Selected Publications

* = Student

^ = Alphabetically ordered



  1. Ariel Rosenfeld and Sarit Kraus. Predicting Human Decision-Making: From Prediction to Action, 2018, Morgan and Claypool Publishers.

Book Chapters:

  1. David Benrimoh, Sonia Israel, Kelly Perlman, Nykan Mirchi, Ariel Rosenfeld, Sabrina Knappe, Jason Behrmann, Colleen Rollins and Raymond Penh You. Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health. The NIPS’17 Competition: Building Intelligent Systems. Springer, 2018. 251-287.‏
  2. Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman*, Bechara Saab, Mark Thoburn, Cheryl Gabbay and Amit Yaniv-Rosenfeld*. Big Data Analytics and AI in Mental Healthcare. Applications of Big Data in Healthcare. Academic Press, 2021.

Journal papers:

  1. Amos Azaria, Ariel RosenfeldSarit Kraus, Claudia V. Goldman and Omer Tsimhoni. Advice Provision for Energy Saving in Automobile Climate Control Systems, AI Magazine 2015.
  2. Ariel Rosenfeld and Sarit Kraus. Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior, ACM Transactions on Interactive Intelligent Systems (TiiS), 2016.
  3. Ariel Rosenfeld, Noa Agmon, Oleg Maksimov* and Sarit Kraus. Intelligent Agent Supporting Human-Multi-Robot Team Collaboration, Artificial Intelligence, 2017.
  4. Ariel Rosenfeld, Moshe Cohen*, Matthew E. Taylor and Sarit Kraus. Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects, Knowledge Engineering Review, 2018.
  5. Ariel Rosenfeld. Are Drivers Ready for Traffic Enforcement Drones?, Accident Analysis and Prevention, 2019.
  6. Ariel Rosenfeld and Oleg Maksimov*. Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, Artificial Intelligence, 2019.
  7. Ariel Rosenfeld, Moshe Cohen*, Sarit Kraus and Joseph Keshet. Online Prediction of Time Series with Assumed Behavior, Engineering Applications of Artificial Intelligence, 2020.
  8. Ariel Rosenfeld, Oleg Maksimov* and Sarit Kraus. When Security Games Hit Traffic: A Deployed Optimal Traffic Enforcement System, Artificial Intelligence, 2020.
  9. Ariel Rosenfeld and Avinatan Hassidim. Too Smart for Their Own Good: Trading Trufulness for Efficiency in the Israeli Medical Internship Market. Judgment and Decision Making, 2020.
  10. Akiva Kleinerman*, Ariel Rosenfeld, Sarit Kraus and Francesco Ricci. Supporting Users in Finding Successful Matches in Reciprocal Recommender Systems, User Modeling and User-Adapted Interaction, 2020.
  11. Hanan Rosemarin*, Ariel Rosenfeld, Sarit Kraus, Steven Lapp*. Online Learning-Based Scheduling of Patients to Medical Professionals, Sensors, 2021.
  12. Ariel Rosenfeld. Optimal Retrieval in Puzzle-Based Storage with Heuristic Search and Tabulation, Networks, 2021.
  13. Shir Aviv-Reuven*, Ariel Rosenfeld. Publication Patterns’ Changes due to the COVID-19 Pandemic: A longitudinal and short-term scientometric analysis, Scientometrics, 2021.
  14. David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner. New Perspectives on Safety, Explainability and Effectiveness of Artificial Intelligence and Machine Learning in Healthcare, Frontiers in Artificial Intelligence, 2021.     
  15. Ariel Rosenfeld. Predicting Strategic Decisions Based on Emotional Signals, Cybernetics and Systems, 2021.
  16. Laurent Bultaeu, Noam Hazon, Rutvik Page, Ariel Rosenfeld and Nimrod Talmon^. Justified Representation for Perpetual Voting. IEEE Access, 2021.
  17. Akiva Kleinerman*, Ariel Rosenfeld, David Benrimoh, Robert Fratila, Caitrin Armstrong, Joseph Mhlteretter, Eliyahu Shneider*, Amit Yaniv-Rosenfeld, Gustavo Turecki, Adam Kapelner. Treatment selection using prototyping in latent-space with application to depression treatment, PLOS one, 2021.
  18. Ariel Rosenfeld, Ehud Sapiro and Nimrod Talmon. Proportional Ranking in Primary Elections: A Case Study, Party Politics, 2022.
  19. Ariel Rosenfeld, Nitzan Haimovitch*. Designing Rule-Based Conversational Agents with Behavioral Programming: A Study of Human Subjects, EuroMed Journal of Business, 2022.
  20. Ariel Rosenfeld and Oleg Maksimov*. Should Young Computer Scientists Stop Collaborating with their Doctoral Advisors? Communications of the ACM, 2022.
  21. Akiva Kleinerman*, Ariel Rosenfeld, Hanan Rosemarin. Machine-Learning Based Routing of Callers in an Israeli Mental Health Hotline. Israel Journal of Health Policy Research, 2022.
  22. Shir Aviv-Reuven*, Ariel Rosenfeld. A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus, Scientometrics, 2022.
  23. Ariel Alexi*, Ariel Rosenfeld, Teddy Lazebnik. The Trade-off Between Airborne Pandemic Control and Energy Consumption Using Air-Ventilation Solutions, Sensors, 2022.
  24. Ariel Alexi*, Ariel Rosenfeld, Teddy Lazebnik. A Security Games Inspired Approach for Distributed Controlling of Pandemic Spread, Advanced Theory and Simulation, 2022.    
  25. Amit Yaniv-Rosenfeld, Ariel Rosenfeld, Efrat Hirsch Klein. COVID-19 Restrictions and Visitations to an Israeli Psychiatric Emergency Department: A Four-Lockdowns Retrospective Study. Psychiatry Research, 2022.
  26. Ariel Rosenfeld, Avshalom Elmalech. Information Science Students’ Background and Data Science Competencies: An Exploratory Study, Journal of Education for Library and Information Science, 2023.
  27. Amir Elalouf, Ariel Rosenfeld, Ofir Rockach*. The Extended David-Yechiali Rule for Kidney Allocation. Mathematics, 2023.
  28. Amit Yaniv-Rosenfeld, Elizaveta Savchenko*, Ariel Rosenfeld, Teddy Lazebnik. Scheduling The BCG and IL-2 Injection for Bladder Cancer Immunotherapy Treatment, Mathematics, 2023.
  29. Ariel Rosenfeld. Is DBLP a Good Computer Science Database? Computer, 2023.
  30. Dana Arad*, Ariel Rosenfeld, Racheli Magnezi. What do we know about contributing factors for “never events” in operating rooms? A machine learning analysis, Patient Safety in Surgery, 2023.
  31. Gilad Taub, Avshalom Elmalech, Noa Aharony, Ariel Rosenfeld. Granting Access to Personal Information While Using Augmented Reality Applications, Information, 2023.
  32. Amit Yaniv-Rosenfeld, Ariel Rosenfeld, Hagai Maoz. Hospitalization Outcomes for Patients with Severe Mental Illness Treated by Female vs Male Psychiatry Residents, Psychiatry in Clinical Practice, 2023.
  33. Ariel Alexi*, Ariel Rosenfeld, Teddy Lazebnik. Multi-Species Prey-Predator Dynamics During a Multi-Strain Pandemic, Chaos, 2023.
  34. David Benrimoh, Akiva Kleinerman*, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan Karp, Benoit Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki. Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies, The American Journal of Geriatric Psychiatry, 2023.
  35. Elizaveta Savchenko*, Ariel Rosenfeld, Svetlana Bunimovich-Mendrazitsky. Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics, Scientific Reports, 2023.
  36. Amir Elalouf, Hadas Elalouf* and Ariel Rosenfeld^. Modulatory immune responses in fungal infection associated with organ transplant advancements, management, and challenges, Frontiers in Immunology, 2023.
  37. Noam Hazon, Sefi Erlich, Ariel Rosenfeld, Sarit Kraus. Negotiation Strategies for Agents with Ordinal Preferences: Theoretical Analysis and Human Study, Artificial Intelligence Journal, 2023.
  38. Amir Elalouf, Tomer Kedarya, Hadas Elalouf, Ariel Rosenfeld. Computational design and evaluation of mRNA-and protein-based conjugate vaccines for influenza A and SARS-CoV-2 viruses, Journal of Genetic Engineering and Biotechnology, 2023.

Journal papers in Hebrew Journals (Refereed):

  1. אריאל רוזנפלד, אבשלום אלמלח. רקע אקדמי והצלחה בהכשרת מדעי הנתונים: מחקר גישוש במסלול הטכנולוגי לתואר שני במדעי המידע. מידעת, 2022.


  1. Armstrong, C., Benrimoh, D., Fratila, R., Kapelner, A., Kleinerman, A., Mehltretter, J., & Rosenfeld, A. (2022). Systems and methods for treatment selection. U.S. Patent Application No. 17/493,070.‏


Papers in highly refereed conferences:

  1. Ariel Rosenfeld and Sarit Kraus. Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior, AAAI 2015 [26% acceptance rate].
  2. Ariel RosenfeldAmos AzariaSarit Kraus, Claudia V. Goldman and Omer Tsimhoni. Adaptive Advice in Automobile Climate Control Systems, AAMAS 2015 [25% acceptance rate] (also presented in AAAI workshop WAIT-2015).
  3. Ariel Rosenfeld, Noa Agmon, Oleg Maksimov*, Amos Azaria and Sarit Kraus. Intelligent Agent Supporting Human-Multi-Robot Team Collaboration, IJCAI 2015 [28% acceptance rate], (also presented in AAMAS workshop ARMS 2015 & BISFAI 2015). Best Robotics Video Award.
  4. Ariel Rosenfeld and Sarit Kraus. Strategical Argumentative Agent for Human Persuasion, ECAI 2016 [27% acceptance rate].
  5. Ariel Rosenfeld, Joseph Keshet, Claudia Goldman and Sarit Kraus. Online Prediction of Exponential Decay Time Series with Human-Agent Application, ECAI 2016 [27% acceptance rate].
  6. Ariel Rosenfeld, Matthew E. Taylor and Sarit Kraus. Speeding up Tabular Reinforcement Learning Using State-Action Similarities (Extended Abstract), AAMAS 2017 [26% acceptance rate, additional 22% for extended abstracts]. Best Paper Award for the extended version at the Fifteenth Adaptive Learning Agents workshop at AAMAS 2017 [40% acceptance rate].
  7. Ariel Rosenfeld, Oleg Maksimov and Sarit Kraus. When Security Games Hit Traffic: Optimal Traffic Enforcement under One Sided Uncertainty, IJCAI 2017 [25% acceptance rate], (also presented in AAMAS workshop ADVERSE 2017 and BISFAI 2017).
  8. Ariel Rosenfeld, Matthew E. Taylor and Sarit Kraus. Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects, IJCAI 2017 [25% acceptance rate].
  9. Ariel Rosenfeld, Oleg Maksimov and Sarit Kraus. Optimizing Traffic Enforcement: From the Lab to the Roads, GameSec 2017 [40% acceptance rate].
  10. Ariel Rosenfeld, Odaya Kardashov*, Orel Zang*. ACAT: A Novel Machine-Learning-Based Tool for Automating Android Application Testing (Demonstration Paper), HVC 2017 [34% acceptance rate].
  11. Ariel Rosenfeld, Odaya Kardashov*, Orel Zang*. Automation of Android Applications Testing Using Machine Learning Activities Classification, MobileSoft 2018 [36% acceptance rate].
  12. Ariel Rosenfeld, Oleg Maksimov* and Sarit Kraus. Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, IJCAI 2018 [20% acceptance rate].
  13. Akiva Kleinerman*, Ariel Rosenfeld and Sarit Kraus. Providing Explanations for Automated Advice in Reciprocal Environments, RecSys 2018 [17.7% acceptance rate].
  14. Akiva Kleinerman*, Ariel Rosenfeld, Francesco Ricci and Sarit Kraus. Optimizing Interactions in Reciprocal Recommender Systems, RecSys 2018 [17.7% acceptance rate].
  15. Hannan Rosemarin*, Ariel Rosenfeld and Sarit Kraus. Emergency Department Online Patient-Caregiver Scheduling, AAAI 2019 [16% acceptance rate].
  16. David Harel, Assaf Maron, Ariel Rosenfeld, Moshe Vardi and Gera Weiss^. Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search, AAAI 2019 (Blue Sky Track), [16% acceptance rate].
  17. Ariel Rosenfeld. Human-Agent Interaction for Human Space Exploration, UMAP 2019 [25% acceptance rate].
  18. Hannan Rosemarin*, Ariel Rosenfeld. Playing Chess at a Desired Human Level and Style, HAI 2019 [34% acceptance rate].
  19. Hodayah Zargari*, Ariel Rosenfeld, Avshalom Elmalech. Online Self-presentation: Examining Gender Differences in Academic Scholars’ Personal Web-pages, iConference 2023 [40% acceptance rate].
  20. Shir Aviv-Reuven*, Ariel Rosenfeld. Exploring the Association Between Multiple Classifications and Journal Rankings, iConference 2023 [40% acceptance rate].

Papers in refereed workshops and seminars:

  1. Ariel Rosenfeld and Sarit Kraus. Argumentation Theory in the Field – An Empirical Study of Fundamental Notions. In Proceedings of the Frontiers and Connections between Argumentation Theory and Natural Language Processing Seminar (ArgNLP-14), Bertinoro, Italy, July 2014. 
  2. Ariel Rosenfeld. Automated Agents for Advice Provision, IJCAI Doctoral Consortium 2015.
  3. Ariel Rosenfeld. Strategical Argumentative Agent for Human Persuasion: A Preliminary Report, Dagstuhl Seminar 16161, Germany, April 2016.
  4. Ariel Rosenfeld. Human-Multi-Robot Team Collaboration using Advising Agents, AAMAS Doctoral Mentoring Program 2016.
  5. Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus and Noa Agmon. Human-Multi-Robot Team Collaboration for Efficient Warehouse Operation, AAMAS workshop on Autonomous Robots and Multi-Robot System 2016.
  6. Federico Cerutti, Alexis Palmer, Ariel Rosenfeld, Jan Snajder and Francesca Toni. A Pilot Study in Using Argumentation Frameworks for Online Debates,  COMMA workshop on Systems and Algorithms for Formal Argumentation (SAFA) 2016.  
  7. Noa Agmon, Oleg Maksimov, Ariel Rosenfeld, Shai Shlomai and Sarit Kraus. Multiple Robots for Multiple Missions: Architecture for Complex Collaboration, IJCAI 2017 workshop on Architectures for Generality & Autonomy.
  8. Emmanuel Hadoux, Ariel Rosenfeld and Jean-Baptiste Corrégé. From Psychological Persuasion to Abstract Argumentation: A Step Forward, Computational Models of Natural Argument (CMNA) 2018.

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