74 citations · 89 across the 10 of their papers we have counts for
10 papers
Mesh-RL: Coupled subgrid reinforcement learning
Behnam Gheshlaghi, Bahador Rashidi, Shahin Atakishiyev
Reinforcement learning in large or sparse-reward environments suffers from slow temporal-difference reward propagation, as value information spreads only locally across the state s…
An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving
Maryam Sadat Hosseini Azad, Shahriar Baradaran Shokouhi, Amir Abbas Hamidi Imani +2
The application of computer vision is gradually increasing across various domains. They employ deep learning models with a black-box nature. Without the ability to explain the beha…
Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
Shahin Atakishiyev, Housam K. B. Babiker, Jiayi Dai +8
Large language models have exhibited impressive performance across a broad range of downstream tasks in natural language processing. However, how a language model predicts the next…
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles
Shahin Atakishiyev, Mohammad Salameh, Randy Goebel
Autonomous vehicles often make complex decisions via machine learning-based predictive models applied to collected sensor data. While this combination of methods provides a foundat…
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev, Mohammad Salameh, Randy Goebel
The end-to-end learning pipeline is gradually creating a paradigm shift in the ongoing development of highly autonomous vehicles (AVs), largely due to advances in deep learning, th…
Explaining Autonomous Driving Actions with Visual Question Answering
Shahin Atakishiyev, Mohammad Salameh, Housam Babiker +1
The end-to-end learning ability of self-driving vehicles has achieved significant milestones over the last decade owing to rapid advances in deep learning and computer vision algor…
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao +1
Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonom…
Towards Safe, Explainable, and Regulated Autonomous Driving
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao +1
There has been recent and growing interest in the development and deployment of autonomous vehicles, encouraged by the empirical successes of powerful artificial intelligence techn…
A multi-component framework for the analysis and design of explainable artificial intelligence
S. Atakishiyev, H. Babiker, N. Farruque +6
The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learnin…
Analysis of Word Embeddings Using Fuzzy Clustering
Shahin Atakishiyev, Marek Z. Reformat
In data dominated systems and applications, a concept of representing words in a numerical format has gained a lot of attention. There are a few approaches used to generate such a…