Robert Moskovitch

91 papers A* 3A 1B 9C 8Misc 3Journal 52Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
A Bayesian Dual-Skill Framework for Roster-Based Cycling Race Outcome Prediction.
ISACE
Denis Rize, Paulo Saldanha, Robert Moskovitch
2025 J jnl
Improving DNNs for time-series classification using state and gradient abstraction-based preprocessing.
Neural Comput. Appl.
Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch
2025 J jnl
STORM: A MapReduce Framework for Symbolic Time Intervals Series Classification.
ACM Trans. Knowl. Discov. Data
Omer David Harel, Robert Moskovitch
2025 J jnl
Temporal ensemble of multiple patterns' instances for continuous prediction of events.
Mach. Learn.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2025 J jnl
Time-intervals-related pattern selection for continuous event prediction.
Pattern Recognit.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2025 J jnl
Visualization of Professional Cyclists Analytics.
SN Comput. Sci.
Denis Rize, Perry Sinai, Liam Holohan, Paulo Saldanha, Robert Moskovitch
2025 J jnl
Visualization of associative exploration of temporal concepts via frequent patterns.
Patterns
Tali Malenboim, Nir Grinberg, Robert Moskovitch
2024 — ed.
Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I
AIME (1)
Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli
2024 — ed.
Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part II
AIME (2)
Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli
2024 A conf
Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data.
SDM
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024 J jnl
Event prediction by estimating continuously the completion of a single temporal pattern's instances.
J. Biomed. Informatics
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024 A* conf
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint).
AAAI
Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla
2024 J jnl
Sleep apnea test prediction based on Electronic Health Records.
J. Biomed. Informatics
Lama Abu Tahoun, Amit Shay Green, Tal Patalon, Yaron Dagan, Robert Moskovitch
2024 — conf
The Velodrome - ProCyclists Data Analytics.
ISACE
Robert Moskovitch, Perry Sinai, Denis Rize, Liam Holohan, Paulo Saldanha
2023 J jnl
Continuous prediction of a time intervals-related pattern's completion.
Knowl. Inf. Syst.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2023 — conf
Continuously Predicting the Completion of a Time Intervals Related Pattern.
PAKDD (1)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2023 J jnl
INSTINCT: Inception-based Symbolic Time Intervals series classification.
Inf. Sci.
Omer David Harel, Robert Moskovitch
2023 J jnl
Introduction to the Special Track on Artificial Intelligence and COVID-19.
J. Artif. Intell. Res.
Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla
2023 J jnl
Prediction of acute hypertensive episodes in critically ill patients.
Artif. Intell. Medicine
Nevo Itzhak, Itai M. Pessach, Robert Moskovitch
2023 J jnl
Predictive temporal patterns discovery.
Expert Syst. Appl.
Nofar Sarafian Ben Ari, Robert Moskovitch
2023 J jnl
TIRPClo: efficient and complete mining of time intervals-related patterns.
Data Min. Knowl. Discov.
Omer David Harel, Robert Moskovitch
2023 J jnl
The Semantic Adjacency Criterion in Time Intervals Mining.
Big Data Cogn. Comput.
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
2022 J jnl
All-cause mortality prediction in T2D patients with iTirps.
Artif. Intell. Medicine
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
2022 B conf
Classification of Univariate Time Series via Temporal Abstraction and Deep Learning.
IEEE Big Data
Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch
2022 J jnl
Multivariate temporal data analysis - a review.
WIREs Data Mining Knowl. Discov.
Robert Moskovitch
2022 J jnl
Temporal patterns selection for All-Cause Mortality prediction in T2D with ANNs.
J. Biomed. Informatics
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Gabriel Hodik, Robert Moskovitch
2022 J jnl
Visualization of frequent temporal patterns in single or two populations.
J. Biomed. Informatics
Guy Shitrit, Noam Tractinsky, Robert Moskovitch
2021 A* conf
Complete Closed Time Intervals-Related Patterns Mining.
AAAI
Omer David Harel, Robert Moskovitch
2021 J jnl
IPvest: Clustering the IP Traffic of Network Entities Hidden Behind a Single IP Address Using Machine Learning.
IEEE Trans. Netw. Serv. Manag.
Roni Mateless, Haim Zlatokrilov, Liran Orevi, Michael Segal, Robert Moskovitch
2021 J jnl
Outcomes prediction in longitudinal data:
J. Biomed. Informatics
Maya Schvetz, Lior Fuchs, Victor Novack, Robert Moskovitch
2021 J jnl
Pkg2Vec: Hierarchical package embedding for code authorship attribution.
Future Gener. Comput. Syst.
Roni Mateless, Oren Tsur, Robert Moskovitch
2021 J jnl
THAAD: Efficient matching queries under temporal abstraction for anomaly detection.
Perform. Evaluation
Roni Mateless, Michael Segal, Robert Moskovitch
2021 J jnl
Temporal pattern-based malicious activity detection in SCADA systems.
Comput. Secur.
Amit Shlomo, Meir Kalech, Robert Moskovitch
2021 J jnl
The Semantic Adjacency Criterion in Time Intervals Mining.
CoRR
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
2020 B conf
Acute Hypertensive Episodes Prediction.
AIME
Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch
2020 B conf
All-Cause Mortality Prediction in T2D Patients.
AIME
Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
2020 B ed.
Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings
AIME
Martin Michalowski, Robert Moskovitch
2020 J jnl
Decompiled APK based malicious code classification.
Future Gener. Comput. Syst.
Roni Mateless, Daniel Rejabek, Oded Margalit, Robert Moskovitch
2020 B conf
Falls Prediction in Care Homes Using Mobile App Data Collection.
AIME
Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch
2019 J jnl
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection.
CoRR
Roni Mateless, Michael Segal, Robert Moskovitch
2019 — conf
Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement).
CSCML
Meir Kalech, Amit Shlomo, Robert Moskovitch
2019 J jnl
Temporal biomedical data analytics.
J. Biomed. Informatics
Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak
2017 J jnl
Consistent discovery of frequent interval-based temporal patterns in chronic patients' data.
J. Biomed. Informatics
Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
2017 J jnl
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.
Artif. Intell. Medicine
Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
2017 J jnl
Procedure prediction from symbolic Electronic Health Records via time intervals analytics.
J. Biomed. Informatics
Robert Moskovitch, Fernanda Polubriaginof, Aviram Weiss, Patrick B. Ryan, Nicholas P. Tatonetti
2017 J jnl
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Robert Moskovitch, Hyunmi Choi, George Hripcsak, Nicholas P. Tatonetti
2016 J jnl
ALDROID: efficient update of Android anti-virus software using designated active learning methods.
Knowl. Inf. Syst.
Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici
2016 J jnl
Improving condition severity classification with an efficient active learning based framework.
J. Biomed. Informatics
Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch
2016 J jnl
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.
Secur. Informatics
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici
2016 J jnl
Temporal data analytics.
J. Biomed. Informatics
Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak
2015 B conf
An Active Learning Framework for Efficient Condition Severity Classification.
AIME
Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak
2015 J jnl
Classification of multivariate time series via temporal abstraction and time intervals mining.
Knowl. Inf. Syst.
Robert Moskovitch, Yuval Shahar
2015 J jnl
Classification-driven temporal discretization of multivariate time series.
Data Min. Knowl. Discov.
Robert Moskovitch, Yuval Shahar
2015 J jnl
Fast time intervals mining using the transitivity of temporal relations.
Knowl. Inf. Syst.
Robert Moskovitch, Yuval Shahar
2015 A* conf
Outcomes Prediction via Time Intervals Related Patterns.
ICDM
Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti
2014 — conf
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files.
JISIC
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici
2014 J jnl
Novel active learning methods for enhanced PC malware detection in windows OS.
Expert Syst. Appl.
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2012 J jnl
Detecting unknown computer worm activity via support vector machines and active learning.
Pattern Anal. Appl.
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2012 J jnl
Detecting unknown malicious code by applying classification techniques on OpCode patterns.
Secur. Informatics
Asaf Shabtai, Robert Moskovitch, Clint Feher, Shlomi Dolev, Yuval Elovici
2012 J jnl
User identity verification via mouse dynamics.
Inf. Sci.
Clint Feher, Yuval Elovici, Robert Moskovitch, Lior Rokach, Alon Schclar
2011 J jnl
Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content.
Secur. Commun. Networks
Asaf Shabtai, Dennis Potashnik, Yuval Fledel, Robert Moskovitch, Yuval Elovici
2010 C conf
Continuous Verification Using Keystroke Dynamics.
CIS
Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici
2009 — conf
A Chronological Evaluation of Unknown Malcode Detection.
PAISI
Robert Moskovitch, Clint Feher, Yuval Elovici
2009 J jnl
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey.
Inf. Secur. Tech. Rep.
Asaf Shabtai, Robert Moskovitch, Yuval Elovici, Chanan Glezer
2009 C conf
Identity theft, computers and behavioral biometrics.
ISI
Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet Çamtepe, Bernhard Löhlein, Ulrich Heister, Sebastian Möller, Lior Rokach, Yuval Elovici
2009 Misc conf
Medical Temporal-Knowledge Discovery via Temporal Abstraction.
AMIA
Robert Moskovitch, Yuval Shahar
2009 J jnl
Unknown malcode detection and the imbalance problem.
J. Comput. Virol.
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
2009 J jnl
Using artificial neural networks to detect unknown computer worms.
Neural Comput. Appl.
Dima Stopel, Robert Moskovitch, Zvi Boger, Yuval Shahar, Yuval Elovici
2009 J jnl
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine.
J. Biomed. Informatics
Robert Moskovitch, Yuval Shahar
2008 C conf
Active learning to improve the detection of unknown computer worms activity.
FUSION
Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici
2008 J jnl
Detection of unknown computer worms based on behavioral classification of the host.
Comput. Stat. Data Anal.
Robert Moskovitch, Yuval Elovici, Lior Rokach
2008 — conf
Malicious Code Detection Using Active Learning.
PinKDD
Robert Moskovitch, Nir Nissim, Yuval Elovici
2008 — conf
Unknown Malcode Detection Using OPCODE Representation.
EuroISI
Robert Moskovitch, Clint Feher, Nir Tzachar, Eugene Berger, Marina Gitelman, Shlomi Dolev, Yuval Elovici
2008 C conf
Unknown malcode detection - A chronological evaluation.
ISI
Robert Moskovitch, Clint Feher, Yuval Elovici
2008 C conf
Unknown malcode detection via text categorization and the imbalance problem.
ISI
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici
2007 J jnl
Application of Information Technology: A Comparative Evaluation of Full-text, Concept-based, and Context-sensitive Search.
J. Am. Medical Informatics Assoc.
Robert Moskovitch, Susana B. Martins, Eytan Behiri, Aviram Weiss, Yuval Shahar
2007 Misc conf
Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic.
KI
Yuval Elovici, Asaf Shabtai, Robert Moskovitch, Gil Tahan, Chanan Glezer
2007 C conf
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining.
CIDM
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Clint Feher, Chanan Glezer, Yuval Shahar, Yuval Elovici
2007 — conf
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining.
CISDA
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Chanan Glezer, Yuval Shahar, Yuval Elovici
2007 — conf
Experiments with Hierarchical Concept-Based Search.
MedInfo
Robert Moskovitch, Roee Sa'adon, Eytan Behiri, Susana B. Martins, Aviram Weiss, Yuval Shahar
2007 C conf
Host Based Intrusion Detection using Machine Learning.
ISI
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima Stopel, Clint Feher, Yisrael Parmet, Yuval Shahar, Yuval Elovici
2007 Misc conf
Improving the Detection of Unknown Computer Worms Activity Using Active Learning.
KI
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici
2007 C conf
Malicious Code Detection and Acquisition Using Active Learning.
ISI
Robert Moskovitch, Nir Nissim, Yuval Elovici
2006 B conf
Application of Artificial Neural Networks Techniques to Computer Worm Detection.
IJCNN
Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici
2006 J jnl
Multiple hierarchical classification of free-text clinical guidelines.
Artif. Intell. Medicine
Robert Moskovitch, Shiva Cohen-Kashi, Uzi Dror, Iftah Levy, Amit Maimon, Yuval Shahar
2005 B conf
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies.
AIME
Diego Sona, Paolo Avesani, Robert Moskovitch
2004 — conf
A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Guidelines.
CGP
Robert Moskovitch, Yuval Shahar
2004 J jnl
A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools.
J. Biomed. Informatics
Yuval Shahar, Ohad Young, Erez Shalom, Maya Galperin, Alon Mayaffit, Robert Moskovitch, Alon Hessing
2004 — conf
The Digital Electronic Guideline Library (DeGeL): A Hybrid Framework for Representation and Use of Clinical Guidelines.
CGP
Yuval Shahar, Ohad Young, Erez Shalom, Alon Mayaffit, Robert Moskovitch, Alon Hessing, Maya Galperin
2004 — conf
Vaidurya - A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines.
MedInfo
Robert Moskovitch, Alon Hessing, Yuval Shahar
2003 B conf
DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.
AIME
Yuval Shahar, Ohad Young, Erez Shalom, Alon Mayaffit, Robert Moskovitch, Alon Hessing, Maya Galperin