82 Prof. Rosenfeld Avi Telephone: 02-6751014 Cell phone: 0526731049 Email: rosenfa@jct.ac.il Website: www.jct.ac.il/~rosenfa Google Scholar: http://scholar.google.co.il/citations?user=-cHvrVgAAAAJ&hl Research generally focuses on data science and artificial intelligence research, and specifically how to reason through machine learning and data mining algorithms to build more accurate models. The research has created theoretical and practical applications for problems such as data science algorithms, robotic coordination, peer to peer full-text search, human-computer interactions, scheduling and constraint satisfaction and optimization, communication protocols, scalability issues and medical data analysis. Books, Book Sections 1. Y. Hacohen-Kerner, A. Rosenfeld, A. Sabag, M. Tzidkani, Topic-based Classification through Unigram Unmasking, Procedia Computer Science, Volume 126, 2018, 69-76. Peer-Reviewed Papers in Refereed Journals 1. S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Bid2 Charge: Market User Interface Design for Electric Vehicle Charging, Journal of Artificial Intelligence Research (JAIR). 59: 175-227 (2017). 2. S. Barrett, A. Rosenfeld, S. Kraus, and P. Stone, Making Friends on the Fly: Cooperating with New Teammates, Artificial Intelligence Journal (AIJ). 242: 132171 (2017). 3. A. Rosenfeld, R. Illuz, D. Gottesman, M. Last, Using Discretization for Extending the Set of Predictive Features, EURASIP Journal on Advances in Signal Processing. 2018:7. 4. A. Rosenfeld, S. Sina, D. Sarne, O. Avidov, S. Kraus, A Data Mining Study of WhatsApp Usage Patterns and Prediction Models without Message Content, accepted to Demographic Research Journal, 39: 647-670 (2018). 5. I. Κatafigiotis, I. Sabler, E. Heifetz, A. Rosenfeld, S. Sfoungaristo, A. Lorber, A. Latke, V. Yutkin, G. Hidas, E. Landau, D. Pode, O. Gofrit and M. Duvdevani, "Stone-less" or Negative Ureteroscopy. A reality in the Endourologic routine or avoidable source of frustration? Estimating the risk Factors for a Negative Ureteroscopy, Journal of Endourology, 32:9, pages 825-830, 2018. 6. V. Sehgal, A. Rosenfeld, D. Graham, R. Bisschops, K. Ragunath, M. RodriguezJusto, M. Novelli, M. Banks, R. Haidry, G. Lipman and L. Lovat, Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus Amongst Non-Expert Endoscopists, Gastroenterology Research and Practice:(1):1-9, 2018. 7. A. Rosenfeld, A. Richardson, Explainability in Human-Agent Systems, accepted to the Journal of Autonomous Agents and Multi-agent Systems JAAMAS, 33(6): 673705 (2019) 8. A. Rosenfeld, Two Adaptive Communication Methods for Multi-Robot Collision Avoidance, accepted to Robotica 37:5, 851-867 (2019) (Q2, Impact Factor 1.177).
RkJQdWJsaXNoZXIy MjgzNzA=