Keegan Hines - Concepedia

Author

Keegan Hines

Also Known As

Clairemcwhite, Dickerson, John, Hines, Keegan, Hines, Keegan E., K.E. Hines, Keegan E. Hines, Keegan Hines, Keegan E. Hines, Kiciman, Emre

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

University of Washington The University of Texas at Austin Capital One (United States)

About

Keegan Hines is an author at University of Washington specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	733
2	Business	2	2	262
3	Medicine	2	2	223
4	Law	1	1	17
5	Management	1	1	259

Keegan Hines

Publications

846

Citations

H-Index

Page 1

	Year	Citations
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools Anh Minh Truong, Austin Walters, Jeremy Goodsitt, Artificial IntelligenceEngineeringMachine LearningAutoml ToolsMachine Learning Tool	2019	259
Counterfactual Explanations for Machine Learning: A Review. Sahil Verma, John P. Dickerson, Keegan Hines arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCounterfactual ExplainabilityMachine Learning Models	2020	222
Determination of parameter identifiability in nonlinear biophysical models: A Bayesian approach Keegan Hines, Thomas R. Middendorf, Richard W. Aldrich The Journal of General Physiology Parameter EstimationEngineeringNonlinear Biophysical ModelsMechanistic ModelsNonlinear System Identification	2014	179
Analyzing Single-Molecule Time Series via Nonparametric Bayesian Inference Keegan Hines, John R. Bankston, Richard W. Aldrich Biophysical Journal Nonparametric Bayesian InferenceStatistical InferenceSingle MoleculeFunctional Data AnalysisStatistics	2015	59
Inferring subunit stoichiometry from single molecule photobleaching Keegan Hines The Journal of General Physiology PhotobiologyMolecular BiologySingle Molecule BiophysicsProtein ComplexesBleaching Steps	2013	44
DeepTrax: Embedding Graphs of Financial Transactions Anish Khazane, Jonathan Rider, Max Serpe, Fraud DetectionGraph Representation LearningMachine LearningFinancial DataEngineering	2019	40
Equalizing Credit Opportunity in Algorithms I. Elizabeth Kumar, Keegan Hines, John P. Dickerson Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningMachine Learning Algorithms	2022	17
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models Sahil Verma, Keegan Hines, John P. Dickerson Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningSequential RecoursesExplainable Machine Learning	2022	16
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Avi Schwarzschild, Max Cembalest, Karthik Rao,	2023	10

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