Karen Hovsepian
Karen Hovsepian
Amazon
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Year
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
1802015
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
1082012
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
662016
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
452014
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
412014
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
362015
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, 411-433, 2017
222017
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
152016
Detection and prediction of relative clustered volatility in financial markets
K Hovsepian, PC Anselmo, S Mazumdar
4th International Conference on Computational Intelligence in Economics and …, 2005
102005
Supervised inductive learning with Lotka–Volterra derived models
K Hovsepian, P Anselmo, S Mazumdar
Knowledge and information systems 26 (2), 195-223, 2011
82011
Similarity Based Classification
AE Bernal, K Hospevian, T Karadeniz, JL Lassez
Lecture Notes in Computer Science (LNCS) 2810, 187-197, 2003
82003
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
62015
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
62005
‘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
42009
Heuristic Solutions to Technical Issues Associated with Clustered Volatility Prediction using Support Vector Machines
K Hovsepian, P Anselmo
2005 International Conference on Neural Networks and Brain 3, 1656-1660, 2005
32005
Automated Options Trading Using Machine Learning
P Anselmo, K Hovsepian, C Ulibarri, M Kozloski
22018
Interaction Modeling Based Learning: a Mathematical Modeling Based Approach to Supervised Learning
K Hovsepian
New Mexico Institute of Mining and Technology, 2009
2009
A modeling-based classification algorithm validated with simulated data
K Hovsepian, P Anselmo, S Mazumdar
2008 Winter Simulation Conference, 768-776, 2008
2008
making in FX derivatives: rolling loaded dice?
CA Ulibarri, P Anselmo, K Hovsepian, I Florescu, J Tolk
2008
Detection and Analysis of Clustered Volatility in Dynamic Fx-markets Time-series
K Hovsepian
New Mexico Institute of Mining and Technology, 2005
2005
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Articles 1–20