World's Best Scientists 2026 revealed!
Shlomo Berkovsky

Shlomo Berkovsky

D-Index & Metrics

Computer Science

D-Index
42
Citations
7264
World Ranking
8406
National Ranking
258

Overview

Shlomo Berkovsky is affiliated with Macquarie University in Australia and has a substantial body of research contributions in the intersection of computer science and medicine. Their work spans multiple fields of study, including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics, and Health Information Management.

The main fields of study covered in their publications include:

  • Computer Science
  • Medicine

The subfields where Shlomo Berkovsky has contributed are:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Health Information Management

Shlomo Berkovsky's research addresses various topics, particularly focusing on the applications of AI and machine learning in healthcare and medical imaging. The key topics of their work include:

  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare
  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Topic Modeling
  • Digital Imaging for Blood Diseases
  • Radiomics and Machine Learning in Medical Imaging

Some of their recent papers include:

  • Mobile health and privacy: cross sectional study (2021, BMJ)
  • Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning (2020, Scientific Reports)
  • Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners (2020, Journal of the American Medical Informatics Association)
  • Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions (2021, Biomedical Engineering Letters)
  • Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review (2023, International Journal of Medical Informatics)

The frequent co-authors who have collaborated with Shlomo Berkovsky include:

  • Enrico Coiera
  • Sidong Liu
  • Hao Xiong
  • Juan C. Quiroz
  • Dana Rezazadegan

Their publications have appeared in a variety of academic venues, with several journals and conferences hosting multiple works, such as:

  • Scientific Reports
  • Journal of the American Medical Informatics Association
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ACM Transactions on Interactive Intelligent Systems
  • arXiv (Cornell University)

Best Publications

  • Group-based recipe recommendations: analysis of data aggregation strategies

    Shlomo Berkovsky;Jill Freyne

  • Mediation of User Models: for Enhanced Personalization in Recommender Systems

    Shlomo Berkovsky;Tsvi Kuflik;Francesco Ricci

  • Intelligent food planning: personalized recipe recommendation

    Jill Freyne;Shlomo Berkovsky

  • The Personalization of Conversational Agents in Health Care: Systematic Review.

    Ahmet Baki Kocaballi;Shlomo Berkovsky;Juan C Quiroz;Liliana Laranjo

  • Cross-Domain Mediation in Collaborative Filtering

    Shlomo Berkovsky;Tsvi Kuflik;Francesco Ricci

  • Enhancing privacy and preserving accuracy of a distributed collaborative filtering

    Shlomo Berkovsky;Yaniv Eytani;Tsvi Kuflik;Francesco Ricci

  • Cross-Domain Recommender Systems.

    Iván Cantador;Ignacio Fernández-Tobías;Shlomo Berkovsky;Paolo Cremonesi

  • Influencing individually: fusing personalization and persuasion

    Shlomo Berkovsky;Jill Freyne;Harri Oinas-Kukkonen

  • Physical activity motivating games: virtual rewards for real activity

    Shlomo Berkovsky;Mac Coombe;Jill Freyne;Dipak Bhandari

  • Mobile health and privacy: cross sectional study

    Gioacchino Tangari;Muhammad Ikram;Kiran Ijaz;Mohamed Ali Kaafar

  • Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning.

    Sidong Liu;Zubair Shah;Zubair Shah;Aydin Sav;Carlo Russo

  • Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

    Emily Brindal;Jill Freyne;Ian Saunders;Shlomo Berkovsky

  • Challenges of developing a digital scribe to reduce clinical documentation burden

    Juan C. Quiroz;Liliana Laranjo;Ahmet Baki Kocaballi;Shlomo Berkovsky

  • Applying Differential Privacy to Matrix Factorization

    Arnaud Berlioz;Arik Friedman;Mohamed Ali Kaafar;Roksana Boreli

  • Privacy Aspects of Recommender Systems

    Arik Friedman;Bart P. Knijnenburg;Kris Vanhecke;Luc Martens

  • A differential privacy framework for matrix factorization recommender systems

    Arik Friedman;Shlomo Berkovsky;Mohamed Ali Kaafar

  • Detecting Personality Traits Using Eye-Tracking Data

    Shlomo Berkovsky;Ronnie Taib;Irena Koprinska;Eileen Wang

  • Putting things in context: Challenge on Context-Aware Movie Recommendation

    Alan Said;Shlomo Berkovsky;Ernesto W. De Luca

  • Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners

    A Baki Kocaballi;A Baki Kocaballi;Kiran Ijaz;Liliana Laranjo;Liliana Laranjo;Juan C Quiroz

  • Design and pilot results of a mobile phone weight-loss application for women starting a meal replacement programme

    Emily Brindal;Gilly Hendrie;Jill Freyne;Mac Coombe

  • Optimal greedy diversity for recommendation

    Azin Ashkan;Branislav Kveton;Shlomo Berkovsky;Zheng Wen

Frequent Co-Authors

Tsvi Kuflik
Tsvi Kuflik University of Haifa
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Enrico Coiera
Enrico Coiera Macquarie University
Mohamed Ali Kaafar
Mohamed Ali Kaafar Macquarie University
Branislav Kveton
Branislav Kveton Adobe Systems (United States)
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Geert-Jan Houben
Geert-Jan Houben Delft University of Technology
Timothy Baldwin
Timothy Baldwin University of Melbourne
Antonio Krüger
Antonio Krüger German Research Centre for Artificial Intelligence
Gregory T. Smith
Gregory T. Smith University of Kentucky

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