Robert Moskovitch
According to our database1,
Robert Moskovitch
authored at least 50 papers
between 2003 and 2017.
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Bibliography
2017
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017
Consistent discovery of frequent interval-based temporal patterns in chronic patients' data.
Journal of Biomedical Informatics, 2017
Procedure prediction from symbolic Electronic Health Records via time intervals analytics.
Journal of Biomedical Informatics, 2017
JASIST special issue on biomedical information retrieval.
JASIST, 2017
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.
Artificial Intelligence in Medicine, 2017
2016
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.
Security 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.
Journal of Biomedical Informatics, 2016
Temporal data analytics.
Journal of Biomedical Informatics, 2016
2015
Classification of multivariate time series via temporal abstraction and time intervals mining.
Knowl. Inf. Syst., 2015
Fast time intervals mining using the transitivity of temporal relations.
Knowl. Inf. Syst., 2015
Classification-driven temporal discretization of multivariate time series.
Data Min. Knowl. Discov., 2015
Outcomes Prediction via Time Intervals Related Patterns.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
An Active Learning Framework for Efficient Condition Severity Classification.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Novel active learning methods for enhanced PC malware detection in windows OS.
Expert Syst. Appl., 2014
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014
2012
Detecting unknown malicious code by applying classification techniques on OpCode patterns.
Security Informatics, 2012
Detecting unknown computer worm activity via support vector machines and active learning.
Pattern Anal. Appl., 2012
User identity verification via mouse dynamics.
Inf. Sci., 2012
2011
Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content.
Security and Communication Networks, 2011
2010
Continuous Verification Using Keystroke Dynamics.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010
2009
Unknown malcode detection and the imbalance problem.
Journal in Computer Virology, 2009
Using artificial neural networks to detect unknown computer worms.
Neural Computing and Applications, 2009
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine.
Journal of Biomedical Informatics, 2009
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey.
Inf. Sec. Techn. Report, 2009
A Chronological Evaluation of Unknown Malcode Detection.
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009
Identity theft, computers and behavioral biometrics.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009
Medical Temporal-Knowledge Discovery via Temporal Abstraction.
Proceedings of the AMIA 2009, 2009
2008
Detection of unknown computer worms based on behavioral classification of the host.
Computational Statistics & Data Analysis, 2008
Malicious Code Detection Using Active Learning.
Proceedings of the Privacy, 2008
Unknown malcode detection via text categorization and the imbalance problem.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008
Unknown malcode detection - A chronological evaluation.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008
Active learning to improve the detection of unknown computer worms activity.
Proceedings of the 11th International Conference on Information Fusion, 2008
Unknown Malcode Detection Using OPCODE Representation.
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.
JAMIA, 2007
Experiments with Hierarchical Concept-Based Search.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Improving the Detection of Unknown Computer Worms Activity Using Active Learning.
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
Host Based Intrusion Detection using Machine Learning.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007
Malicious Code Detection and Acquisition Using Active Learning.
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
Multiple hierarchical classification of free-text clinical guidelines.
Artificial Intelligence in Medicine, 2006
Application of Artificial Neural Networks Techniques to Computer Worm Detection.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies.
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.
Journal of Biomedical Informatics, 2004
Vaidurya - A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines.
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