Analysis of Word Embeddings using Fuzzy Clustering. - Shahin Atakishiyev; Marek Z. Reformat (CoRR, 2019)

A multi-component framework for the analysis and design of explainable artificial intelligence. - Shahin Atakishiyev; Housam Khalifa Bashier Babiker; Nawshad Farruque; Randy Goebel; M.-Y. Kima; Mohammad H. Motallebi; Juliano Rabelo 001; Talat Iqba Syed; Osmar R. Zaïane (CoRR, 2020)

Towards safe, explainable, and regulated autonomous driving. - Shahin Atakishiyev; Mohammad Salameh; Hengshuai Yao; Randy Goebel (CoRR, 2021)

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. - Mi-Young Kim; Shahin Atakishiyev; Housam Khalifa Bashier Babiker; Nawshad Farruque; Randy Goebel; Osmar R. Zaïane; Mohammad H. Motallebi; Juliano Rabelo 001; Talat Iqba Syed; Hengshuai Yao; Peter Chun (Mach. Learn. Knowl. Extr., 2021)

Explaining Autonomous Driving Actions with Visual Question Answering. - Shahin Atakishiyev; Mohammad Salameh; Housam Khalifa Bashier Babiker; Randy Goebel (ITSC, 2023)

Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. - Shahin Atakishiyev; Mohammad Salameh; Randy Goebel (IV, 2024)

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. - Shahin Atakishiyev; Mohammad Salameh; Hengshuai Yao; Randy Goebel (IEEE Access, 2024)

Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving. - Shahin Atakishiyev; Mohammad Salameh; Randy Goebel (CoRR, 2024)