Diagnosability of stochastic discrete-event systems D Thorsley, D Teneketzis
IEEE Transactions on Automatic Control 50 (4), 476-492, 2005
278 2005 Post-Training Piecewise Linear Quantization for Deep Neural Networks J Fang, A Shafiee, H Abdel-Aziz, D Thorsley, G Georgios, J Hassoun
European Conference on Computer Vision, 2020
198 2020 PC-PVT: a platform for psychomotor vigilance task testing, analysis, and prediction MY Khitrov, S Laxminarayan, D Thorsley, S Ramakrishnan, S Rajaraman, ...
Behavior research methods 46, 140-147, 2014
175 2014 Learned token pruning for transformers S Kim, S Shen, D Thorsley, A Gholami, W Kwon, J Hassoun, K Keutzer
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
161 2022 Active acquisition of information for diagnosis and supervisory control of discrete event systems D Thorsley, D Teneketzis
Discrete Event Dynamic Systems 17, 531-583, 2007
86 2007 Intrusion detection in controlled discrete event systems D Thorsley, D Teneketzis
Proceedings of the 45th IEEE Conference on Decision and Control, 6047-6054, 2006
73 2006 Diagnosability of stochastic discrete-event systems under unreliable observations D Thorsley, TS Yoo, HE Garcia
2008 American control conference, 1158-1165, 2008
64 2008 A unified mathematical model to quantify performance impairment for both chronic sleep restriction and total sleep deprivation P Rajdev, D Thorsley, S Rajaraman, TL Rupp, NJ Wesensten, TJ Balkin, ...
Journal of Theoretical Biology, 2013
62 2013 Approximating stochastic biochemical processes with Wasserstein pseudometrics D Thorsley, E Klavins
IET Systems Biology 4 (3), 193-211, 2010
29 2010 A new metric for quantifying performance impairment on the psychomotor vigilance test S Rajaraman, S Ramakrishnan, D Thorsley, NJ Wesensten, TJ Balkin, ...
Journal of Sleep Research, 2012
20 2012 Model reduction of stochastic processes using Wasserstein pseudometrics D Thorsley, E Klavins
2008 American Control Conference, 1374-1381, 2008
20 2008 Sait: Sparse vision transformers through adaptive token pruning L Li, D Thorsley, J Hassoun
arXiv preprint arXiv:2210.05832, 2022
19 2022 A phenomenological model for circadian and sleep allostatic modulation of plasma cortisol concentration D Thorsley, R Leproult, K Spiegel, J Reifman
American Journal of Physiology-Endocrinology and Metabolism 303 (10), E1190 …, 2012
18 2012 A necessary and sufficient condition for diagnosability of stochastic discrete event systems D Thorsley
Discrete Event Dynamic Systems 27, 481-500, 2017
13 2017 Active acquisition of information for diagnosis of discrete event systems D Thorsley, D Teneketzis
Proceedings of the Allerton Conference on Control, Communication, and Computing, 2004
12 2004 PROV-IO R Han, M Zheng, S Byna, H Tang, B Dong, D Dai, Y Chen, D Kim, ...
IEEE Transactions on Parallel and Distributed Systems, 2024
9 2024 Estimation and Discrimination of Stochastic Biochemical Circuits from Time-Lapse Microscopy Data D Thorsley, E Klavins
PLOS ONE 7 (11), e47151, 2012
8 2012 Hidden Markov Models for non-well-mixed reaction networks N Napp, D Thorsley, E Klavins
2009 American Control Conference, 737-744, 2009
8 2009 Diagnosis of cyclic discrete-event systems using active acquisition of information D Thorsley, D Teneketzis
2006 8th International Workshop on Discrete Event Systems, 248-255, 2006
8 2006 Failure diagnosis of stochastic automata DPL Thorsley, D Teneketzis
14th International Workshop on Principles of Diagnosis-DX’03, 2003
8 2003 
Demosthenis TeneketzisProfessor of EECS, University of MichiganZweryfikowany adres z umich.edu