1 citations · 2 across the 2 of their papers we have counts for
3 papers
Scalable Counterfactual Explanations for Time Series via Policy Learning
Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi +1
Generating counterfactual (CF) explanations for time series is challenging due to complex temporal dependencies and the computational inefficiency of traditional instance-specific…
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Peiyu Li, Omar Bahri, Pouya Hosseinzadeh +2
As the demand for interpretable machine learning approaches continues to grow, there is an increasing necessity for human involvement in providing informative explanations for mode…