| cStress: towards a gold standard for continuous stress assessment in the mobile environment K Hovsepian, M Al'Absi, E Ertin, T Kamarck, M Nakajima, S Kumar Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 368 | 2015 |
| Finding significant stress episodes in a discontinuous time series of rapidly varying mobile sensor data H Sarker, M Tyburski, MM Rahman, K Hovsepian, M Sharmin, DH Epstein, ... Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016 | 126 | 2016 |
| mPuff: automated detection of cigarette smoking puffs from respiration measurements AA Ali, SM Hossain, K Hovsepian, MM Rahman, K Plarre, S Kumar Proceedings of the 11th international conference on Information Processing …, 2012 | 126 | 2012 |
| Estimating drivers' stress from GPS traces S Vhaduri, A Ali, M Sharmin, K Hovsepian, S Kumar Proceedings of the 6th International Conference on Automotive User …, 2014 | 69 | 2014 |
| Are we there yet? Feasibility of continuous stress assessment via wireless physiological sensors MM Rahman, R Bari, AA Ali, M Sharmin, A Raij, K Hovsepian, ... Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 64 | 2014 |
| Continuous in-the-field measurement of heart rate: Correlates of drug use, craving, stress, and mood in polydrug users AP Kennedy, DH Epstein, ML Jobes, D Agage, M Tyburski, KA Phillips, ... Drug and alcohol dependence 151, 159-166, 2015 | 62 | 2015 |
| From markers to interventions: The case of just-in-time stress intervention H Sarker, K Hovsepian, S Chatterjee, I Nahum-Shani, SA Murphy, ... Mobile health: Sensors, analytic methods, and applications, 411-433, 2017 | 42 | 2017 |
| mCrave: continuous estimation of craving during smoking cessation S Chatterjee, K Hovsepian, H Sarker, N Saleheen, M al'Absi, G Atluri, ... Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 30 | 2016 |
| A first look: Towards explainable textvqa models via visual and textual explanations VN Rao, X Zhen, K Hovsepian, M Shen arXiv preprint arXiv:2105.02626, 2021 | 20 | 2021 |
| Rummana Bari, Amin Ahsan Ali, Moushumi Sharmin, Andrew Raij, Karen Hovsepian, Syed Monowar Hossain, Emre Ertin, Ashley Kennedy, David H MM Rahman Epstein, Kenzie L. Preston, Michelle Jobes, J. Gayle Beck, Satish Kedia …, 2014 | 18 | 2014 |
| Supervised inductive learning with Lotka–Volterra derived models K Hovsepian, P Anselmo, S Mazumdar Knowledge and information systems 26, 195-223, 2011 | 13 | 2011 |
| Similarity Based Classification AE Bernal, K Hospevian, T Karadeniz, JL Lassez Lecture Notes in Computer Science (LNCS) 2810, 187-197, 2003 | 11 | 2003 |
| Detection and prediction of relative clustered volatility in financial markets K Hovsepian, P Anselmo, S Mazumdar 4th International Conference on Computational Intelligence in Economics and …, 2005 | 10 | 2005 |
| Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing K Hovsepian, M al’Absi, E Ertin, T Kamarck, M Nakajima, S Kumar | 7 | 2015 |
| Proceedings of the 11th international conference on Information Processing in Sensor Networks AA Ali, SM Hossain, K Hovsepian, MM Rahman, K Plarre, S Kumar | 7 | 2012 |
| ‘Noise‐trader risk’and Bayesian market making in FX derivatives: rolling loaded dice? CA Ulibarri, PC Anselmo, K Hovespian, J Tolk, I Florescu International Journal of Finance & Economics 14 (3), 268-279, 2009 | 7 | 2009 |
| Unsupervised class-specific abstractive summarization of customer reviews TNA Nguyen, M Shen, K Hovsepian Proceedings of The 4th Workshop on e-Commerce and NLP, 88-100, 2021 | 6 | 2021 |
| Support Vector Classifier Approach for Detection of Clustered Volatility in Dynamic Time-Series K Hovsepian, P Anselmo, S Mazumdar New Mexico Tech, Tech. Rep, 2005 | 6 | 2005 |
| Epstein David H, Preston Kenzie L, Furr-Holden C Debra, Milam Adam, Nahum-Shani Inbal, et al. 2016. Finding significant stress episodes in a discontinuous time series of … S Hillol, T Matthew, RM Mahbubur, H Karen, S Moushumi Proceedings of the 2016 CHI conference on human factors in computing systems …, 0 | 4 | |
| Determination of root causes of customer returns K Hovsepian, M Shen, S Appalaraju, A Shanley, V Patha US Patent 11,526,665, 2022 | 3 | 2022 |
Santosh KumarLillian & Morrie Moss Chair of Excellence Professor, Computer Science, University of MemphisVerified email at memphis.edu
