Michal Rosen-Zvi

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Maurizio ZazziProfessor of Microbiology, University of SienaZweryfikowany adres z unisi.it
Mark SteyversUniversity of California, IrvineZweryfikowany adres z uci.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityZweryfikowany adres z princeton.edu
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineZweryfikowany adres z ics.uci.edu
Michal Ozery-FlatoResearch Staff Member at IBM ResearchZweryfikowany adres z il.ibm.com
Andre AltmannUCLZweryfikowany adres z ucl.ac.uk
Mattia ProsperiUniversity of FloridaZweryfikowany adres z ufl.edu
ido kanterProfessor of Physics, Department of Physics, Bar Ilan UniversityZweryfikowany adres z biu.ac.il
Yair WeissProfessor of Computer Science, Hebrew UniversityZweryfikowany adres z mail.huji.ac.il
Jianying Hu, Fellow IEEE, FACMI, Fell...IBM Thomas J. Wastson Research CenterZweryfikowany adres z us.ibm.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamZweryfikowany adres z uva.nl
Chaitanya ChemuduguntaDirector of Science, PandoraZweryfikowany adres z ics.uci.edu
Wolfgang KinzelProfessor für Theoretische PhysikZweryfikowany adres z physik.uni-wuerzburg.de
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoZweryfikowany adres z cs.toronto.edu
Pierre BaldiProfessor, University of California, IrvineZweryfikowany adres z ics.uci.edu
Lavi ShpigelmanOcado TechnologyZweryfikowany adres z ocado.com
Michael BiehlUniversity of Groningen, Bernoulli InstituteZweryfikowany adres z rug.nl
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyZweryfikowany adres z cs.berkeley.edu
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityZweryfikowany adres z jhu.edu
Shai FineHead of the Data Science Institute, Reichamn University (IDC)Zweryfikowany adres z runi.ac.il

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Michal Rosen-Zvi

Director IBM Research

Zweryfikowany adres z il.ibm.com - Strona główna

Machine Learning AI Health Informatics


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
The author-topic model for authors and documents M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth arXiv preprint arXiv:1207.4169, 2012	2201	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	884	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	425	2010
Hidden topic markov models A Gruber, Y Weiss, M Rosen-Zvi Artificial intelligence and statistics, 163-170, 2007	402	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	184	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	178	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	98	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	85	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	82	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	81	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	73	2016
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
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	73	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	71	2012
Latent topic models for hypertext A Gruber, M Rosen-Zvi, Y Weiss arXiv preprint arXiv:1206.3254, 2012	69	2012
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	65	2022
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	65	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	56	2011
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	50	2022

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