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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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
6 Scopus citations -
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility
Hadrian, A., Vainshtein, R., Shapira, B. & Rokach, L., 1 Jan 2023, (Accepted/In press) In: IEEE Transactions on Intelligent Transportation Systems. p. 1-17 17 p.Research output: Contribution to journal › Article › peer-review
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Molecule generation using transformers and policy gradient reinforcement learning
Mazuz, E., Shtar, G., Shapira, B. & Rokach, L., 31 May 2023, In: Scientific Reports. 13, 1, 8799.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Pretrained transformer models for predicting the withdrawal of drugs from the market
Mazuz, E., Shtar, G., Kutsky, N., Rokach, L. & Shapira, B., 1 Aug 2023, In: Bioinformatics (Oxford, England). 39, 8Research output: Contribution to journal › Article › peer-review
Open Access -
Promoting Tail Item Recommendations in E-Commerce
Didi, T., Guy, I., Livne, A., Dagan, A., Rokach, L. & Shapira, B., 18 Jun 2023, UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, p. 194-203 10 p. (UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Shapley-based feature augmentation
Antwarg, L., Galed, C., Shimoni, N., Rokach, L. & Shapira, B., 1 Aug 2023, In: Information Fusion. 96, p. 92-102 11 p.Research output: Contribution to journal › Article › peer-review
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TTANAD: Test-Time Augmentation for Network Anomaly Detection
Cohen, S., Goldshlager, N., Shapira, B. & Rokach, L., 19 May 2023, In: Entropy. 25, 5, 820.Research output: Contribution to journal › Article › peer-review
Open Access -
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
3 Scopus citations -
BRUCE: Bundle Recommendation Using Contextualized item Embeddings
Brosh, T. A., Livne, A., Shalom, O. S., Shapira, B. & Last, M., 13 Sep 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
2 Scopus citations -
CDCDB: A large and continuously updated drug combination database
Shtar, G., Azulay, L., Nizri, O., Rokach, L. & Shapira, B., 2 Jun 2022, In: Scientific data. 9, 1, 263.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Press/Media
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Ben-Gurion University of the Negev Reports Findings in Bioinformatics (Predicting drug characteristics using biomedical text embedding)
Lior Rokach, Guy Shtar & Bracha Shapira
20/12/22
1 item of Media coverage
Press/Media