Amit Dhurandhar - Concepedia

Author

Amit Dhurandhar

IBM (United States)ORCID

Also Known As

A. Dhurandhar, Amit Dhurandhar, Dhurandhar, Amit

139

Publications

2.2K

Citations

H-Index

104

Concepts

All Affiliations

IBM (United States)IBM Research - Thomas J. Watson Research Center University of Michigan University of Florida Twitter (United States)

About

Amit Dhurandhar is an author at IBM (United States) specializing in engineering, computer science, and artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	28	1.1K
2	Management	7	7	380
3	Business	4	4	85
4	Language Studies	4	4	451
5	Public Health	3	3	44

Amit Dhurandhar

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Predicting human olfactory perception from chemical features of odor molecules Andreas Keller, Richard C. Gerkin, Yuanfang Guan, Science	2017	320
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, arXiv (Cornell University) Artificial IntelligenceEngineeringFit AllMachine Learning AlgorithmsMachine Learning Tool	2019	263
Explanations based on the Missing: Towards Contrastive Explanations with\n Pertinent Negatives Amit Dhurandhar, Pin‐Yu Chen, Ronny Luss, arXiv (Cornell University)	2018	174
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar, Pin‐Yu Chen, Ronny Luss, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningContrastive ExplanationsAi Foundation	2018	148
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Proceedings of the ACM on Human-Computer Interaction Artificial IntelligenceBehavioral Decision MakingAi-assisted Decision-makingCognitionIndividual Decision Making	2022	137
TED Michael Hind, Dennis Wei, Murray Campbell, Artificial IntelligenceArtificial Intelligence SystemsCognitive ScienceEngineeringExplanation-based Learning	2019	87
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations Bhanushee Sharma, Vijil Chenthamarakshan, Amit Dhurandhar, Scientific Reports	2023	86
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, Journal of Machine Learning Research Artificial IntelligenceExtensible ToolkitInteractive Machine LearningMachine LearningData Science	2020	55
Predicting natural language descriptions of mono-molecular odorants E. Darío Gutiérrez, Amit Dhurandhar, Andreas Keller, Nature Communications	2018	54
AI explainability 360 Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningMachine Learning Models	2020	54

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