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Computer Science

D-Index
40
Citations
21140
World Ranking
9016
National Ranking
146

Overview

Bracha Shapira is affiliated with Ben-Gurion University of the Negev in Israel and has contributed extensively to research in computer science, especially in areas intersecting artificial intelligence and information systems.

Their research spans several fields and subfields, notably:

  • Computer Science
  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Molecular Biology

Within these areas, the main topics Bracha Shapira has worked on include:

  • Anomaly Detection Techniques and Applications
  • Computational Drug Discovery Methods
  • Network Security and Intrusion Detection
  • Advanced Bandit Algorithms Research
  • Recommender Systems and Techniques
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification

Shapira has published extensively across several academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • Expert Systems with Applications
  • Archives of Physical Medicine and Rehabilitation
  • Knowledge-Based Systems
  • Information Sciences

Notable papers by Shapira include:

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations, 2021, Expert Systems with Applications
  • Molecule generation using transformers and policy gradient reinforcement learning, 2023, Scientific Reports
  • Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients, 2020, Archives of Physical Medicine and Rehabilitation
  • CDCDB: A large and continuously updated drug combination database, 2022, Scientific Data
  • Contextual security awareness: A context-based approach for assessing the security awareness of users, 2022, Knowledge-Based Systems

Collaborations form an important element of their scholarly output. Frequent coauthors include:

  • Lior Rokach
  • Guy Shtar
  • Adir Solomon
  • Seffi Cohen
  • Eyal Mazuz

Best Publications

  • Introduction to Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira;Paul B. Kantor

  • Recommender Systems: Introduction and Challenges

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • Information Filtering: Overview of Issues, Research and Systems

    Uri Hanani;Bracha Shapira;Peretz Shoval

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations

    Liat Antwarg;Ronnie Mindlin Miller;Bracha Shapira;Lior Rokach

  • Mobile malware detection through analysis of deviations in application network behavior

    Asaf Shabtai;Lena Tenenboim-Chekina;Dudu Mimran;Lior Rokach

  • A Theory-Driven Design Framework for Social Recommender Systems

    Ofer Arazy;Nanda Kumar;Bracha Shapira

  • Facebook single and cross domain data for recommendation systems

    Bracha Shapira;Lior Rokach;Shirley Freilikhman

  • Recommender Systems: Techniques, Applications, and Challenges

    Unknown

  • Unknown malware detection using network traffic classification

    Dmitri Bekerman;Bracha Shapira;Lior Rokach;Ariel Bar

  • Improving Social Recommender Systems

    O. Arazy;N. Kumar;B. Shapira

  • Efficient Multidimensional Suppression for K-Anonymity

    S. Kisilevich;L. Rokach;Y. Elovici;B. Shapira

  • Towards latent context-aware recommendation systems

    Moshe Unger;Ariel Bar;Bracha Shapira;Lior Rokach

  • Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

    Alexandros Karatzoglou;Balázs Hidasi;Domonkos Tikk;Oren Sar-Shalom

  • RecSys Challenge 2015 and the YOOCHOOSE Dataset

    David Ben-Shimon;Alexander Tsikinovsky;Michael Friedmann;Bracha Shapira

  • TALMUD: transfer learning for multiple domains

    Orly Moreno;Bracha Shapira;Lior Rokach;Guy Shani

  • The effectiveness of a training method using self-modeling webcam photos for reducing musculoskeletal risk among office workers using computers

    Meirav Taieb-Maimon;Julie Cwikel;Bracha Shapira;Ido Orenstein

  • ConSent: Context-based sentiment analysis

    Gilad Katz;Nir Ofek;Bracha Shapira

  • Explaining Anomalies Detected by Autoencoders Using SHAP.

    Liat Antwarg;Bracha Shapira;Lior Rokach

  • Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.

    Guy Shtar;Lior Rokach;Bracha Shapira

  • CoBAn: A context based model for data leakage prevention

    Gilad Katz;Yuval Elovici;Bracha Shapira

  • Stereotypes in information filtering systems

    Bracha Shapira;Peretz Shoval;Uri Hanani

  • Context-based generic cross-lingual retrieval of documents and automated summaries: Research Articles

    Wai Lam;Ki Chan;Dragomir Radev;Horacio Saggion

Frequent Co-Authors

Lior Rokach
Lior Rokach Ben-Gurion University of the Negev
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Abraham Kandel
Abraham Kandel University of South Florida
Tsvi Kuflik
Tsvi Kuflik University of Haifa
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Benjamin Melamed
Benjamin Melamed Rutgers, The State University of New Jersey

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