Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. - Ian E. Nielsen; Dimah Dera; Ghulam Rasool 001; Ravi Prakash Ramachandran; Nidhal Carla Bouaynaya (IEEE Signal Process. Mag., 2022)

Targeted Background Removal Creates Interpretable Feature Visualizations. - Ian E. Nielsen; Erik Grundeland; Joseph Snedeker; Ravi Prakash Ramachandran; Ghulam Rasool 001 (MWSCAS, 2023)

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. - Ian E. Nielsen; Ravi Prakash Ramachandran; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh; Ghulam Rasool 001 (IEEE Access, 2023)

Transformers in Time-Series Analysis: A Tutorial. - Sabeen Ahmed; Ian E. Nielsen; Aakash Tripathi; Shamoon Siddiqui; Ravi Prakash Ramachandran; Ghulam Rasool 001 (Circuits Syst. Signal Process., 2023)

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts. - Aakash Tripathi; Ian E. Nielsen; Muhammad Umer; Ravi Prakash Ramachandran; Ghulam Rasool 001 (CoRR, 2025)