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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Boosting anomaly detection using unsupervised diverse test-time augmentation
Cohen, S., Goldshlager, N., Rokach, L. & Shapira, B., 1 May 2023, In: Information Sciences. 626, p. 821-836 16 p.Research output: Contribution to journal › Article › peer-review
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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
2 Scopus citations -
BRUCE: Bundle Recommendation Using Contextualized item Embeddings. Bundle Recommendation Using Contextualized item Embeddings
Brosh, T. A., Livne, A., Shalom, O. S., Shapira, B. & Last, M., 2022, RecSys 22: Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 237-245 9 p. (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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., 1 Dec 2022, In: Scientific data. 9, 1, 263.Research output: Contribution to journal › Article › peer-review
Open Access -
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
3 Scopus citations -
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
3 Scopus citations -
Investigating the Value of Subtitles for Improved Movie Recommendations
Eden, S., Livne, A., Sar Shalom, O., Shapira, B. & Jannach, D., 7 Apr 2022, UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, p. 99-109 11 p. (UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Predicting application usage based on latent contextual information
Solomon, A., Shapira, B. & Rokach, L., 1 Aug 2022, In: Computer Communications. 192, p. 197-209 13 p.Research output: Contribution to journal › Article › peer-review
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Predicting drug characteristics using biomedical text embedding
Shtar, G., Greenstein-Messica, A., Mazuz, E., Rokach, L. & Shapira, B., 1 Dec 2022, In: BMC Bioinformatics. 23, 1, 526.Research output: Contribution to journal › Article › peer-review
Open Access
Press / Media
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Ben-Gurion University of the Negev Reports Findings in Bioinformatics (Predicting drug characteristics using biomedical text embedding)
Guy Shtar, Bracha Shapira & Lior Rokach
20/12/22
1 item of Media coverage
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 & David Tolpin
18/05/21
1 item of Media coverage
Press/Media