Nearest neighbor based feature selection for regression and its application to neural activity A Navot, L Shpigelman, N Tishby, E Vaadia | 142 | 2006 |
Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model A Zaidel, A Spivak, L Shpigelman, H Bergman, Z Israel Movement disorders 24 (12), 1785-1793, 2009 | 129 | 2009 |
Kernel-ARMA for hand tracking and brain-machine interfacing during 3D motor control L Shpigelman, H Lalazar, E Vaadia Advances in neural information processing systems 21, 2008 | 79 | 2008 |
Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces L Shpigelman, Y Singer, R Paz, E Vaadia Neural Computation 17 (3), 671-690, 2005 | 48 | 2005 |
Common modulation of limbic network activation underlies musical emotions as they unfold N Singer, N Jacoby, T Lin, G Raz, L Shpigelman, G Gilam, RY Granot, ... Neuroimage 141, 517-529, 2016 | 37 | 2016 |
Method and system for outcome based referral using healthcare data of patient and physician populations S Ebadollahi, J Hu, MS Kohn, JD Laserson, H Neuvirth-Telem, ... US Patent 8,660,857, 2014 | 37 | 2014 |
Automatic analysis of log entries through use of clustering Y Fernandess, O Rodeh, L Shpigelman US Patent 8,230,259, 2012 | 29 | 2012 |
Spikernels: Embedding spiking neurons in inner-product spaces L Shpigelman, Y Singer, R Paz, E Vaadia Advances in neural information processing systems 15, 2002 | 28 | 2002 |
A Unified Framework for Outlier Detection in Trace Data Analysis LS Zhiguo Li, Robert J. Baseman, Yada Zhu, Fateh A. Tipu, Noam Slonim IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING 27 (1), 95--103, 2014 | 19* | 2014 |
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities L Shpigelman, K Crammer, Y Singer, R Paz, E Vaadia Toward Brain-computer Interfacing, 191, 2007 | 12 | 2007 |
Psychophysiological whole‐brain network clustering based on connectivity dynamics analysis in naturalistic conditions G Raz, L Shpigelman, Y Jacob, T Gonen, Y Benjamini, T Hendler Human brain mapping 37 (12), 4654-4672, 2016 | 11 | 2016 |
Automatic analysis of log entries through use of clustering Y Fernandess, O Rodeh, L Shpigelman US Patent 8,386,854, 2013 | 10 | 2013 |
Smarter log analysis E Aharoni, S Fine, Y Goldschmidt, O Lavi, O Margalit, M Rosen-Zvi, ... IBM Journal of Research and Development 55 (5), 10: 1-10: 10, 2011 | 9 | 2011 |
Advances in Neural Information Processing Systems L Shpigelman, H Lalazar, E Vaadia MIT Press, 2009 | 7 | 2009 |
Interactive tool for causal graph construction O Weissbrod, C Yanover, L Shpigelman US Patent 10,699,450, 2020 | 4 | 2020 |
A data-driven decision-support tool for population health policies M Chorev, L Shpigelman, P Bak, A Yaeli, E Michael, Y Goldschmidt MEDINFO 2017: Precision Healthcare through Informatics, 332-336, 2017 | 2 | 2017 |
Estimating the impact of prevention action: a simulation model of cervical cancer progression M Rosen-Zvi, L Shpigelman, A Kalton, O Weissbrod, S Akindeinde, ... e-Health–For Continuity of Care, 288-292, 2014 | 2 | 2014 |
Advances in Neural Information Processing Systems A Navot, L Shpigelman, N Tishby, E Vaadia MIT Press, 2006 | 2 | 2006 |
Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG HG Yamin, G Gurevitch, T Gazit, L Shpigelman, I Fried, Y Nir, Y Benjamini, ... Iscience 26 (4), 2023 | 1 | 2023 |
Modelling Disease Progression and Intervention Effects Using Non-Clinical Information Proxies for Clinical Information S Akineinde, M Rosen-Zvi, L Shpigelman, O Weissbrod US Patent App. 14/604,731, 2017 | | 2017 |