Amit Dhurandhar
Amit Dhurandhar
RSM, IBM
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
Predicting human olfactory perception from chemical features of odor molecules
A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ...
Science 355 (6327), 820-826, 2017
1052017
Explanations based on the missing: Towards contrastive explanations with pertinent negatives
A Dhurandhar, PY Chen, R Luss, CC Tu, P Ting, K Shanmugam, P Das
Advances in Neural Information Processing Systems, 592-603, 2018
1012018
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
482019
Probabilistic characterization of nearest neighbor classifier
A Dhurandhar, A Dobra
International journal of machine learning and cybernetics 4 (4), 259-272, 2013
372013
TED: Teaching AI to explain its decisions
M Hind, D Wei, M Campbell, NCF Codella, A Dhurandhar, A Mojsilović, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2019
28*2019
Efficient Data Representation by Selecting Prototypes with Importance Weights
KS Gurumoorthy, A Dhurandhar, G Cecchi, C Aggarwal
2019 IEEE International Conference on Data Mining (ICDM), 260-269, 2019
27*2019
Continuous prediction of manufacturing performance throughout the production lifecycle
SM Weiss, A Dhurandhar, RJ Baseman, BF White, R Logan, JK Winslow, ...
Journal of Intelligent Manufacturing 27 (4), 751-763, 2016
24*2016
System and method for identifying procurement fraud/risk
A Dhurandhar, MR Ettl, BC Graves, RK Ravi
US Patent App. 14/186,071, 2015
232015
Tip: Typifying the interpretability of procedures
A Dhurandhar, V Iyengar, R Luss, K Shanmugam
arXiv preprint arXiv:1706.02952, 2017
212017
Supervised item response models for informative prediction
T Idé, A Dhurandhar
Knowledge and Information Systems 51 (1), 235-257, 2017
21*2017
Probabilistic characterization of random decision trees
A Dhurandhar, A Dobra
Journal of Machine Learning Research 9 (Oct), 2321-2348, 2008
212008
Improving simple models with confidence profiles
A Dhurandhar, K Shanmugam, R Luss, PA Olsen
Advances in Neural Information Processing Systems, 10296-10306, 2018
202018
A formal framework to characterize interpretability of procedures
A Dhurandhar, V Iyengar, R Luss, K Shanmugam
arXiv preprint arXiv:1707.03886, 2017
192017
Big data system for analyzing risky procurement entities
A Dhurandhar, B Graves, R Ravi, G Maniachari, M Ettl
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
16*2015
Distribution-free bounds for relational classification
A Dhurandhar, A Dobra
Knowledge and information systems 31 (1), 55-78, 2012
162012
Invariant risk minimization games
K Ahuja, K Shanmugam, K Varshney, A Dhurandhar
arXiv preprint arXiv:2002.04692, 2020
132020
Semi-analytical method for analyzing models and model selection measures based on moment analysis
A Dhurandhar, A Dobra
ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (1), 1-51, 2009
122009
Learning maximum lag for grouped graphical granger models
A Dhurandhar
2010 IEEE International Conference on Data Mining Workshops, 217-224, 2010
112010
Predicting natural language descriptions of mono-molecular odorants
ED Gutiérrez, A Dhurandhar, A Keller, P Meyer, GA Cecchi
Nature communications 9 (1), 1-12, 2018
102018
Detecting electricity theft via meter tampering using statistical methods
A Dhurandhar, JR Kalagnanam, SA Siegel, Y Zhu
US Patent 9,600,773, 2017
102017
The system can't perform the operation now. Try again later.
Articles 1–20