Michal Rosen-Zvi

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Maurizio ZazziProfessor of Microbiology, University of SienaVerified email at unisi.it
Michal Ozery-FlatoResearch Staff Member at IBM ResearchVerified email at il.ibm.com
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Andre AltmannUCLVerified email at ucl.ac.uk
Mattia ProsperiUniversity of FloridaVerified email at ufl.edu
ido kanterProfessor of Physics, Department of Physics, Bar Ilan UniversityVerified email at biu.ac.il
Jianying Hu, Fellow IEEE, FACMI, Fell...IBM Thomas J. Wastson Research CenterVerified email at us.ibm.com
Yair WeissProfessor of Computer Science, Hebrew UniversityVerified email at mail.huji.ac.il
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Wolfgang KinzelProfessor für Theoretische PhysikVerified email at physik.uni-wuerzburg.de
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Chaitanya ChemuduguntaDirector of Science, PandoraVerified email at ics.uci.edu
Lavi ShpigelmanOcado TechnologyVerified email at ocado.com
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Michael BiehlUniversity of Groningen, Bernoulli InstituteVerified email at rug.nl
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Shai FineHead of the Data Science Institute, Reichamn University (IDC)Verified email at runi.ac.il

Michal Rosen-Zvi

Director IBM Research

Verified email at il.ibm.com - Homepage

Machine Learning AI Health Informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The author-topic model for authors and documents M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth arXiv preprint arXiv:1207.4169, 2012	2213	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	885	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	611	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	426	2010
Hidden topic markov models A Gruber, Y Weiss, M Rosen-Zvi Artificial intelligence and statistics, 163-170, 2007	406	2007
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	194	2019
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	185	2012
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	99	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	86	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	83	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	83	2002
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	77	2016
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	74	2008
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	73	2012
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	73	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	72	2022
Latent topic models for hypertext A Gruber, M Rosen-Zvi, Y Weiss arXiv preprint arXiv:1206.3254, 2012	69	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	66	2009
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	58	2022
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	56	2011

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