| Robust explainability: A tutorial on gradient-based attribution methods for deep neural networks IE Nielsen, D Dera, G Rasool, RP Ramachandran, NC Bouaynaya IEEE Signal Processing Magazine 39 (4), 73-84, 2022 | 80 | 2022 |
| Transformers in time-series analysis: A tutorial S Ahmed, IE Nielsen, A Tripathi, S Siddiqui, RP Ramachandran, G Rasool Circuits, Systems, and Signal Processing 42 (12), 7433-7466, 2023 | 65 | 2023 |
| Transformers in time-series analysis: A tutorial. arXiv 2022 S Ahmed, IE Nielsen, A Tripathi, S Siddiqui, G Rasool, RP Ramachandran arXiv preprint arXiv:2205.01138, 2022 | 7 | 2022 |
| EvalAttAI: a holistic approach to evaluating attribution maps in robust and non-robust models IE Nielsen, RP Ramachandran, N Bouaynaya, HM Fathallah-Shaykh, ... IEEE Access, 2023 | 5 | 2023 |
| Targeted Background Removal Creates Interpretable Feature Visualizations IE Nielsen, E Grundeland, J Snedeker, RP Ramachandran, G Rasool 2023 IEEE 66th International Midwest Symposium on Circuits and Systems …, 2023 | | 2023 |
| Performance Evaluation of Combination Methods of Saliency Mapping Algorithms IE Nielsen, JR Epifano, G Rasool, NC Bouaynaya, RP Ramachandran | | |
