Khomh | 2024/1/24 |
Understanding the Impact of IoT Security Patterns on CPU Usage and Energy Consumption on IoT Devices | Authorea Preprints | Saeid Jamshidi Amin Nikanjam Nafi Kawser Foutse Khomh Mohammad-Adnan Hamdaqa | 2024/4/8 |
Effective test generation using pre-trained large language models and mutation testing | Information and Software Technology | Arghavan Moradi Dakhel Amin Nikanjam Vahid Majdinasab Foutse Khomh Michel C Desmarais | 2024/4/6 |
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study | arXiv preprint arXiv:2401.03069 | Mehil B Shah Mohammad Masudur Rahman Foutse Khomh | 2024/1/5 |
Detection and evaluation of bias-inducing features in machine learning | Empirical Software Engineering | Moses Openja Gabriel Laberge Foutse Khomh | 2024/2 |
Bugs in large language models generated code | arXiv preprint arXiv:2403.08937 | Florian Tambon Arghavan Moradi Dakhel Amin Nikanjam Foutse Khomh Michel C Desmarais | 2024/3/13 |
Bug characterization in machine learning-based systems | Empirical Software Engineering | Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Jiang | 2024/1 |
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code | arXiv preprint arXiv:2402.09299 | Vahid Majdinasab Amin Nikanjam Foutse Khomh | 2024/2/14 |
Studying logging practice in machine learning-based applications | Information and Software Technology | Patrick Loic Foalem Foutse Khomh Heng Li | 2024/6/1 |
Silent bugs in deep learning frameworks: An empirical study of Keras and TensorFlow | Empirical Software Engineering | Florian Tambon Amin Nikanjam Le An Foutse Khomh Giuliano Antoniol | 2024/1 |
ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions | arXiv preprint arXiv:2402.08801 | Leuson Da Silva Jordan Samhi Foutse Khomh | 2024/2/13 |
GIST: Generated Inputs Sets Transferability in Deep Learning | arXiv preprint arXiv:2311.00801 | Florian Tambon Foutse Khomh Giuliano Antoniol | 2023/11/1 |
On codex prompt engineering for OCL generation: an empirical study | Seif Abukhalaf Mohammad Hamdaqa Foutse Khomh | 2023/5/15 | |
Mutation testing of deep reinforcement learning based on real faults | Florian Tambon Vahid Majdinasab Amin Nikanjam Foutse Khomh Giuliano Antoniol | 2023/4/16 | |
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set | Journal of Machine Learning Research | Gabriel Laberge Yann Pequignot Alexandre Mathieu Foutse Khomh Mario Marchand | 2023 |
Responsible design patterns for machine learning pipelines | arXiv preprint arXiv:2306.01788 | Saud Hakem Al Harbi Lionel Nganyewou Tidjon Foutse Khomh | 2023/5/31 |
Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts | Ilham Qasse Shailesh Mishra Björn þór Jónsson Foutse Khomh Mohammad Hamdaqa | 2023/7/2 | |
A Machine Learning Based Approach to Detect Machine Learning Design Patterns | Weitao Pan Hironori Washizaki Nobukazu Yoshioka Yoshiaki Fukazawa Foutse Khomh | 2023/12/4 | |
Github copilot ai pair programmer: Asset or liability? | Journal of Systems and Software | Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C Desmarais | 2023/9/1 |
Co-Authors
