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

THAAD: Efficient matching queries under temporal abstraction for anomaly detection.
Perform. Evaluation, 2021

Outcomes prediction in longitudinal data: <i>Study designs evaluation, use case in ICU acquired sepsis</i>.
J. Biomed. Informatics, 2021

Pkg2Vec: Hierarchical package embedding for code authorship attribution.
Future Gener. Comput. Syst., 2021

The Semantic Adjacency Criterion in Time Intervals Mining.
CoRR, 2021

Temporal pattern-based malicious activity detection in SCADA systems.
Comput. Secur., 2021

Complete Closed Time Intervals-Related Patterns Mining.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Decompiled APK based malicious code classification.
Future Gener. Comput. Syst., 2020

All-Cause Mortality Prediction in T2D Patients.
Proceedings of the Artificial Intelligence in Medicine, 2020

Acute Hypertensive Episodes Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2020

Falls Prediction in Care Homes Using Mobile App Data Collection.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Temporal biomedical data analytics.
J. Biomed. Informatics, 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

<i>JASIST</i> special issue on biomedical information retrieval.
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

Temporal data analytics.
J. Biomed. 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.
Secur. 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.
Secur. Commun. 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.
J. Comput. Virol., 2009

Using artificial neural networks to detect unknown computer worms.
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

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.
Comput. Stat. Data Anal., 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.
J. Am. Medical Informatics Assoc., 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.
Artif. Intell. 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.
J. Biomed. 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


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