Robert Moskovitch

ACM Trans. Knowl. Discov. Data, January, 2025

2024

Sleep apnea test prediction based on Electronic Health Records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

Event prediction by estimating continuously the completion of a single temporal pattern's instances.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

The Velodrome - ProCyclists Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Sports Analytics - First International Conference, 2024

Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint).

[BibT_eX]

[DOI]

Martin Michalowski

Nitesh V. Chawla

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continuous prediction of a time intervals-related pattern's completion.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2023

Predictive temporal patterns discovery.

[BibT_eX]

[DOI]

Nofar Sarafian Ben Ari

Expert Syst. Appl., September, 2023

TIRPClo: efficient and complete mining of time intervals-related patterns.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., September, 2023

Prediction of acute hypertensive episodes in critically ill patients.

[BibT_eX]

[DOI]

Itai M. Pessach

Artif. Intell. Medicine, May, 2023

Introduction to the Special Track on Artificial Intelligence and COVID-19.

[BibT_eX]

[DOI]

Martin Michalowski

Nitesh V. Chawla

J. Artif. Intell. Res., 2023

INSTINCT: Inception-based Symbolic Time Intervals series classification.

[BibT_eX]

[DOI]

Inf. Sci., 2023

The Semantic Adjacency Criterion in Time Intervals Mining.

[BibT_eX]

[DOI]

Alexander Shknevsky

Big Data Cogn. Comput., 2023

Continuously Predicting the Completion of a Time Intervals Related Pattern.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Multivariate temporal data analysis - a review.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2022

Visualization of frequent temporal patterns in single or two populations.

[BibT_eX]

[DOI]

Guy Shitrit

Noam Tractinsky

J. Biomed. Informatics, 2022

Temporal patterns selection for All-Cause Mortality prediction in T2D with ANNs.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2022

All-cause mortality prediction in T2D patients with iTirps.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2022

Classification of Univariate Time Series via Temporal Abstraction and Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

IPvest: Clustering the IP Traffic of Network Entities Hidden Behind a Single IP Address Using Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

THAAD: Efficient matching queries under temporal abstraction for anomaly detection.

[BibT_eX]

[DOI]

Roni Mateless

Michael Segal

Perform. Evaluation, 2021

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Pkg2Vec: Hierarchical package embedding for code authorship attribution.

[BibT_eX]

[DOI]

Roni Mateless

Oren Tsur

Future Gener. Comput. Syst., 2021

Temporal pattern-based malicious activity detection in SCADA systems.

[BibT_eX]

[DOI]

Amit Shlomo

Meir Kalech

Comput. Secur., 2021

Complete Closed Time Intervals-Related Patterns Mining.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Decompiled APK based malicious code classification.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

All-Cause Mortality Prediction in T2D Patients.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

Acute Hypertensive Episodes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

Falls Prediction in Care Homes Using Mobile App Data Collection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Temporal biomedical data analytics.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement).

[BibT_eX]

[DOI]

Meir Kalech

Amit Shlomo

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.

[BibT_eX]

[DOI]

Hyunmi Choi

George Hripcsak

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Consistent discovery of frequent interval-based temporal patterns in chronic patients' data.

[BibT_eX]

[DOI]

Alexander Shknevsky

J. Biomed. Informatics, 2017

Procedure prediction from symbolic Electronic Health Records via time intervals analytics.

[BibT_eX]

[DOI]

Fernanda Polubriaginof

Aviram Weiss

Patrick B. Ryan

J. Biomed. Informatics, 2017

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

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., 2017

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2017

2016

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.

[BibT_eX]

[DOI]

Secur. Informatics, 2016

ALDROID: efficient update of Android anti-virus software using designated active learning methods.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Improving condition severity classification with an efficient active learning based framework.

[BibT_eX]

[DOI]

Mary Regina Boland

J. Biomed. Informatics, 2016

Temporal data analytics.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

2015

Classification of multivariate time series via temporal abstraction and time intervals mining.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Fast time intervals mining using the transitivity of temporal relations.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Classification-driven temporal discretization of multivariate time series.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Outcomes Prediction via Time Intervals Related Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Active Learning Framework for Efficient Condition Severity Classification.

[BibT_eX]

[DOI]

Mary Regina Boland

George Hripcsak

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Novel active learning methods for enhanced PC malware detection in windows OS.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files.

[BibT_eX]

[DOI]

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

2012

Detecting unknown malicious code by applying classification techniques on OpCode patterns.

[BibT_eX]

[DOI]

Secur. Informatics, 2012

Detecting unknown computer worm activity via support vector machines and active learning.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2012

User identity verification via mouse dynamics.

[BibT_eX]

[DOI]

Inf. Sci., 2012

2011

Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content.

[BibT_eX]

[DOI]

Secur. Commun. Networks, 2011

2010

Continuous Verification Using Keystroke Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

2009

Unknown malcode detection and the imbalance problem.

[BibT_eX]

[DOI]

J. Comput. Virol., 2009

Using artificial neural networks to detect unknown computer worms.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2009

Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2009

Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey.

[BibT_eX]

[DOI]

Inf. Secur. Tech. Rep., 2009

A Chronological Evaluation of Unknown Malcode Detection.

[BibT_eX]

[DOI]

Clint Feher

Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009

Identity theft, computers and behavioral biometrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009

Medical Temporal-Knowledge Discovery via Temporal Abstraction.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2009, 2009

2008

Detection of unknown computer worms based on behavioral classification of the host.

[BibT_eX]

[DOI]

Lior Rokach

Comput. Stat. Data Anal., 2008

Malicious Code Detection Using Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Privacy, 2008

Unknown malcode detection via text categorization and the imbalance problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Unknown malcode detection - A chronological evaluation.

[BibT_eX]

[DOI]

Clint Feher

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Active learning to improve the detection of unknown computer worms activity.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Fusion, 2008

Unknown Malcode Detection Using OPCODE Representation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2007

Experiments with Hierarchical Concept-Based Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic.

[BibT_eX]

[DOI]

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Host Based Intrusion Detection using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007

Malicious Code Detection and Acquisition Using Active Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Multiple hierarchical classification of free-text clinical guidelines.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2006

Application of Artificial Neural Networks Techniques to Computer Worm Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Helping Physicians to Organize Guidelines Within Conceptual Hierarchies.

[BibT_eX]

[DOI]

Diego Sona

Paolo Avesani

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.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2004

Vaidurya - A Concept-Based, Context-Sensitive Search Engine For Clinical Guidelines.

[BibT_eX]

[DOI]

Alon Hessing

Proceedings of the MEDINFO 2004, 2004

The Digital Electronic Guideline Library (DeGeL): A Hybrid Framework for Representation and Use of Clinical Guidelines.

[BibT_eX]

[DOI]

Proceedings of the Computer-based Support for Clinical Guidelines and Protocols, 2004

A Multiple-Ontology Customizable Search Interface for Retrieval of Clinical Guidelines.

[BibT_eX]

[DOI]