Robert Moskovitch
According to our database1,
Robert Moskovitch
authored at least 63 papers
between 2003 and 2021.
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Bibliography
2021
IPvest: Clustering the IP Traffic of Network Entities Hidden Behind a Single IP Address Using Machine Learning.
IEEE Trans. Netw. Serv. Manag., 2021
Perform. Evaluation, 2021
Outcomes prediction in longitudinal data: <i>Study designs evaluation, use case in ICU acquired sepsis</i>.
J. Biomed. Informatics, 2021
Future Gener. Comput. Syst., 2021
Comput. Secur., 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Future Gener. Comput. Syst., 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement).
Proceedings of the Cyber Security Cryptography and Machine Learning, 2019
2017
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Consistent discovery of frequent interval-based temporal patterns in chronic patients' data.
J. Biomed. Informatics, 2017
Procedure prediction from symbolic Electronic Health Records via time intervals analytics.
J. Biomed. Informatics, 2017
J. Assoc. Inf. Sci. Technol., 2017
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.
Artif. Intell. Medicine, 2017
2016
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.
Secur. Informatics, 2016
ALDROID: efficient update of Android anti-virus software using designated active learning methods.
Knowl. Inf. Syst., 2016
Improving condition severity classification with an efficient active learning based framework.
J. Biomed. Informatics, 2016
2015
Classification of multivariate time series via temporal abstraction and time intervals mining.
Knowl. Inf. Syst., 2015
Knowl. Inf. Syst., 2015
Data Min. Knowl. Discov., 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Expert Syst. Appl., 2014
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014
2012
Detecting unknown malicious code by applying classification techniques on OpCode patterns.
Secur. Informatics, 2012
Detecting unknown computer worm activity via support vector machines and active learning.
Pattern Anal. Appl., 2012
2011
Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content.
Secur. Commun. Networks, 2011
2010
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010
2009
Neural Comput. Appl., 2009
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine.
J. Biomed. Informatics, 2009
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey.
Inf. Secur. Tech. Rep., 2009
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009
Proceedings of the AMIA 2009, 2009
2008
Comput. Stat. Data Anal., 2008
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008
Proceedings of the 11th International Conference on Information Fusion, 2008
Proceedings of the Intelligence and Security Informatics, 2008
2007
Application of Information Technology: A Comparative Evaluation of Full-text, Concept-based, and Context-sensitive Search.
J. Am. Medical Informatics Assoc., 2007
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007
Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, 2007
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Artif. Intell. Medicine, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the Artificial Intelligence in Medicine, 2005
2004
A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools.
J. Biomed. Informatics, 2004
Proceedings of the MEDINFO 2004, 2004
The Digital Electronic Guideline Library (DeGeL): A Hybrid Framework for Representation and Use of Clinical Guidelines.
Proceedings of the Computer-based Support for Clinical Guidelines and Protocols, 2004
A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Guidelines.
Proceedings of the Computer-based Support for Clinical Guidelines and Protocols, 2004
2003
DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2003