Personal profile
Research interests
My research interests are in the analysis and modeling of complex systems (such as the flow of information in business processes) with “soft computing” methods, such as fuzzy expert systems and data mining. My recent research is in the domain of "Narrative Intelligence" - teaching the computer to understand stories, in particular those in movies..
Education/Academic qualification
PhD, Quantitative Methods in Fuzzy Systems, with Applications to Industrial Engineering, Tel Aviv University
… → Oct 1997
Master, Modeling, Control, and Performance Evaluation of Flexible Manufacturing Systems, Tel Aviv University
Jul 1986 → Jun 1991
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Collaborations and top research areas from the last five years
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Automatically Reviewing Movie Plots with LLMs: (Short Paper)
Kaplan, M., Shmilovici, A. & Last, M., 1 Jan 2026, Cyber Security, Cryptology, and Machine Learning - 9th International Symposium, CSCML 2025, Proceedings. Akavia, A., Dolev, S., Lysyanskaya, A. & Puzis, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 347-357 11 p. (Lecture Notes in Computer Science; vol. 16244 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Structural Patterns in Award-Winning Novellas
Kaplan, M., Shmilovici, A. & Last, M., 1 Jan 2026, In: CEUR Workshop Proceedings. 4202Research output: Contribution to journal › Conference article › peer-review
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War Crime Detection in Videos Using Deep Learning Methods
Levi, Y., Goldgof, D., Katz, M., Shmilovici, A. & Last, M., 1 Jan 2025, Detecting Online Propaganda and Misinformation. World Scientific Publishing Co. Pte Ltd, p. 243-275 33 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Automative Video Compression for Remote Driving via Safety Considerations
Peled, D., Shmilovici, A. & Hadar, O., 1 Jan 2023, 2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023. Institute of Electrical and Electronics Engineers, p. 54-58 5 p. (2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
MND: A New Dataset and Benchmark of Movie Scenes Classified by Their Narrative Function
Liu, C., Shmilovici, A. & Last, M., 1 Jan 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 610-626 17 p. (Lecture Notes in Computer Science; vol. 13804 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Support Vector Machines
Shmilovici, A., 1 Jan 2023, Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook, Third Edition. Springer International Publishing, p. 93-110 18 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
14 Scopus citations -
The Same Thing - Only Different: Classification of Movies by their Story Types
Liu, C., Shmilovici, A. & Last, M., 1 Jan 2023, In: CEUR Workshop Proceedings. 3370, p. 93-101 9 p.Research output: Contribution to journal › Conference article › peer-review
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Inferring Event Causality in Films via Common Knowledge Corpora
Aidlin, B., Shmilovici, A. & Last, M., 1 Jan 2022, Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings. Nguyen, N. T., Kozierkiewicz, A., Trawiński, B., Manolopoulos, Y. & Chbeir, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-15 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13501 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Towards Automatic Textual Summarization of Movies
Liu, C., Last, M. & Shmilovici, A., 1 Jan 2021, Studies in Fuzziness and Soft Computing. Springer, p. 481-491 11 p. (Studies in Fuzziness and Soft Computing; vol. 393).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Scopus citations -
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics
Kubany, A., Ben Ishay, S., Ohayon, R. S., Shmilovici, A., Rokach, L. & Doitshman, T., 15 Dec 2020, In: Expert Systems with Applications. 161, 113656.Research output: Contribution to journal › Article › peer-review
Open Access18 Scopus citations