Scientometrics
Published: 2021 By: Shir Aviv-Reuven, Ariel Rosenfeld
We study the changes in the volume of publications in both peer reviewed journals and preprint servers, average time to acceptance of papers submitted to biomedical journals, international (co-)authorship of these papers (expressed by diversity and volume), and the possible association between journal metrics and said changes.
Networks
Published: 2021 By: Ariel Rosenfeld
In this work, we formulate a highly generic optimal retrieval problem, consisting of any number of loads to be retrieved, and an arbitrary number of I/O points and empty locations (escorts) on a two-dimensional lattice graph. We theoretically analyze the characteristics of the problem and propose a set of graph search algorithms to tackle the inherent complexities thereof.
Judgment and Decision Making (JDM)
Published: 2020 By: Ariel Rosenfeld, Avinatan Hassidim
In this article, we investigate this trade-off through the high-stakes Israeli medical internship market.
User Modeling and User-Adapted Interaction (UMUAI)
Published: 2020 By: Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus and Francesco Ricci.
Generating successful recommendations in such systems is challenging as the system must balance two objectives: (1) recommending users with whom the recommendation receiver is likely to initiate an interaction and (2) recommending users who are likely to reply positively to the recommendation receiver initiated interaction. Unfortunately, these objectives are partially conflicting…
Artificial Intelligence Journal (AIJ)
Published: 2020 By: Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus.
In this article, we present a novel model, an optimizing algorithm and a deployed system which together mitigate many of the computational and real-world challenges of traffic enforcement allocation in large road networks.
Engineering Applications of Artificial Intelligence.
Published: 2020 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 can be used…
Accident Analysis & Prevention.
Published: 2019 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 challenges…
Artificial Intelligence Journal (AIJ).
Published: 2019 By: Ariel Rosenfeld, Oleg Maksimov
Drones can assist in mitigating traffic accidents by deterring reckless drivers, leveraging their flexible mobility. However, in the real-world, drones are fundamentally limited …
AAAI
Published: 2019 By: Hanan Rosemarin, Ariel Rosenfeld Sarit Kraus
Emergency Departments (EDs) provide an imperative source of medical care. Central to the ED workflow is the patient-caregiver scheduling, which is highly complex.
Published: 2019 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 can significantly help.
AAAI
Published: 2019 By: David Harel, Assaf Marron, Moshe Vardi, Ariel Rosenfeld, Gera Weiss
Artificial intelligence (AI) techniques can go hand in hand with Executable Specifications.
HAI
Published: 2019 By: Hanan Rosemarin Ariel Rosenfeld,
Human chess players prefer training with human opponents over chess agents as the latter are distinctively different in level and style than humans. Can we fill the gap?
UMAP
Published: 2019 By: Ariel Rosenfeld
Human space exploration creates unique challenges and opportunities for many scientific disciplines. From the human-agent interaction perspective, here are a few…
Published: 2018 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 their deicsions…
KER
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 experience…
RecSys
Published: 2018 By: Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus
Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, require different explnations than regular ones do…
RecSys
Published: 2018 By: Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus
Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, require some form of balancing between the receiver and the recommended user’s interests…
MobileSoft
Published: 2018 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
NIPS
Published: 2018 By: 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, 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 depression treatment selection
MobileSoft
Published: 2018 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
IJCAI
Published: 2017 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 to that end.
GameSec
Published: 2017 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
Published: 2017 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 to that end.
HVC
Published: 2017 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. Can machine learning be used to automatically test them?
ECAI
Published: 2016 By: Ariel Rosenfeld, Sarit Kraus,
Automated agents should be able to persuade people in the same way people persuade each other-via dialogs. Here is the first attempt to do so.
Published: 2016 By: Federico Cerutti, Alexis Palmer, Ariel Rosenfeld, 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.
ECAI
Published: 2016 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
AAAI
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…
IJCAI
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 can be hard…
AI Magazine
Published: 2015 By: Amos Azaria, Ariel Rosenfeld, Sarit Kraus, Claudia V Goldman, Omer Tsimhoni
AI for saving energy in automobile climate control system.
AAMAS
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 consume a lot…