Robert Moskovitch

发表

Temporal data analytics

Fei Wang, Yuval Shahar, George Hripcsak, 2016, J. Biomed. Informatics.

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

Analysis of ICU Patients Using the Time Series Knowledge Mining Method

Evert de Jonge, Yuval Shahar, Allan Tucker, 2007 .

Detecting unknown computer worm activity via support vector machines and active learning

Lior Rokach, Yuval Elovici, Nir Nissim, 2012, Pattern Analysis and Applications.

DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines

Yuval Shahar, Robert Moskovitch, Erez Shalom, 2003, AIME.

Clustering di-graphs for continuously verifying users according to their typing patterns

Lior Rokach, Yuval Elovici, Robert Moskovitch, 2010, 2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel.

The Digital Electronic Guideline Library (DeGeL): A Hybrid Framework for Representation and Use of Clinical Guidelines

Yuval Shahar, Robert Moskovitch, Erez Shalom, 2002, CGP.

The Semantic Adjacency Criterion in Time Intervals Mining pdf

Yuval Shahar, Robert Moskovitch, Alexander Shknevsky, 2021, ArXiv.

Decompiled APK based malicious code classification

Robert Moskovitch, Oded Margalit, Roni Mateless, 2020, Future Gener. Comput. Syst..

Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey

Yuval Elovici, Chanan Glezer, Asaf Shabtai, 2009, Inf. Secur. Tech. Rep..

Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining

Yuval Shahar, Yuval Elovici, Chanan Glezer, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Fast time intervals mining using the transitivity of temporal relations

Yuval Shahar, Robert Moskovitch, Yuval Shahar, 2013, Knowledge and Information Systems.

Hierarchical Expansion for Concept-based Search

Yuval Shahar, Robert Moskovitch, Roee Sa'adon, 2007 .

A Chronological Evaluation of Unknown Malcode Detection

Yuval Elovici, Robert Moskovitch, Clint Feher, 2009, PAISI.

Classification-driven temporal discretization of multivariate time series

Yuval Shahar, Robert Moskovitch, 2014, Data Mining and Knowledge Discovery.

Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings

Yuzuru Tanaka, Randy Goebel, Martin Michalowski, 2020, AIME.

User identity verification via mouse dynamics

Lior Rokach, Yuval Elovici, Alon Schclar, 2012, Inf. Sci..

Temporal biomedical data analytics

Fei Wang, Yuval Shahar, George Hripcsak, 2019, J. Biomed. Informatics.

Using artificial neural networks to detect unknown computer worms

Yuval Shahar, Zvi Boger, Yuval Elovici, 2009, Neural Computing and Applications.

Outcomes Prediction via Time Intervals Related Patterns

Fei Wang, George Hripcsak, Nicholas P. Tatonetti, 2015, 2015 IEEE International Conference on Data Mining.

Temporal pattern-based malicious activity detection in SCADA systems

Meir Kalech, Robert Moskovitch, Amit Shlomo, 2020, Comput. Secur..

Malicious Code Detection Using Active Learning

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2009, PinKDD.

Vaidurya - A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines

Yuval Shahar, Robert Moskovitch, Alon Hessing, 2004, MedInfo.

Application of Artificial Neural Networks Techniques to Computer Worm Detection

Yuval Shahar, Zvi Boger, Yuval Elovici, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Acute Hypertensive Episodes Prediction

Tavpritesh Sethi, Robert Moskovitch, Rakesh Lodha, 2020, AIME.

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework

Yuval Elovici, Asaf Shabtai, Nir Nissim, 2016, Security Informatics.

Active learning to improve the detection of unknown computer worms activity

Yuval Elovici, Roman Englert, Nir Nissim, 2008, 2008 11th International Conference on Information Fusion.

JASIST special issue on biomedical information retrieval

Fei Wang, Jian Pei, Carol Friedman, 2017, J. Assoc. Inf. Sci. Technol..

Detection ofUnknownComputer WormsActivity Basedon Computer Behavior using DataMining

Yuval Shahar, Robert Moskovitch, Clint Feher, 2007 .

Novel active learning methods for enhanced PC malware detection in windows OS

Lior Rokach, Yuval Elovici, Nir Nissim, 2014, Expert Syst. Appl..

Continuous Verification Using Keystroke Dynamics

Lior Rokach, Yuval Elovici, Robert Moskovitch, 2010, 2010 International Conference on Computational Intelligence and Security.

Falls Prediction in Care Homes Using Mobile App Data Collection

Robert Moskovitch, Paul Wolfson, Ofir Dvir, 2020, AIME.

Detection of unknown computer worms based on behavioral classification of the host

Lior Rokach, Yuval Elovici, Robert Moskovitch, 2008, Comput. Stat. Data Anal..

THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection pdf

Michael Segal, Robert Moskovitch, Roni Mateless, 2019, Perform. Evaluation.

Improving Worm Detection with Artificial Neural Networks through Feature Selection and Temporal Analysis Techniques

Yuval Shahar, Zvi Boger, Yuval Elovici, 2008 .

Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine

Yuval Shahar, Robert Moskovitch, Yuval Shahar, 2009, J. Biomed. Informatics.

Classification of multivariate time series via temporal abstraction and time intervals mining

Yuval Shahar, Robert Moskovitch, Yuval Shahar, 2015, Knowledge and Information Systems.

Consistent discovery of frequent interval-based temporal patterns in chronic patients' data

Yuval Shahar, Robert Moskovitch, Alexander Shknevsky, 2017, J. Biomed. Informatics.

Application of Information Technology: A Comparative Evaluation of Full-text, Concept-based, and Context-sensitive Search

Yuval Shahar, Susana B. Martins, Robert Moskovitch, 2007, J. Am. Medical Informatics Assoc..

Malicious Code Detection and Acquisition Using Active Learning

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2007, 2007 IEEE Intelligence and Security Informatics.

Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic

Yuval Elovici, Chanan Glezer, Asaf Shabtai, 2007, KI.

A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Guidelines

Yuval Shahar, Robert Moskovitch, 2004, CGP.

Multiple hierarchical classification of free-text clinical guidelines

Yuval Shahar, Robert Moskovitch, Shiva Cohen-Kashi, 2006, Artif. Intell. Medicine.

Detecting unknown malicious code by applying classification techniques on OpCode patterns

Yuval Elovici, Shlomi Dolev, Asaf Shabtai, 2012, Security Informatics.

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

Unknown malcode detection — A chronological evaluation

Yuval Elovici, Robert Moskovitch, Clint Feher, 2008, 2008 IEEE International Conference on Intelligence and Security Informatics.

Host Based Intrusion Detection using Machine Learning

Yuval Shahar, Yuval Elovici, Yisrael Parmet, 2007, 2007 IEEE Intelligence and Security Informatics.

ALDROID: efficient update of Android anti-virus software using designated active learning methods

Lior Rokach, Yuval Elovici, Nir Nissim, 2016, Knowledge and Information Systems.

Identifying risk conditions for fireblight infection using artificial neural networks based on rare events

Robert Moskovitch, Dima Stopel, Ilaria Pertot, 2006 .

All-Cause Mortality Prediction in T2D Patients

Robert Moskovitch, Pavel Novitski, Varda Shalev, 2020, AIME.

Optimization of Fire blight scouting with a decision support system based on infection risk

Tsvi Kuflik, Robert Moskovitch, Ilaria Pertot, 2008 .

Unknown malcode detection via text categorization and the imbalance problem

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2008, 2008 IEEE International Conference on Intelligence and Security Informatics.

Identity theft, computers and behavioral biometrics

Sebastian Möller, Lior Rokach, Yuval Elovici, 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.

ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files

Yuval Elovici, Nir Nissim, Aviad Cohen, 2014, 2014 IEEE Joint Intelligence and Security Informatics Conference.

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection

George Hripcsak, Nicholas P. Tatonetti, Hyunmi Choi, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Medical Temporal-Knowledge Discovery via Temporal Abstraction

Yuval Shahar, Robert Moskovitch, Yuval Shahar, 2009, AMIA.

Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content

Yuval Elovici, Asaf Shabtai, Robert Moskovitch, 2011, Secur. Commun. Networks.

Helping Physicians to Organize Guidelines Within Conceptual Hierarchies

Diego Sona, Paolo Avesani, Robert Moskovitch, 2005, AIME.

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods

Yuval Shahar, George Hripcsak, Yuval Elovici, 2017, Artif. Intell. Medicine.

Improving the Detection of Unknown Computer Worms Activity Using Active Learning

Yuval Elovici, Roman Englert, Nir Nissim, 2007, KI.

Unknown Malcode Detection Using OPCODE Representation

Yuval Elovici, Shlomi Dolev, Robert Moskovitch, 2008, EuroISI.

Unknown malcode detection and the imbalance problem

Yuval Elovici, Nathalie Japkowicz, Nir Nissim, 2009, Journal in Computer Virology.

Temporal Discretization of medical time series - A comparative study

Evert de Jonge, Yuval Shahar, Marion Verduijn, 2007 .

Pkg2Vec: Hierarchical package embedding for code authorship attribution

Robert Moskovitch, Roni Mateless, Oren Tsur, 2021, Future Gener. Comput. Syst..

Procedure prediction from symbolic Electronic Health Records via time intervals analytics

Patrick B. Ryan, Fernanda Polubriaginof, Nicholas P. Tatonetti, 2017, J. Biomed. Informatics.

Experiments with Hierarchical Concept-Based Search

Yuval Shahar, Susana B. Martins, Robert Moskovitch, 2007, MedInfo.

Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining

Yuval Shahar, Yuval Elovici, Chanan Glezer, 2007, CISDA.

A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools

Yuval Shahar, Robert Moskovitch, Erez Shalom, 2004, J. Biomed. Informatics.

IPvest: Clustering the IP Traffic of Network Entities Hidden Behind a Single IP Address Using Machine Learning

Michael Segal, Robert Moskovitch, Liran Orevi, 2021, IEEE Transactions on Network and Service Management.

Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis

Robert Moskovitch, Victor Novack, Maya Schvetz, 2021, J. Biomed. Informatics.

Complete Closed Time Intervals-Related Patterns Mining

Robert Moskovitch, Omer David Harel, Robert Moskovitch, 2021, AAAI.

A Multiple-Ontology Template-Based Query Interface for a Clinical-Guidelines Search Engine

Yuval Shahar, Robert Moskovitch, Akiva Leibowitz, 2006 .

Acquisition of Malicious Code Using Active Learning

Robert Moskovitch, Deutche Telekom, 2008 .

Multi-Classification of Clinical Guidelines in Concept Hierarchies

Diego Sona, Paolo Avesani, Robert Moskovitch, 2005 .

Temporal Data Mining Based on Temporal Abstractions

Yuval Shahar, Robert Moskovitch, 2005 .

Unknown Malicious Code Detection – Practical Issues

Yuval Elovici, Robert Moskovitch, Y. Elovici, 2008 .