Research output per year
Research output per year
Personal profile
Research interests
Machine Learning, Data Science, Recommender Systems, Explainable AI, Health Informatics, Personalization, Machine leaerning for Cyber
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Dive into the research topics where Bracha Leah Shapira is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A deep learning framework for predicting burglaries based on multiple contextual factors
Solomon, A., Kertis, M., Shapira, B. & Rokach, L., 1 Aug 2022, In: Expert Systems with Applications. 199, 117042.Research output: Contribution to journal › Article › peer-review
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CDCDB: A large and continuously updated drug combination database
Shtar, G., Azulay, L., Nizri, O., Rokach, L. & Shapira, B., 2022, In: Scientific data. 9, 1, p. 1-11 11 p.Research output: Contribution to journal › Article › peer-review
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Contextual security awareness: A context-based approach for assessing the security awareness of users
Solomon, A., Michaelshvili, M., Bitton, R., Shapira, B., Rokach, L., Puzis, R. & Shabtai, A., 21 Jun 2022, In: Knowledge-Based Systems. 246, 108709.Research output: Contribution to journal › Article › peer-review
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Evolving context-aware recommender systems with users in mind[Formula presented]
Livne, A., Tov, E. S., Solomon, A., Elyasaf, A., Shapira, B. & Rokach, L., 1 Mar 2022, In: Expert Systems with Applications. 189, 116042.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Explainable multimodal machine learning model for classifying pregnancy drug safety
Shtar, G., Rokach, L., Shapira, B., Kohn, E., Berkovitch, M. & Berlin, M., 15 Feb 2022, In: Bioinformatics. 38, 4, p. 1102-1109 8 p.Research output: Contribution to journal › Article › peer-review
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Prioritizing vulnerability patches in large networks
Olswang, A., Gonda, T., Puzis, R., Shani, G., Shapira, B. & Tractinsky, N., 1 May 2022, In: Expert Systems with Applications. 193, 116467.Research output: Contribution to journal › Article › peer-review
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Recommender Systems: Techniques, Applications, and Challenges
Ricci, F., Rokach, L. & Shapira, B., 2022, Recommender Systems Handbook. Shapira, B., Rokach, L. & Francesco, R. (eds.). Springer New York, p. 1-35 35 p. (Recommender Systems Handbook).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Transfer Learning for Time Series Classification Using Synthetic Data Generation.
Rotem, Y., Shimoni, N., Rokach, L. & Shapira, B., 2022, Cyber Security, Cryptology, and Machine Learning: 6th International Symposium Be'er Sheva, Israel, CSCML. Meisels, A., Dolev, S. & J. K. (eds.). Springer Nature Switzerland AG, Vol. 13301. p. 232-246 15 p. (Lecture Notes in Computer Science; vol. 13301).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Analyzing movement predictability using human attributes and behavioral patterns
Solomon, A., Livne, A., Katz, G., Shapira, B. & Rokach, L., 1 May 2021, In: Computers, Environment and Urban Systems. 87, 101596.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data
Livne, A., Dor, R., Shapira, B. & Rokach, L., 26 Oct 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, p. 1150-1159 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access
Press / Media
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Israel : BGU and ASU Consortium Awarded Prestigious Energy Cyber Center Grant
Dan Blumberg, Rami Puzis, Nir Nissim, Bracha Leah Shapira, Lior Rokach, Yisroel Mirsky & Yuval Elovici
18/05/21
1 item of Media coverage
Press/Media