48 citations · 535 across the 164 of their papers we have counts for
23 papers · 1 filter
Machine Learning Application Development: Practitioners' Insights
Md Saidur Rahman, Foutse Khomh, Alaleh Hamidi +3
Nowadays, intelligent systems and services are getting increasingly popular as they provide data-driven solutions to diverse real-world problems, thanks to recent breakthroughs in…
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow
Florian Tambon, Amin Nikanjam, Le An +2
Deep Learning (DL) frameworks are now widely used, simplifying the creation of complex models as well as their integration to various applications even to non DL experts. However,…
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh +1
The increasing adoption of Reinforcement Learning in safety-critical systems domains such as autonomous vehicles, health, and aviation raises the need for ensuring their safety. Ex…
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets
Gias Uddin, Yann-Gael Gueheneuc, Foutse Khomh +1
Sentiment analysis in software engineering (SE) has shown promise to analyze and support diverse development activities. We report the results of an empirical study that we conduct…
Reputation Gaming in Stack Overflow
Iren Mazloomzadeh, Gias Uddin, Foutse Khomh +1
Stack Overflow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. Th…
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
Gabriel Laberge, Yann Pequignot, Alexandre Mathieu +2
Post-hoc global/local feature attribution methods are progressively being employed to understand the decisions of complex machine learning models. Yet, because of limited amounts o…