Michal Rosen-Zvi
Michal Rosen-Zvi
Director IBM Research
Geverifieerd e-mailadres voor il.ibm.com - Homepage
Geciteerd door
Geciteerd door
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 17, 2004
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
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 breast cancer by applying deep learning to linked health records and mammograms
A Akselrod-Ballin, M Chorev, Y Shoshan, A Spiro, A Hazan, R Melamed, ...
Radiology 292 (2), 331-342, 2019
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
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
On the role of artificial intelligence in medical imaging of COVID-19
J Born, D Beymer, D Rajan, A Coy, VV Mukherjee, M Manica, P Prasanna, ...
Patterns 2 (6), 2021
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
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), e3470, 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
Latent topic models for hypertext
A Gruber, M Rosen-Zvi, Y Weiss
arXiv preprint arXiv:1206.3254, 2012
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
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
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, ...
Antiviral therapy 14 (3), 433-442, 2009
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
Quantification of tumor heterogeneity: from data acquisition to metric generation
A Kashyap, MA Rapsomaniki, V Barros, A Fomitcheva-Khartchenko, ...
Trends in Biotechnology 40 (6), 647-676, 2022
Artificial intelligence for reducing workload in breast cancer screening with digital breast tomosynthesis
Y Shoshan, R Bakalo, F Gilboa-Solomon, V Ratner, E Barkan, ...
Radiology 303 (1), 69-77, 2022
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