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Ian E. Nielsen
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 8
Top Topics
Partial Occlusion
Robust Estimation
Foreground And Background
Computationally Efficient
Top Venues
CoRR
MWSCAS
Circuits Syst. Signal Process.
IEEE Signal Process. Mag.
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Publications
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Ian E. Nielsen
,
Erik Grundeland
,
Joseph Snedeker
,
Ravi Prakash Ramachandran
,
Ghulam Rasool
Targeted Background Removal Creates Interpretable Feature Visualizations.
MWSCAS
(2023)
Ian E. Nielsen
,
Ravi Prakash Ramachandran
,
Nidhal Bouaynaya
,
Hassan M. Fathallah-Shaykh
,
Ghulam Rasool
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.
IEEE Access
11 (2023)
Ian E. Nielsen
,
Ravi Prakash Ramachandran
,
Nidhal Bouaynaya
,
Hassan M. Fathallah-Shaykh
,
Ghulam Rasool
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.
CoRR
(2023)
Sabeen Ahmed
,
Ian E. Nielsen
,
Aakash Tripathi
,
Shamoon Siddiqui
,
Ravi Prakash Ramachandran
,
Ghulam Rasool
Transformers in Time-Series Analysis: A Tutorial.
Circuits Syst. Signal Process.
42 (12) (2023)
Ian E. Nielsen
,
Erik Grundeland
,
Joseph Snedeker
,
Ghulam Rasool
,
Ravi Prakash Ramachandran
Targeted Background Removal Creates Interpretable Feature Visualizations.
CoRR
(2023)
Ian E. Nielsen
,
Dimah Dera
,
Ghulam Rasool
,
Ravi Prakash Ramachandran
,
Nidhal Carla Bouaynaya
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks.
IEEE Signal Process. Mag.
39 (4) (2022)
Sabeen Ahmed
,
Ian E. Nielsen
,
Aakash Tripathi
,
Shamoon Siddiqui
,
Ghulam Rasool
,
Ravi Prakash Ramachandran
Transformers in Time-series Analysis: A Tutorial.
CoRR
(2022)
Ian E. Nielsen
,
Dimah Dera
,
Ghulam Rasool
,
Nidhal Bouaynaya
,
Ravi Prakash Ramachandran
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks.
CoRR
(2021)