Ian E. Nielsen

According to our database, Ian E. Nielsen authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis.

Rishav Pramanik, Ian E. Nielsen, Jeff Smith, Saurav Pandit, Ravi Prakash Ramachandran, Zhaozheng Yin

CoRR, February, 2026

2025

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

CoRR, July, 2025

IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods.

Bradley Gathers, Ian E. Nielsen, Keith W. Soules, Ozan Tekben, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool

IEEE Access, 2025

2023

Transformers in Time-Series Analysis: A Tutorial.

Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool

Circuits Syst. Signal Process., December, 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

IEEE Access, 2023

Targeted Background Removal Creates Interpretable Feature Visualizations.

Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ravi Prakash Ramachandran, Ghulam Rasool

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

2022

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks.

Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya

IEEE Signal Process. Mag., 2022