Ian Covert - Concepedia

Author

Ian Covert

University of Washington

Also Known As

Chanwoo Kim, Covert, Ian, Covert, Ian C., Ian C. Covert, Ian Covert

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

University of Washington Microsoft Research (United Kingdom)Google (United States)Microsoft (United States)Seattle University

About

Ian Covert is an author at University of Washington specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1.1K
2	Data Science	9	9	994
3	Computer Science	8	8	735
4	Social Sciences	2	2	61
5	Public Health	1	1	229

Ian Covert

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Algorithms to estimate Shapley value feature attributions Hugh Chen, Ian Covert, Scott Lundberg, Nature Machine Intelligence EngineeringData ScienceData MiningKnowledge DiscoveryStatistical Inference	2023	361
Neural Granger Causality Alex Tank, Ian Covert, Nicholas J. Foti, IEEE Transactions on Pattern Analysis and Machine Intelligence Structured PredictionEngineeringMachine LearningNeurolinguisticsMultilayer Perceptrons	2021	229
Understanding Global Feature Contributions With Additive Importance Measures Ian Covert, Scott Lundberg, Su‐In Lee arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolFeature Importance	2020	168
What does a platypus look like? Generating customized prompts for zero-shot image classification Sarah I. Pratt, Ian Covert, Rosanne Liu, EngineeringMachine LearningOpen-vocabulary ModelsNatural Language ProcessingLarge Language Models	2023	153
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert, Scott Lundberg, Su‐In Lee arXiv (Cornell University)	2020	123
Neural Granger Causality for Nonlinear Time Series Alex Tank, Ian Covert, Nicholas J. Foti, arXiv (Cornell University) Granger Causality DetectionStructured PredictionEngineeringMachine LearningData Science	2018	69
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression Ian Covert, Su‐In Lee International Conference on Artificial Intelligence and Statistics EngineeringMachine LearningData ScienceReproducing Kernel MethodKnowledge Discovery	2021	51
Temporal Graph Convolutional Networks for Automatic Seizure Detection Ian Covert, Balu Krishnan, Imad Najm, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningGraph Signal ProcessingSocial Sciences	2019	49
Understanding Global Feature Contributions With Additive Importance Measures Ian Covert, Scott Lundberg, Su‐In Lee arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolFeature Importance	2020	43
Predictive and robust gene selection for spatial transcriptomics Ian Covert, Rohan Gala, Tim Wang, Nature Communications	2023	35

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