Robert Moskovitch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SAC | Toward Enumeration of Common Operational Processes: The Water Sector. | Javier Roasso, Jaidip Kotak, Aviad Elyashar, Robert Moskovitch, Asaf Shabtai, Rami Puzis |
| 2024 | AAAI | Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint). | Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla |
| 2024 | SDM | Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data. | Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch |
| 2023 | PAKDD | Continuously Predicting the Completion of a Time Intervals Related Pattern. | Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch |
| 2021 | AAAI | Complete Closed Time Intervals-Related Patterns Mining. | Omer David Harel, Robert Moskovitch |
| 2020 | AIME | Falls Prediction in Care Homes Using Mobile App Data Collection. | Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch |
| 2020 | AIME | Acute Hypertensive Episodes Prediction. | Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch |
| 2020 | AIME | All-Cause Mortality Prediction in T2D Patients. | Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch |
| 2015 | AIME | An Active Learning Framework for Efficient Condition Severity Classification. | Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak |
| 2015 | ICDM | Outcomes Prediction via Time Intervals Related Patterns. | Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti |
| 2014 | ISI | ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. | Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici |
| 2010 | CIS | Continuous Verification Using Keystroke Dynamics. | Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici |
| 2009 | AMIA | Medical Temporal-Knowledge Discovery via Temporal Abstraction. | Robert Moskovitch, Yuval Shahar |
| 2009 | ISI | Identity theft, computers and behavioral biometrics. | Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet amtepe, Bernhard Lhlein, Ulrich Heister, Sebastian Mller, Lior Rokach, Yuval Elovici |
| 2008 | FUSION | Active learning to improve the detection of unknown computer worms activity. | Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici |
| 2008 | ISI | Unknown malcode detection - A chronological evaluation. | Robert Moskovitch, Clint Feher, Yuval Elovici |
| 2008 | ISI | Unknown malcode detection via text categorization and the imbalance problem. | Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici |
| 2008 | KDD | Malicious Code Detection Using Active Learning. | Robert Moskovitch, Nir Nissim, Yuval Elovici |
| 2007 | CIDM | Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining. | Robert Moskovitch, Ido Gus, Shay Pluderman, Dima Stopel, Clint Feher, Chanan Glezer, Yuval Shahar, Yuval Elovici |
| 2007 | ISI | Malicious Code Detection and Acquisition Using Active Learning. | Robert Moskovitch, Nir Nissim, Yuval Elovici |
| 2007 | ISI | Host Based Intrusion Detection using Machine Learning. | Robert Moskovitch, Shay Pluderman, Ido Gus, Dima Stopel, Clint Feher, Yisrael Parmet, Yuval Shahar, Yuval Elovici |
| 2007 | KI | Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic. | Yuval Elovici, Asaf Shabtai, Robert Moskovitch, Gil Tahan, Chanan Glezer |
| 2007 | KI | Improving the Detection of Unknown Computer Worms Activity Using Active Learning. | Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici |
| 2006 | IJCNN | Application of Artificial Neural Networks Techniques to Computer Worm Detection. | Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici |
| 2005 | AIME | Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. | Diego Sona, Paolo Avesani, Robert Moskovitch |
| 2003 | AIME | DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines. | Yuval Shahar, Ohad Young, Erez Shalom, Alon Mayaffit, Robert Moskovitch, Alon Hessing, Maya Galperin |