| 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 | 135 | 2013 |
| Contextual anomaly detection in text data A Mahapatra, N Srivastava, J Srivastava Algorithms 5 (4), 469-489, 2012 | 53 | 2012 |
| Targeted example generation for compilation errors UZ Ahmed, R Sindhgatta, N Srivastava, A Karkare 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 35 | 2019 |
| Modeling the repertoire of true tumor-specific MHC I epitopes in a human tumor N Srivastava, PK Srivastava PLoS One 4 (7), e6094, 2009 | 34 | 2009 |
| Characterizing the pedagogical benefits of adaptive feedback for compilation errors by novice programmers UZ Ahmed, N Srivastava, R Sindhgatta, A Karkare Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 24 | 2020 |
| 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 | 21 | 2018 |
| Learning what to want: context-sensitive preference learning N Srivastava, P Schrater PloS one 10 (10), e0141129, 2015 | 20 | 2015 |
| A simple model of recognition and recall memory N Srivastava, E Vul Advances in Neural Information Processing Systems 30, 2017 | 19 | 2017 |
| 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 | 16 | 2013 |
| A hybrid-logic approach towards fault detection in complex cyber-physical systems N Srivastava, J Srivastava | 15* | |
| Modeling sampling duration in decisions from experience. N Srivastava, J Müller-Trede, PR Schrater, E Vul CogSci, 2016 | 14 | 2016 |
| Rational inference of relative preferences N Srivastava, PR Schrater Advances in neural information processing systems 25, 2012 | 14 | 2012 |
| Attention Modulates Spatial Precision in Multiple‐Object Tracking N Srivastava, E Vul Topics in cognitive science 8 (1), 335-348, 2016 | 13 | 2016 |
| Measuring semantic incongruity within text data A Mahapatra, N Srivastava, J Srivastava US Patent 10,176,260, 2019 | 10 | 2019 |
| Quality of concept maps is affected by map building strategies A Srivastava, N Srivastava, S Chandrasekharan Biochemistry and Molecular Biology Education 49 (1), 129-139, 2021 | 8 | 2021 |
| Choosing fast and slow: explaining differences between hedonic and utilitarian choices. N Srivastava, E Vul CogSci, 2015 | 8 | 2015 |
| Attention dynamics in multiple object tracking. N Srivastava, E Vul CogSci, 2015 | 6 | 2015 |
| Magnitude-sensitive preference formation N Srivastava, E Vul, PR Schrater Advances in neural information processing systems 27, 2014 | 6 | 2014 |
| An evolutionarily motivated model of decision-making under uncertainty N Srivastava, P Schrater Available at SSRN: http://ssrn. com/abstract 1687205, 2010 | 6 | 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 | 6 | 2009 |
