Nisheeth Srivastava
Nisheeth Srivastava
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Model-based and data-driven fault detection performance for a small UAV
P Freeman, R Pandita, N Srivastava, GJ Balas
IEEE/ASME Transactions on mechatronics 18 (4), 1300-1309, 2013
Contextual anomaly detection in text data
A Mahapatra, N Srivastava, J Srivastava
Algorithms 5 (4), 469-489, 2012
Modeling the repertoire of true tumor-specific MHC I epitopes in a human tumor
N Srivastava, PK Srivastava
PLoS One 4 (7), e6094, 2009
Learning what to want: context-sensitive preference learning
N Srivastava, P Schrater
PloS one 10 (10), e0141129, 2015
Measuring spontaneous devaluations in user preferences
K Kapoor, N Srivastava, J Srivastava, P Schrater
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Rational inference of relative preferences
N Srivastava, PR Schrater
Advances in neural information processing systems 25, 2303-2311, 2012
A hybrid-logic approach towards fault detection in complex cyber-physical systems
N Srivastava, J Srivastava
Recombinant enaction: Manipulatives generate new procedures in the imagination, by extending and recombining action spaces
J Rahaman, H Agrawal, N Srivastava, S Chandrasekharan
Cognitive science 42 (2), 370-415, 2018
A simple model of recognition and recall memory
N Srivastava, E Vul
Proceedings of the 31st International Conference on Neural Information …, 2017
Attention Modulates Spatial Precision in Multiple‐Object Tracking
N Srivastava, E Vul
Topics in cognitive science 8 (1), 335-348, 2016
Measuring semantic incongruity within text data
A Mahapatra, N Srivastava, J Srivastava
US Patent 10,176,260, 2019
Magnitude-sensitive preference formation
N Srivastava, E Vul, PR Schrater
Advances in neural information processing systems 27, 1080-1088, 2014
Targeted example generation for compilation errors
UZ Ahmed, R Sindhgatta, N Srivastava, A Karkare
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
Modeling sampling duration in decisions from experience.
N Srivastava, J Müller-Trede, PR Schrater, E Vul
CogSci, 2016
Attention dynamics in multiple object tracking.
N Srivastava, E Vul
CogSci, 2015
Early prediction of potentially preventable events in ambulatory care sensitive admissions from clinical data
P Desikan, N Srivastava, T Winden, T Lindquist, H Britt, J Srivastava
2012 IEEE Second International Conference on Healthcare Informatics, Imaging …, 2012
A value-relativistic decision theory predicts known biases in human preferences
N Srivastava, PR Schrater
Proceedings of the 33rd Annual Meeting of the Cognitive Sciences Society, 2011
An evolutionarily motivated model of decision-making under uncertainty
N Srivastava, P Schrater
Available at SSRN: http://ssrn. com/abstract 1687205, 2010
Theoretically optimal distributed anomaly detection
A Lazarevic, N Srivastava, A Tiwari, J Isom, NC Oza, J Srivastava
Data Mining Workshops, 2009. ICDMW'09. IEEE International Conference on, 515-520, 2009
Choosing fast and slow: explaining differences between hedonic and utilitarian choices.
N Srivastava, E Vul
CogSci, 2015
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Artiklar 1–20