Ariel Rosenfeld

Assistant Professor (a.k.a Lecturer), Bar-Ilan University, Israel.

ABOUT

My name is Ariel Rosenfeld, and I'm an Assistant Professor (a.k.a Lecturer) at Bar-Ilan University, Israel.
My research interests include Artificial Intelligence; Autonomous Agents; Human-Agent Interaction; Machine Learning and Human Factors.

CV

NEWS

November 2018: Two papers accepted to AAAI 2018. We are in the news (again)!

October 2018: I'm giving an invited talk at the Israeli Parlament (the Knesset) on November 13th (AI and traffic enforcement).

July 2018: Two papers accepted to RecSys 2018.

June 2017: I'm giving a tutorial at EASSS 2018, Maastricht, Holland and at IJCAI 2018, Stockholm, Sweeden based on my book.

June 2018: Won the Victor Lesser Distinguished Dissertation Award, and a new paper at IJCAI 2018 .

Febuary 2018: My research on traffic enforcement receives some media attention. Calcalist (Hebrew), Ctech (English), Channel 13 News (Hebrew)

January 2018: My new book is now available. Webpage, Purchase.

November 2017: PhD approved. My dissertation is available here .

August 2017: I'm giving an invited talk at 3rd workshop on Conflict Resolution in Decision Making (COREDEMA) during IJCAI 2017. New paper accepted to GameSec 2017.

July 2017: Joined Prof. David Harel's group at Weizmann Institute of Science as a Koshland Postdoctoral Fellow. If you wish to work with me, please send me an email.

June 2017: I'm giving a tutorial at EASSS 2017, Gdansk, Poland titled "Predicting Human Decision-Making: Tools of the Trade"

May 2017: Two papers accepted to IJCAI 2017, BEST PAPER AWARD at the 15th ALA workshop at AAMAS 2017.

February 2017: I'm giving a tutorial at AAAI 2017, San-Fransisco, USA titled "Predicting Human Decision-Making: Tools of the Trade".

January 2017: Won Best Lecturer award from the Bar-Ilan University, Israel.



EDUCATION

PhD in Computer Science
Bar-Ilan University, Israel
Direct PhD

2017

B.Sc magna cum laude in Computer Science and Economics
Tel-Aviv University, Israel

2013



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Publications

27. Akiva Kleinerman, Ariel Rosenfeld and Sarit Kraus. Providing Explanations for Automated Advice in Reciprocal Environments, RecSys 2018 [17.7% acceptance rate].

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26. Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci and Sarit Kraus. Optimizing Interactions in Reciprocal Recommender Systems, RecSys 2018 [17.7% acceptance rate].

[PDF]

25. David Benrimoh, Robert Fratila, Sonia Israel, Kelly Perlman, Nykan Mirchi, Sneha Desai, Ariel Rosenfeld, Sabrina Knappe, Jason Behrmann, Colleen Rollins,Raymond Penh You. Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health. The NIPS '17 Competition: Building Intelligent Systems. Springer.

[PDF]

24. Ariel Rosenfeld, Moshe Cohen, Mattew Taylor and Sarit Kraus. Leveraging human knowledge in tabular reinforcement learning: A study of human subjects, Knowledge Engineering Review (forthcoming).

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23. Ariel Rosenfeld, Oleg Maksimov and Sarit Kraus. Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, IJCAI 2018 [20% acceptance rate].

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22. Ariel Rosenfeld, Odaya Kardashov and Orel Zang. Automation of Android Applications Functional Testing Using Machine Learning Activities Classification, MobileSoft 2018 [44% acceptance rate].

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21. Ariel Rosenfeld Automated Agents for Advice Provision (PhD Thesis).

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20. Ariel Rosenfeld, Odaya Kardashov and Orel Zang. ACAT: A Novel Machine-Learning-Based Tool for Automating Android Application Testing (Demonstration Paper), HVC 2017 [34% acceptance rate].

[PDF] [ Cite]

19. 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 (AGA).

[PDF] [ Cite]

18. Emmanuel Hadoux, Ariel Rosenfeld Jean-Baptiste Corrégé. From Psychological Persuasion to Abstract Argumentation: A Step Forward, Artificial Intelligence and Cognition workshop (AIC) 2017.

[PDF] [ Cite]

17. Ariel Rosenfeld Oleg Maksimov and Sarit Kraus. Optimizing Traffic Enforcement: From the Lab to the Roads, GameSec 2017 [40% acceptance rate].

[PDF] [ Cite]

16. Ariel Rosenfeld and Sarit Kraus. When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty. IJCAI 2017 [25% acceptance rate]. [25% acceptance rate]

[PDF] [ Cite]

15. Ariel Rosenfeld, Mattew E. Taylor and Sarit Kraus. Leveraging Human Knowledge in Tabular Reinforcement Learning:  A Study of Human Subjects. IJCAI 2017 [25% acceptance rate]. [25% acceptance rate]

[PDF] [ Cite]

14. Ariel Rosenfeld, Mattew E. Taylor and Sarit Kraus. Speeding up Tabular Reinforcement Learning Using State-Action Similarities (Exteded Abstract). AAMAS 2017. [26% acceptance rate, additional 21% for extended abstracts] -- Best Paper Award for the extended version at the Fifteenth Adaptive Learning Agents workshop at AAMAS 2017 [40% acceptance rate].

[PDF] [ Cite]

13. Federico Cerutti, Alexis Palmer, Ariel Rosenfeld, Jan Snajder and Francesca Toni. A Pilot Study in Using Argumentation Frameworks with Argument Mining. Systems and Algorithms for Formal Argumentation workshop (SAFA) 2016.

[PDF] [ Cite]

12. Ariel Rosenfeld and Sarit Kraus. Strategical Argumentative Agent for Human Persuasion, ECAI 2016 [27% acceptance rate].

[PDF] [ Cite]

11. 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].

[PDF] [ Cite]

10. 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.

[PDF] [ Cite]

9. Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus and Noa Agmon. Human-Multi-Robot Team Collaboration for Efficient Warehouse Operation, AAMAS workshop ARMS 2016.

[PDF] [ Cite]

8. Ariel Rosenfeld. Human-Multi-Robot Team Collaboration using Advising Agents, AAMAS DMP 2016.

7. Ariel Rosenfeld and Sarit Kraus. Strategical Argumentative Agent for Human Persuasion: A Preliminary Report, Frontiers and Connections between Argumentation Theory and Natural Language Processing Seminar (ArgNLP-16), Dagstuhl, Germany, April 2016.

6. Ariel Rosenfeld, Automated Agents for Advice Provision, IJCAI DC 2015.

[PDF] [ Cite]

5. 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).

[PDF] [ Cite][PPT] [Demo]

4. Ariel Rosenfeld, Amos Azaria, Sarit 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).

[PDF ] [ Cite][PPT]

3. Ariel Rosenfeld and Sarit Kraus . Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior, AAAI 2015 (oral presentation) [26% acceptance rate, 11% orally presented].

2. Amos Azaria, Ariel Rosenfeld, Sarit Kraus, Claudia V. Goldman and Omer Tsimhoni. Advice Provision for Energy Saving in Automobile Climate Control Systems. In AI Magazine 36 (3),2015, 61-72.

[PDF] [Cite]

1. Ariel Rosenfeld and Sarit Kraus. Argumentation Theory in the Field - An Empirical Study of Fundamental Notions. In Proceedings of "Frontiers and Connections between Argumentation Theory and Natural Language Processing" Seminar , Bertinoro, Italy, July 2014.

[PDF] [Cite]


CONTACT

Email
arielros1 'at' gmail com
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