Michal Rosen-Zvi

发表

Learning author-topic models from text corpora

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2010, TOIS.

Hidden Topic Markov Models

Michal Rosen-Zvi, Yair Weiss, Amit Gruber, 2007, AISTATS.

Probabilistic Graphical Models of Dyslexia

Gal Chechik, Naama Friedmann, Michal Rosen-Zvi, 2015, KDD.

Smarter log analysis

Michal Rosen-Zvi, Shai Fine, Oded Margalit, 2011, IBM J. Res. Dev..

Integrated multisystem analysis in a mental health and criminal justice ecosystem

Chen Yanover, Michal Rosen-Zvi, Tal El-Hay, 2014, AMIA.

History-alignment models for bias-aware prediction of virological response to HIV combination therapy

Thomas Lengauer, Michal Rosen-Zvi, Jasmina Bogojeska, 2012, AISTATS.

HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods

Joachim Selbig, Michal Rosen-Zvi, Ehud Aharoni, 2009, Similarity-Based Clustering.

Novel Uncertainty Framework for Deep Learning Ensembles pdf

Tal Kachman, Michal Rosen-Zvi, Michal Moshkovitz, 2019, ArXiv.

Boosting conditional probability estimators

Aryeh Kontorovich, Michal Rosen-Zvi, Dan Gutfreund, 2017, Annals of Mathematics and Artificial Intelligence.

Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression

Chalapathy Neti, Guo Tong Xie, Michal Rosen-Zvi, 2014, MIE.

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19 pdf

Bharath Dandala, Sekou Remy, Michal Rosen-Zvi, 2020, ArXiv.

The DLR Hierarchy of Approximate Inference pdf

Michael I. Jordan, Alan L. Yuille, Michal Rosen-Zvi, 2005, UAI.

Probabilistic author-topic models for information discovery

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2004, KDD.

WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19.

Bharath Dandala, Pooja Guhan, Sekou Remy, 2020, 2009.07057.

The Author-Topic Model for Authors and Documents

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2004, UAI.

Cryptography based on neural networks—analytical results

Wolfgang Kinzel, Ido Kanter, Michal Rosen-Zvi, 2002 .

Toward personalized care management of patients at risk: the diabetes case study

Shahram Ebadollahi, Jianying Hu, Michal Rosen-Zvi, 2011, KDD.

Approximate inference by Markov chains on union spaces

Yee Whye Teh, Max Welling, Michal Rosen-Zvi, 2004, ICML '04.

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

Thomas Lengauer, Yardena Peres, Michal Rosen-Zvi, 2008, ISMB.

Latent Topic Models for Hypertext

Michal Rosen-Zvi, Yair Weiss, Amit Gruber, 2008, UAI.

Information technology for healthcare transformation

Paul P. Maglio, Jimeng Sun, Shahram Ebadollahi, 2011, IBM J. Res. Dev..

On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks

Pierre Baldi, Michal Rosen-Zvi, P. Baldi, 2005, Neural Networks.

Proceedings of the First International Workshop on Data Mining for Service and Maintenance

R. Bharat Rao, Shipeng Yu, Michal Rosen-Zvi, 2011, KDD 2011.

Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms

Michal Ozery-Flato, Michal Rosen-Zvi, Mika Amit, 2021, MLMI@MICCAI.

On the role of artificial intelligence in medical imaging of COVID-19

Deepta Rajan, David Beymer, Maria Gabrani, 2021, Patterns.

Lessons from the first DBTex Challenge

Michal Rosen-Zvi, Linda Moy, Krzysztof Geras, 2021, Nat. Mach. Intell..

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next

Ender Konukoglu, David Beymer, Gustavo Carneiro, 2021, CLIP/DCL/LL-COVID19/PPML@MICCAI.

On the role of artificial intelligence in medical imaging of COVID-19

Deepta Rajan, David Beymer, Maria Gabrani, 2021, Patterns.

Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment

Giovanni Ulivi, Michal Rosen-Zvi, Anne-Mieke Vandamme, 2008, Antiviral therapy.

Changing the approach to treatment choice in epilepsy using big data

Michal Ozery-Flato, Michal Rosen-Zvi, Orrin Devinsky, 2016, Epilepsy & Behavior.

Learnability of periodic activation functions: General results

Michael Biehl, Ido Kanter, Michal Rosen-Zvi, 1998 .

Efficacy of Antiretroviral Therapy Switch in HIV-Infected Patients: A 10-Year Analysis of the EuResist Cohort

Yardena Peres, Rolf Kaiser, Michal Rosen-Zvi, 2012, Intervirology.

Correction: Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models

Rolf Kaiser, Michal Rosen-Zvi, Anne-Mieke Vandamme, 2011, PLoS ONE.

The EuResist Approach for Predicting Response to Anti HIV-1 Therapy

Joachim Büch, Thomas Lengauer, Yardena Peres, 2008 .

Time series prediction by feedforward neural networks—is it difficult?

Wolfgang Kinzel, Ido Kanter, Michal Rosen-Zvi, 2003 .

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Roie Melamed, Michal Rosen-Zvi, Ayelet Akselrod-Ballin, 2019, Radiology.

Mutual learning in a tree parity machine and its application to cryptography.

Wolfgang Kinzel, Einat Klein, Ido Kanter, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.