Menu
Selected Publications
Online prediction of time series with
assumed behavior
Published: 2020/2/1 By: Ariel Rosenfeld, Moshe Cohen, Sarit Kraus, Joseph Keshet
The prediction of future time series values is essential for many fields and applications. In some settings, the time series behavior is expected to follow distinct patterns which in
Are drivers ready for traffic enforcement drones?
Published: 2019/1/1 By: Ariel Rosenfeld
Traffic enforcement drones reduce high-risk driving behavior which often leads to traffic crashes. However, the introduction of drones may face a public acceptance challenge
Optimal cruiser-drone traffic enforcement
under energy limitation
Published: 2019/12/1 By: Ariel Rosenfeld, Oleg Maksimov
Drones can assist in mitigating traffic accidents by deterring reckless drivers, leveraging their flexible mobility. In the real-world, drones are fundamentally limited by their
Emergency department online patient-
caregiver scheduling
Published: 2019/7/21 By: Ariel Rosenfeld, Hanan Rosemarin, Sarit Kraus
Emergency Departments (EDs) provide an imperative source of medical care. Central to the ED workflow is the patientcaregiver scheduling, directed at getting the right patient to
Big data analytics and ai in mental healthcare
Published: 2019/3/12 By: 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, Amit Yaniv-Rosenfel
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world’s population. The application of Artificial Intelligence
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)
Published: 2019/7/17 By: Ariel Rosenfeld, David Harel, Assaf Marron, Moshe Vardi, Gera Weiss
Artificial intelligence (AI) techniques, including, eg, machine learning, multi-agent collaboration, planning, and heuristic search, are emerging as ever-stronger tools for
Playing Chess at a Human Desired
Level and Style
Published: 2019/9/25 By: Ariel Rosenfeld, Hanan Rosemarin
Human chess players prefer training with human opponents over chess agents as the latter are distinctively different in level and style than humans. Chess agents designed
Human-Agent Interaction for Human Space Exploration
Published: 2019/6/6 By: Ariel Rosenfeld
Human space exploration creates unique challenges and opportunities for many scientific disciplines. From the human-agent interaction perspective, these require
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search
Published: 2019 By: Ariel Rosenfeld, David Harel, Assaf Marron, Moshe Vardi, Gera Weiss
Artificial intelligence (AI) techniques, including, eg, machine learning, multi-agent collaboration, planning, and heuristic search, are emerging as ever-stronger tools for
Predicting human decision-making:
From prediction to action
Published: 2018/1/22 By: Ariel Rosenfeld, Sarit Kraus
Human decision-making often transcends our formal models of “rationality.” Designing intelligent agents that interact proficiently with people necessitates the modeling of
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects
Published: 2018 By: Ariel Rosenfeld, Moshe Cohen, Matthew E Taylor, Sarit Kraus
Reinforcement learning (RL) can be extremely effective in solving complex, real-world problems. However, injecting human knowledge into an RL agent may require extensive
Providing explanations for recommendations in reciprocal environments
Published: 2018/9/27 By: Ariel Rosenfeld, Akiva Kleinerman, Sarit Kraus
Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, are becoming increasingly popular.
Optimally balancing receiver and recommended users' importance in reciprocal recommender systems
Published: 2018/9/27 By: Ariel Rosenfeld, Akiva Kleinerman, Francesco Ricci, Sarit Kraus
Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, are becoming increasingly popular.
Automation of android applications functional testing using machine learning activities classification
Published: 2018/5/27 By: Ariel Rosenfeld, Odaya Kardashov, Orel Zang
Following the ever-growing demand for mobile applications, researchers are constantly developing new test automation solutions for mobile developers. However, researchers
Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health
Published: 2018 By: Ariel Rosenfeld, David Benrimoh, Robert Fratila, Sonia Israel, Kelly Perlman, Nykan Mirchi, Sneha Desai, Sabrina Knappe, Jason Behrmann, Colleen Rollins, Raymond Penh You
Aifred Health, one of the top two teams in the first round of the IBM Watson AI XPRIZE competition, is using deep learning to solve the problem of treatment selection
From Psychological Persuasion To Abstract Argumentation: A Step Forward
Published: 2018/4/6 By: Ariel Rosenfeld, Jean-Baptiste Corrégé, Emmanuel Hadoux
Developing argumentation-based persuasive agents that leverage human argumentative techniques is an open challenge in the computational argumentation field.
Predicting Human Decision-Making: From Prediction to Action, Ariel Rosenfeld, Sarit Kraus, Morgan & Claypool Publishers (2018)
Published: 2018/10/1 By: Ariel Rosenfeld, Sarit Kraus, Bo an לבדוק
The last few years have witnessed significant AI research progress in many domains including vision, natural language processing, security, and games such as Go and Poker.
Strategic Human-Agent Interaction: From Promoting Traffic Safety to Search and Rescue
Published: 2018/7/9 By: Ariel Rosenfeld
The last few years have witnessed significant AI research progress in many domains including vision, natural language processing, security, and games such as Go and Poker.
When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty.
Published: 2017/8/19 By: Ariel Rosenfeld, Sarit Kraus
Efficient traffic enforcement is an essential, yet complex, component in preventing road accidents. In this paper, we present a novel model and an optimizing algorithm
Optimizing traffic enforcement:
From the lab to the roads
Published: 2017/10/23 By: Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus
Road accidents are the leading causes of death of youths and young adults worldwide. Efficient traffic enforcement has been conclusively shown to reduce high-risk
Automation of Android Applications Testing Using Machine Learning Activities Classification
Published: 2017/9/4 By: Ariel Rosenfeld, Odaya Kardashov, Orel Zang
Mobile applications are being used every day by more than half of the world’s population to perform a great variety of tasks. With the increasingly widespread usage
Speeding up tabular reinforcement learning using state-action similarities
Published: 2017/5/8 By: Ariel Rosenfeld, Matthew E Taylor, Sarit Kraus
One of the most prominent approaches for speeding up reinforcement learning is injecting human prior knowledge into the learning agent. This paper proposes a novel
ACAT: a novel machine-learning-based tool for automating Android application testing
Published: 2017/11/13 By: Ariel Rosenfeld, Odaya Kardashov, Orel Zang
Mobile applications are being used every day by more than half of the world’s population to perform a great variety of tasks. With the increasingly widespread usage
Multiple Robots For Multiple Missions: Architecture for Complex Collaboration
Published: 2017 By: Ariel Rosenfeld, Noa Agmon, Oleg Maximov, Shai Shlomai, Sarit Kraus
As systems of multiple robots become more prevalent both in research and in real world applications, they may be required to handle new missions, collaborate in teams
Strategical argumentative agent for human persuasion
Published: 2016/8/29 By: Ariel Rosenfeld, Sarit Kraus,
Automated agents should be able to persuade people in the same way people persuade each other-via dialogs. Today, automated persuasion modeling and research
A pilot study in using argumentation frameworks for online debates
Published: 2016/8/31 By: Ariel Rosenfeld, Federico Cerutti, Alexis Palmer, Jan Šnajder, Francesca Toni
We describe a pilot study in using argumentation frameworks obtained from an online debate to evaluate positions expressed in the debate. This pilot study aims at exploring
Online prediction of exponential decay time series with human-agent application
Published: 2016/8/29 By: Ariel Rosenfeld, Joseph Keshet, Claudia V Goldman, Sarit Kraus
Exponential decay time series are prominent in many fields. In some applications, the time series behavior can change over time due to a change in the user’s preferences
Human-multi-robot team collaboration for efficent warehouse operation
Published: 2016 By: Ariel Rosenfeld, A Noa, O Maksimov, S Kraus
Multi-robot systems have been successfully deployed in modern warehouses where they are required to move merchandise and equipment from one place to another.
Strategical argumentative agent for human persuasion: A preliminary report
Published: 2016/4/17 By: Ariel Rosenfeld, Sarit Kraus
Automated agents should be able to persuade people in the same way people persuade each other, namely via dialog. Today, automated persuasion modeling and investigation
Human-Multi-Robot Team Collaboration using Advising Agents: (Doctoral Consortium)
Published: 2016/5/9 By: Ariel Rosenfeld
The number of multi-robot systems deployed in field applications has risen dramatically over the years. Nevertheless, the part of the human operator in these systems
3.20 Strategical Argumentative Agent for Human Persuasion
Published: 2016 By: Ariel Rosenfeld
Automated agents should be able to persuade people in the same way people persuade each other–via dialogs. Today, automated persuasion modeling and research
חסר קישור
Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior
Published: 2015 By: Ariel Rosenfeld, Sarit Kraust
Argumentative discussion is a highly demanding task. In order to help people in such discussions, this article provides an innovative methodology for developing agents
Intelligent Agent Supporting Human-Multi-Robot Team Collaboration⋆
Published: 2015 By: Ariel Rosenfeld, Noa Agmon, Oleg Maksimov, Amos Azaria, Sarit Kraus
The number of multi-robot systems deployed in field applications has risen dramatically over the years. Nevertheless, supervising and operating multiple robots
Advice provision for energy saving in automobile climate-control system
Published: 2015/9/28 By: Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V Goldman, Omer Tsimhoni
Reducing energy consumption of climate control systems is important in order to reduce human environmental footprint. The need to save energy becomes even greater
Adaptive advice in automobile climate
control systems
Published: 2015 By: Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V Goldman, Omer Tsimhoni
Reducing an automobile’s energy consumption will lower its dependency on fossil fuel and extend the travel range of electric vehicles. Automobile Climate Control Systems
Automated agents for advice provision
Published: 2015/6/27 By: Ariel Rosenfeld
In this thesis, we focus on automated advising agents. The advice given is a form of relating recommendations or guidance from an automated agent to its human user.
Argumentation Theory in the Field: An Empirical Study of Fundamental Notions
Published: 2014 By: Ariel Rosenfeld, Sarit Kraus
Argumentation Theory provides a very powerful set of principles, ideas and models. Yet, in this paper we will show that its fundamental principles unsatisfactorily