Michal Rosen Zvi
Michal Rosen Zvi
Senior manager, Analytic Department, IBM Research - Haifa
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Cited by
Cited by
The author-topic model for authors and documents
M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth
arXiv preprint arXiv:1207.4169, 2012
Probabilistic author-topic models for information discovery
M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Exponential family harmoniums with an application to information retrieval
M Welling, M Rosen-Zvi, GE Hinton
Advances in neural information processing systems, 1481-1488, 2005
Learning author-topic models from text corpora
M Rosen-Zvi, C Chemudugunta, T Griffiths, P Smyth, M Steyvers
ACM Transactions on Information Systems (TOIS) 28 (1), 1-38, 2010
Learning author-topic models from text corpora
M Rosen-Zvi, C Chemudugunta, T Griffiths, P Smyth, M Steyvers
ACM Transactions on Information Systems (TOIS) 28 (1), 1-38, 2010
Hidden topic markov models
A Gruber, Y Weiss, M Rosen-Zvi
Artificial intelligence and statistics, 163-170, 2007
Selecting anti-HIV therapies based on a variety of genomic and clinical factors
M Rosen-Zvi, A Altmann, M Prosperi, E Aharoni, H Neuvirth, ...
Bioinformatics 24 (13), i399-i406, 2008
Mutual learning in a tree parity machine and its application to cryptography
M Rosen-Zvi, E Klein, I Kanter, W Kinzel
Physical Review E 66 (6), 066135, 2002
Latent topic models for hypertext
A Gruber, M Rosen-Zvi, Y Weiss
arXiv preprint arXiv:1206.3254, 2012
Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy
A Altmann, M Rosen-Zvi, M Prosperi, E Aharoni, H Neuvirth, E Schülter, ...
PloS one 3 (10), 2008
Toward personalized care management of patients at risk: the diabetes case study
H Neuvirth, M Ozery-Flato, J Hu, J Laserson, MS Kohn, S Ebadollahi, ...
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment
MCF Prosperi, A Altmann, M Rosen-Zvi, E Aharoni, G Borgulya, F Bazso, ...
Antivir Ther 14 (3), 433-42, 2009
Cryptography based on neural networks—analytical results
M Rosen-Zvi, I Kanter, W Kinzel
Journal of Physics A: Mathematical and General 35 (47), L707, 2002
Prediction of response to antiretroviral therapy by human experts and by the EuResist data‐driven expert system (the EVE study)
M Zazzi, R Kaiser, A Sönnerborg, D Struck, A Altmann, M Prosperi, ...
HIV medicine 12 (4), 211-218, 2011
Method and system for evaluating a machine tool operating characteristics
E Aharoni, RJ Baseman, R Kei, O Margalit, K Mackey, M Rosen-Zvi, ...
US Patent 8,285,414, 2012
Predicting response to antiretroviral treatment by machine learning: the EuResist project
M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi, T Lengauer, A Altmann, ...
Intervirology 55 (2), 123-127, 2012
Detection of drug resistance mutations at low plasma HIV-1 RNA load in a European multicentre cohort study
MCF Prosperi, N Mackie, S Di Giambenedetto, M Zazzi, R Camacho, ...
Journal of antimicrobial chemotherapy 66 (8), 1886-1896, 2011
Antiretroviral therapy optimisation without genotype resistance testing: a perspective on treatment history based models
MCF Prosperi, M Rosen-Zvi, A Altmann, M Zazzi, S Di Giambenedetto, ...
PloS one 5 (10), 2010
Changing the approach to treatment choice in epilepsy using big data
O Devinsky, C Dilley, M Ozery-Flato, R Aharonov, Y Goldschmidt, ...
Epilepsy & Behavior 56, 32-37, 2016
On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks
P Baldi, M Rosen-Zvi
Neural Networks 18 (8), 1080-1086, 2005
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