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  • 2022

    Classification of Univariate Time Series via Temporal Abstraction and Deep Learning

    Itzhak, N., Tal, S., Cohen, H., Daniel, O., Kopylov, R. & Moskovitch, R., 1 Jan 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers, p. 1260-1265 6 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2021

    Complete Closed Time Intervals-Related Patterns Mining

    Harel, O. D. & Moskovitch, R., 1 Jan 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 4098-4105 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 5A).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • 2020

    Acute Hypertensive Episodes Prediction

    Itzhak, N., Nagori, A., Lior, E., Schvetz, M., Lodha, R., Sethi, T. & Moskovitch, R., 1 Jan 2020, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings. Michalowski, M. & Moskovitch, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 392-402 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12299 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • All-Cause Mortality Prediction in T2D Patients

    Novitski, P., Cohen, C. M., Karasik, A., Shalev, V., Hodik, G. & Moskovitch, R., 1 Jan 2020, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings. Michalowski, M. & Moskovitch, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12299 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Falls Prediction in Care Homes Using Mobile App Data Collection

    Dvir, O., Wolfson, P., Lovat, L. & Moskovitch, R., 1 Jan 2020, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings. Michalowski, M. & Moskovitch, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 403-413 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12299 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2019

    Temporal pattern-based malicious activity detection in SCADA systems

    Kalech, M., Shlomo, A. & Moskovitch, R., 1 Jan 2019, Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Dolev, S., Hendler, D., Lodha, S. & Yung, M. (eds.). Springer Verlag, p. 316-319 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11527 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2015

    An active learning framework for efficient condition severity classification

    Nissim, N., Boland, M. R., Moskovitch, R., Tatonetti, N. P., Elovici, Y., Shahar, Y. & Hripcsak, G., 1 Jan 2015, Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Proceedings. Bellazzi, R., Sacchi, L., Holmes, J. H. & Peek, N. (eds.). Springer Verlag, p. 13-24 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9105).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Scopus citations
  • Outcomes prediction via time intervals related patterns

    Moskovitch, R., Walsh, C., Wang, F., Hripcsak, G. & Tatonetti, N., 2015, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers, p. 919-924 6 p. 7373412. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    23 Scopus citations
  • 2014

    ALPD: Active learning framework for enhancing the detection of malicious PDF files

    Nissim, N., Cohen, A., Moskovitch, R., Shabtai, A., Edry, M., Bar-Ad, O. & Elovici, Y., 4 Dec 2014, Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014. Institute of Electrical and Electronics Engineers, p. 91-98 8 p. 6975559. (Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    28 Scopus citations
  • 2010

    Clustering di-graphs for continuously verifying users according to their typing patterns

    Shimshon, T., Moskovitch, R., Rokach, L. & Elovici, Y., 1 Dec 2010, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010. p. 445-449 5 p. 5662182. (2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    22 Scopus citations
  • Continuous verification using keystroke dynamics

    Shimshon, T., Moskovitch, R., Rokach, L. & Elovici, Y., 1 Dec 2010, Proceedings - 2010 International Conference on Computational Intelligence and Security, CIS 2010. p. 411-415 5 p. 5696310. (Proceedings - 2010 International Conference on Computational Intelligence and Security, CIS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    42 Scopus citations
  • 2009

    A chronological evaluation of unknown malcode detection

    Moskovitch, R., Feher, C. & Elovici, Y., 13 Jul 2009, Intelligence and Security Informatics - Pacific Asia Workshop, PAISI 2009, Proceedings. p. 112-117 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5477).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Scopus citations
  • Classification of ICU patients via temporal abstraction and temporal patterns mining

    Moskovitch, R., Peek, N. & Shahar, Y., 2009, Notes of the Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 2009) Workshop, Verona, Italy. p. 35-40

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Identity theft, computers and behavioral biometrics

    Moskovitch, R., Feher, C., Messerman, A., Kirschnick, N., Mustafić, T., Camtepe, A., Löhlein, B., Heister, U., Möller, S., Rokach, L. & Elovici, Y., 22 Oct 2009, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. p. 155-160 6 p. 5137288. (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    52 Scopus citations
  • Malicious code detection using active learning

    Moskovitch, R., Nissim, N. & Elovici, Y., 16 Jul 2009, Privacy, Security, and Trust in KDD - Second ACM SIGKDD International Workshop, PinKDD 2008, Revised Selected Papers. p. 74-91 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5456 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    26 Scopus citations
  • 2008

    Acquisition of malicious code using active learning

    Moskovitch, R., Nissim, N. & Elovici, Y., 2008, Proc. 2nd Int’l Workshop on Privacy, Security, Trust in KDD.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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

    Moskovitch, R., Nissim, N., Englert, R. & Elovici, Y., 1 Dec 2008, Proceedings of the 11th International Conference on Information Fusion, FUSION 2008. 4632425. (Proceedings of the 11th International Conference on Information Fusion, FUSION 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Unknown malcode detection using OPCODE representation

    Moskovitch, R., Feher, C., Tzachar, N., Berger, E., Gitelman, M., Dolev, S. & Elovici, Y., 1 Dec 2008, Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings. p. 204-215 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5376 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    143 Scopus citations
  • Unknown malicious code detection - Practical issues

    Moskovitch, R. & Elovici, Y., 1 Dec 2008, 7th European Conference on Information Warfare and Security 2008, ECIW 2008. p. 145-152 8 p. (7th European Conference on Information Warfare and Security 2008, ECIW 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • 2007

    Applying machine learning techniques for detection of malicious code in network traffic

    Elovici, Y., Shabtai, A., Moskovitch, R., Tahn, G. & Glezer, C., 1 Jan 2007, KI 2007: Advances in Artificial Intelligence - 30th Annual German Conference on AI, KI 2007, Proceedings. Springer Verlag, p. 44-50 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4667 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    52 Scopus citations
  • Detection of unknown computer worms activity based on computer behavior using data mining

    Moskovitch, R., Gus, I., Pluderman, S., Stopel, D., Feher, C., Glezer, C., Shahar, Y. & Elovici, Y., 25 Sep 2007, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007. p. 202-209 8 p. 4221297. (Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Detection of unknown computer worms activity based on computer behavior using data mining

    Moskovitch, R., Gus, I., Pluderman, S., Stopel, D., Glezer, C., Shahar, Y. & Eloyici, Y., 25 Sep 2007, Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007. p. 169-177 9 p. 4219097. (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Experiments with hierarchical concept-based search

    Moskovitch, R., Sa'Adon, R., Behiri, E., Martins, S., Weiss, A. & Shahar, Y., 1 Jan 2007, MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics: Building Sustainable Health Systems. IOS Press, p. 422-426 5 p. (Studies in Health Technology and Informatics; vol. 129).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Host based intrusion detection using machine learning

    Moskovitch, R., Pluderman, S., Gus, I., Stopel, D., Feher, C., Parmet, Y., Shahar, Y. & Elovici, Y., 1 Jan 2007, ISI 2007: 2007 IEEE Intelligence and Security Informatics. Institute of Electrical and Electronics Engineers, p. 107-114 8 p. 4258682. (ISI 2007: 2007 IEEE Intelligence and Security Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Scopus citations
  • Improving the detection of unknown computer worms activity using active learning

    Moskovitch, R., Nissim, N., Stopel, D., Feher, C., Englert, R. & Elovici, Y., 1 Jan 2007, KI 2007: Advances in Artificial Intelligence - 30th Annual German Conference on AI, KI 2007, Proceedings. Springer Verlag, p. 489-493 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4667 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    21 Scopus citations
  • Malicious code detection and acquisition using active learning

    Moskovitch, R., Nissim, N. & Elovici, Y., 1 Oct 2007, ISI 2007: 2007 IEEE Intelligence and Security Informatics. p. 372 1 p. 4258731. (ISI 2007: 2007 IEEE Intelligence and Security Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    21 Scopus citations
  • 2006

    A multiple-ontology template-based query interface for a clinical-guidelines search engine

    Moskovitch, R., Lavie, T., Leibowitz, A., Denekump, Y. & Shahar, Y., 2006, Proceedings of ECAI06 workshop on AI techniques in healthcare: evidence-based guidelines and protocols, Italy.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Application of artificial neural networks techniques to computer worm detection

    Stopel, D., Boger, Z., Moskovitch, R., Shahar, Y. & Elovici, Y., 1 Jan 2006, International Joint Conference on Neural Networks 2006, IJCNN '06. Institute of Electrical and Electronics Engineers, p. 2362-2369 1716409. (IEEE International Conference on Neural Networks - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    29 Scopus citations
  • Identifying risk conditions for fireBlight infection using artificial neural networks based on rare events

    Moskovitch, R., Stopel, D., Pertot, I. & Gessler, C., 1 Dec 2006, Computers in Agriculture and Natural Resources - Proceedings of the 4th World Congress. p. 315-320 6 p. (Computers in Agriculture and Natural Resources - Proceedings of the 4th World Congress).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Improving Worm Detection with Artificial Neural Networks through Feature Selection and Temporal Analysis Techniques

    Stopel, D., Boger, Z., Moskovitch, R., Shahar, Y. & Elovici, Y., 2006, Proceedings of World Academy of Science Engineering and Technology . Vol. 15. p. 973-979

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Integrated forecasting systems for monitoring fire blight in Trentino

    Zasso, R., Moskovitch, R., Pertot, I. & Gessler, C., 1 Jan 2006, Proceedings of the Xth International Workshop on Fire Blight. International Society for Horticultural Science, Vol. 704. p. 191-196 6 p. (Acta Horticulturae).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2005

    CDM-05 workshop on temporal data mining

    Moskovitch, R. & Shahar, Y., 2005, Workshop on Temporal Data Mining. p. 3-5 (Workshop on Temporal Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Helping physicians to organize guidelines within conceptual hierarchies

    Sona, D., Avesani, P. & Moskovitch, R., 1 Jan 2005, Artificial Intelligence in Medicine - 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Proceedings. Springer Verlag, p. 141-145 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3581 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2004

    A multiple-ontology customizable search interface for retrieval of clinical guidelines

    Moskovitch, R. & Shahar, Y., 1 Jan 2004, Computer-Based Support for Clinical Guidelines and Protocols - Proceedings of the Symposium on Computerized Guidelines and Protocols, CGP 2004. IOS Press, p. 127-131 5 p. (Studies in Health Technology and Informatics; vol. 101).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • The digital electronic guideline library (DeGeL): A hybrid framework for representation and use of clinical guidelines

    Shahar, Y., Young, O., Shalom, E., Mayaffit, A., Moskovitch, R., Hessing, A. & Galperin, M., 1 Jan 2004, Computer-Based Support for Clinical Guidelines and Protocols - Proceedings of the Symposium on Computerized Guidelines and Protocols, CGP 2004. IOS Press, p. 147-151 5 p. (Studies in Health Technology and Informatics; vol. 101).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2003

    DEGEL: A hybrid, multiple-ontology framework for specification and retrieval of clinical guidelines

    Shahar, Y., Young, O., Shalom, E., Mayaffit, A., Moskovitch, R., Hessing, A. & Galperin, M., 1 Dec 2003, Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings. p. 122-131 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2780 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    40 Scopus citations