Robert Moskovitch

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 39

Top Topics

Activity Detection

Temporal Patterns

Active Learning

Top Venues

J. Biomed. Informatics

Knowl. Inf. Syst.

Artif. Intell. Medicine

Publications

Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint). AAAI (2024)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data. SDM (2024)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Event prediction by estimating continuously the completion of a single temporal pattern's instances. J. Biomed. Informatics 156 (2024)
Omer David Harel, Robert Moskovitch
TIRPClo: efficient and complete mining of time intervals-related patterns. Data Min. Knowl. Discov. 37 (5) (2023)
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
The Semantic Adjacency Criterion in Time Intervals Mining. Big Data Cogn. Comput. 7 (4) (2023)
Omer David Harel, Robert Moskovitch
INSTINCT: Inception-based Symbolic Time Intervals series classification. Inf. Sci. 642 (2023)
Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla
Introduction to the Special Track on Artificial Intelligence and COVID-19. J. Artif. Intell. Res. 76 (2023)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Continuously Predicting the Completion of a Time Intervals Related Pattern. PAKDD (1) (2023)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Continuous prediction of a time intervals-related pattern's completion. Knowl. Inf. Syst. 65 (11) (2023)
Nofar Sarafian Ben Ari, Robert Moskovitch
Predictive temporal patterns discovery. Expert Syst. Appl. 226 (2023)
Nevo Itzhak, Itai M. Pessach, Robert Moskovitch
Prediction of acute hypertensive episodes in critically ill patients. Artif. Intell. Medicine 139 (2023)
Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch
Classification of Univariate Time Series via Temporal Abstraction and Deep Learning. Big Data (2022)
Guy Shitrit, Noam Tractinsky, Robert Moskovitch
Visualization of frequent temporal patterns in single or two populations. J. Biomed. Informatics 134 (2022)
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
All-cause mortality prediction in T2D patients with iTirps. Artif. Intell. Medicine 130 (2022)
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Gabriel Hodik, Robert Moskovitch
Temporal patterns selection for All-Cause Mortality prediction in T2D with ANNs. J. Biomed. Informatics 134 (2022)
Robert Moskovitch
Multivariate temporal data analysis - a review. WIREs Data Mining Knowl. Discov. 12 (1) (2022)
Maya Schvetz, Lior Fuchs, Victor Novack, Robert Moskovitch
. J. Biomed. Informatics 117 (2021)
Roni Mateless, Haim Zlatokrilov, Liran Orevi, Michael Segal, Robert Moskovitch
IPvest: Clustering the IP Traffic of Network Entities Hidden Behind a Single IP Address Using Machine Learning. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Omer David Harel, Robert Moskovitch
Complete Closed Time Intervals-Related Patterns Mining. AAAI (2021)
Roni Mateless, Oren Tsur, Robert Moskovitch
Pkg2Vec: Hierarchical package embedding for code authorship attribution. Future Gener. Comput. Syst. 116 (2021)
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
The Semantic Adjacency Criterion in Time Intervals Mining. CoRR (2021)
Amit Shlomo, Meir Kalech, Robert Moskovitch
Temporal pattern-based malicious activity detection in SCADA systems. Comput. Secur. 102 (2021)
Roni Mateless, Michael Segal, Robert Moskovitch
THAAD: Efficient matching queries under temporal abstraction for anomaly detection. Perform. Evaluation (2021)
Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch
Acute Hypertensive Episodes Prediction. AIME (2020)
Roni Mateless, Daniel Rejabek, Oded Margalit, Robert Moskovitch
Decompiled APK based malicious code classification. Future Gener. Comput. Syst. 110 (2020)
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
All-Cause Mortality Prediction in T2D Patients. AIME (2020)
Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch
Falls Prediction in Care Homes Using Mobile App Data Collection. AIME (2020)
Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019)
Meir Kalech, Amit Shlomo, Robert Moskovitch
Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement). CSCML (2019)
Roni Mateless, Michael Segal, Robert Moskovitch
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection. CoRR (2019)
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
Consistent discovery of frequent interval-based temporal patterns in chronic patients' data. J. Biomed. Informatics 75 (2017)
Robert Moskovitch, Fei Wang, Jian Pei, Carol Friedman
special issue on biomedical information retrieval. J. Assoc. Inf. Sci. Technol. 68 (11) (2017)
Robert Moskovitch, Hyunmi Choi, George Hripcsak, Nicholas P. Tatonetti
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine 81 (2017)
Robert Moskovitch, Fernanda Polubriaginof, Aviram Weiss, Patrick B. Ryan, Nicholas P. Tatonetti
Procedure prediction from symbolic Electronic Health Records via time intervals analytics. J. Biomed. Informatics 75 (2017)
Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak
Temporal data analytics. J. Biomed. Informatics 62 (2016)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework. Secur. Informatics 5 (1) (2016)
Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch
Improving condition severity classification with an efficient active learning based framework. J. Biomed. Informatics 61 (2016)
Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici
ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. 49 (3) (2016)
Robert Moskovitch, Yuval Shahar
Classification of multivariate time series via temporal abstraction and time intervals mining. Knowl. Inf. Syst. 45 (1) (2015)
Robert Moskovitch, Yuval Shahar
Classification-driven temporal discretization of multivariate time series. Data Min. Knowl. Discov. 29 (4) (2015)
Robert Moskovitch, Yuval Shahar
Fast time intervals mining using the transitivity of temporal relations. Knowl. Inf. Syst. 42 (1) (2015)
Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak
An Active Learning Framework for Efficient Condition Severity Classification. AIME (2015)
Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti
Outcomes Prediction via Time Intervals Related Patterns. ICDM (2015)
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
Novel active learning methods for enhanced PC malware detection in windows OS. Expert Syst. Appl. 41 (13) (2014)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. JISIC (2014)
Asaf Shabtai, Robert Moskovitch, Clint Feher, Shlomi Dolev, Yuval Elovici
Detecting unknown malicious code by applying classification techniques on OpCode patterns. Secur. Informatics 1 (1) (2012)
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl. 15 (4) (2012)
Clint Feher, Yuval Elovici, Robert Moskovitch, Lior Rokach, Alon Schclar
User identity verification via mouse dynamics. Inf. Sci. 201 (2012)
Asaf Shabtai, Dennis Potashnik, Yuval Fledel, Robert Moskovitch, Yuval Elovici
Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content. Secur. Commun. Networks 4 (8) (2011)
Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici
Continuous Verification Using Keystroke Dynamics. CIS (2010)
Dima Stopel, Robert Moskovitch, Zvi Boger, Yuval Shahar, Yuval Elovici
Using artificial neural networks to detect unknown computer worms. Neural Comput. Appl. 18 (7) (2009)
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
Unknown malcode detection and the imbalance problem. J. Comput. Virol. 5 (4) (2009)
Robert Moskovitch, Yuval Shahar
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine. J. Biomed. Informatics 42 (1) (2009)
Robert Moskovitch, Clint Feher, Yuval Elovici
A Chronological Evaluation of Unknown Malcode Detection. PAISI (2009)
Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet Çamtepe, Bernhard Löhlein, Ulrich Heister, Sebastian Möller, Lior Rokach, Yuval Elovici
Identity theft, computers and behavioral biometrics. ISI (2009)
Robert Moskovitch, Yuval Shahar
Medical Temporal-Knowledge Discovery via Temporal Abstraction. AMIA (2009)
Asaf Shabtai, Robert Moskovitch, Yuval Elovici, Chanan Glezer
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey. Inf. Secur. Tech. Rep. 14 (1) (2009)
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici
Unknown malcode detection via text categorization and the imbalance problem. ISI (2008)
Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici
Active learning to improve the detection of unknown computer worms activity. FUSION (2008)
Robert Moskovitch, Clint Feher, Yuval Elovici
Unknown malcode detection - A chronological evaluation. ISI (2008)
Robert Moskovitch, Nir Nissim, Yuval Elovici
Malicious Code Detection Using Active Learning. PinKDD (2008)
Robert Moskovitch, Yuval Elovici, Lior Rokach
Detection of unknown computer worms based on behavioral classification of the host. Comput. Stat. Data Anal. 52 (9) (2008)
Robert Moskovitch, Clint Feher, Nir Tzachar, Eugene Berger, Marina Gitelman, Shlomi Dolev, Yuval Elovici
Unknown Malcode Detection Using OPCODE Representation. EuroISI (2008)
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici
Improving the Detection of Unknown Computer Worms Activity Using Active Learning. KI (2007)
Yuval Elovici, Asaf Shabtai, Robert Moskovitch, Gil Tahan, Chanan Glezer
Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic. KI (2007)
Robert Moskovitch, Susana B. Martins, Eytan Behiri, Aviram Weiss, Yuval Shahar
Application of Information Technology: A Comparative Evaluation of Full-text, Concept-based, and Context-sensitive Search. J. Am. Medical Informatics Assoc. 14 (2) (2007)
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Clint Feher, Chanan Glezer, Yuval Shahar, Yuval Elovici
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining. CIDM (2007)
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima Stopel, Clint Feher, Yisrael Parmet, Yuval Shahar, Yuval Elovici
Host Based Intrusion Detection using Machine Learning. ISI (2007)
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Chanan Glezer, Yuval Shahar, Yuval Elovici
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining. CISDA (2007)
Robert Moskovitch, Nir Nissim, Yuval Elovici
Malicious Code Detection and Acquisition Using Active Learning. ISI (2007)
Robert Moskovitch, Roee Sa'adon, Eytan Behiri, Susana B. Martins, Aviram Weiss, Yuval Shahar
Experiments with Hierarchical Concept-Based Search. MedInfo (2007)
Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici
Application of Artificial Neural Networks Techniques to Computer Worm Detection. IJCNN (2006)
Robert Moskovitch, Shiva Cohen-Kashi, Uzi Dror, Iftah Levy, Amit Maimon, Yuval Shahar
Multiple hierarchical classification of free-text clinical guidelines. Artif. Intell. Medicine 37 (3) (2006)
Diego Sona, Paolo Avesani, Robert Moskovitch
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. AIME (2005)
Yuval Shahar, Ohad Young, Erez Shalom, Alon Mayaffit, Robert Moskovitch, Alon Hessing, Maya Galperin
The Digital Electronic Guideline Library (DeGeL): A Hybrid Framework for Representation and Use of Clinical Guidelines. CGP (2004)
Robert Moskovitch, Alon Hessing, Yuval Shahar
Vaidurya - A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines. MedInfo (2004)
Yuval Shahar, Ohad Young, Erez Shalom, Maya Galperin, Alon Mayaffit, Robert Moskovitch, Alon Hessing
A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools. J. Biomed. Informatics 37 (5) (2004)
Robert Moskovitch, Yuval Shahar
A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Guidelines. CGP (2004)
Yuval Shahar, Ohad Young, Erez Shalom, Alon Mayaffit, Robert Moskovitch, Alon Hessing, Maya Galperin
DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines. AIME (2003)