1 citations · 1 across the 3 of their papers we have counts for
3 papers
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi +1
Over the past decade, multivariate time series classification has received great attention. Machine learning (ML) models for multivariate time series classification have made signi…
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…
Motif-guided Time Series Counterfactual Explanations
Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
With the rising need of interpretable machine learning methods, there is a necessity for a rise in human effort to provide diverse explanations of the influencing factors of the mo…