10 citations · 24 across the 11 of their papers we have counts for
4 papers · 1 filter
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
Nazanin Fouladgar, Marjan Alirezaie, Kary Främling
Local explanation of machine learning (ML) models has recently received significant attention due to its ability to reduce ambiguities about why the models make specific decisions.…
Do intermediate feature coalitions aid explainability of black-box models?
Minal Suresh Patil, Kary Främling
This work introduces the notion of intermediate concepts based on levels structure to aid explainability for black-box models. The levels structure is a hierarchical structure in w…
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
Rohit Saluja, Avleen Malhi, Samanta Knapič +2
Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learn…
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
Matti Huotari, Shashank Arora, Avleen Malhi +1
It is of extreme importance to monitor and manage the battery health to enhance the performance and decrease the maintenance cost of operating electric vehicles. This paper concern…