Emergency Department Online Patient-Caregiver Scheduling arielrosenfeld.comHannan Rosemarin, Ariel Rosenfeld and Sarit Kraus; Emergency Department Online Patient-Caregiver Scheduling, AAAI 2019 [16% acceptance rate]. PDF Emergency Department Online Patient-Caregiver Scheduling >> 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 the right caregiver at the right time. Unfortunately, common ED scheduling practices are based on ad-hoc heuristics which may not be aligned with the complex and partially conflicting ED’s objectives. In this paper, we propose a novel online deep-learning scheduling approach for the automatic assignment and scheduling of medical personnel to arriving patients. Our approach allows for…

Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search 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]. PDF Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search >> Artificial intelligence (AI) techniques, including, e.g., machine learning, multi-agent collaboration, planning, and heuristic search, are emerging as ever-stronger tools for solving hard problems in real-world applications. Executable specification techniques (ES), including, e.g., Statecharts and scenario-based programming, is a promising development approach, offering intuitiveness, ease of enhancement, compositionality, and amenability to formal analysis. We propose an…

Providing Explanations for Recommendations in Reciprocal Environments Akiva Kleinerman, Ariel Rosenfeld and Sarit Kraus; Providing Explanations for Automated Advice in Reciprocal Environments, RecSys 2018 [17.7% acceptance rate]. PDF Providing Explanations for Recommendations in Reciprocal Environments >> Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, are becoming increasingly popular. These platforms often include recommender systems that assist users in finding a suitable match. While recommender systems which provide explanations for their recommendations have shown many benefits, explanation methods have yet to be adapted and tested in recommending suitable matches. In this paper, we introduce and extensively evaluate the use of “reciprocal explanations”…

Optimally Balancing Receiver and Recommended Users’ Importance in Reciprocal Recommender Systems Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci and Sarit Kraus; Optimizing Interactions in Reciprocal Recommender Systems, RecSys 2018 [17.7% acceptance rate]. PDF Optimally Balancing Receiver and Recommended Users’ Importance in Reciprocal Recommender Systems >> Online platforms which assist people in finding a suitable partner or match, such as online dating and job recruiting environments, have become increasingly popular in the last decade. Many of these platforms include recommender systems which aim at helping users discover other people who will also be interested in them. These recommender systems benefit from contemplating the interest of both sides of the recommended match, however the question…

Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health 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 Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health >> 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 and prognosis prediction in mental health, starting with depression. Globally,…

Leveraging human knowledge in tabular reinforcement learning: A study of human subjects 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). PDF Leveraging human knowledge in tabular reinforcement learning: A study of human subjects >> Reinforcement Learning (RL) can be extremely effective in solving complex, real-world problems. However, injecting human knowledge into an RL agent may require extensive effort and expertise on the human designer's part. To date, human factors are generally not considered in the development and evaluation of possible RL approaches. In this article, we set out to investigate how different methods for injecting…

Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation Ariel Rosenfeld, Oleg Maksimov and Sarit Kraus; Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, IJCAI 2018 [20% acceptance rate]. PDF Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation >> 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 battery/fuel capacity and have to be replenished during long operations. In this paper, we propose a novel approach where police cruisers act as mobile replenishment providers in addition to their traffic enforcement duties. We propose a binary integer linear program for determining the optimal rendezvous cruiser-drone enforcement policy which guarantees that all…

Automation of Android Applications Functional Testing Using Machine Learning Activities Classification Ariel Rosenfeld, Odaya Kardashov and Orel Zang; Automation of Android Applications Functional Testing Using Machine Learning Activities Classification, MobileSoft 2018 [44% acceptance rate]. PDF Automation of Android Applications Functional Testing Using Machine Learning Activities Classification >> Following the ever-growing demand for mobile applications, researchers are constantly developing new test automation solutions for mobile developers. However, researchers have yet to produce an automated functional testing approach, resulting in many developers relying on a resource consuming manual testing. In this paper, we present a novel approach for the automation of functional testing in mobile software by leveraging machine learning techniques and reusing generic…

Automated Agents for Advice Provision (PhD Thesis) Ariel Rosenfeld; Automated Agents for Advice Provision (PhD Thesis). PDF Automated Agents for Advice Provision (PhD Thesis) >> When facing complex decisions, people have been shown to seek advice in order to improve their sub-optimal decision-making process. Advice-seeking and advice-provision is a fundamental practice in making real-world decisions. However, while automated systems are becoming increasingly prevalent in everyday life, the question of how an automated agent should provide advice to a human user in order to enhance the user’s performance remains an open challenge. This thesis studies the possibility of deploying intelligent automated agents to support and assist people in complex tasks and decisions through…

ACAT: A Novel Machine-Learning-Based Tool for Automating Android Application Testing 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 ACAT: A Novel Machine-Learning-Based Tool for Automating Android Application Testing >> 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 of these applications, the need arises for efficient techniques to test them. Many frameworks allow automating the process of application testing, however existing frameworks mainly rely on the application developer for providing testing scripts for each developed application,…