Improving classification performance through selective instance completion
- Amit Dhurandhar
- Karthik Sankaranarayanan
- 2015
- Machine Learning
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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75 results for Amit Dhurandhar
Single network relational transductive learning
- Amit Dhurandhar
- Jun Wang
- 2013
- JAIR
Expansive linguistic representations to predict interpretable odor mixture discriminability
- Amit Dhurandhar
- Hongyang Li
- et al.
- 2023
- Chemical Senses
Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue
- Travis Greene
- Amit Dhurandhar
- et al.
- 2023
- Patterns
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
- Shreyas Fadnavis
- Amit Dhurandhar
- et al.
- 2022
- ML4H 2022
Human-centered explainability for life sciences, healthcare, and medical informatics
- Sanjoy Dey
- Prithwish Chakraborty
- et al.
- 2022
- Patterns
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
Real-Time understanding of humanitarian crises via targeted information retrieval
- Kien Pham
- Prasanna Sattigeri
- et al.
- 2017
- IBM J. Res. Dev
Bounds on the moments for an ensemble of random decision trees
- 2014
- KAIS