פרופ' רוזנפלד אבי

Lazebnik, T., Bunimovich-Mendrazitsky, S. & Rosenfeld, A. An algorithm to optimize explainability using feature ensembles. Appl Intell 54, 2248–2260 (2024).

Lazebnik,T. & Rosenfeld,A.(2023).FSPL: A Meta–Learning Approach for a Filter and Embedded Feature Selection Pipeline. International Journal of Applied Mathematics and Computer Science,33(1) 103-115.

Kai Man Alexander Ho, Avi Rosenfeld, Áine Hogan, Hazel McBain, Margaret Duku, Paul BD Wolfson, Ashley Wilson, Sharon MY Cheung, Laura Hennelly, Lester Macabodbod, David G Graham, Vinay Sehgal, Amitava Banerjee, Laurence B Lovat, Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patients,
Clinics and Research in Hepatology and Gastroenterology, Volume 47, Issue 3, 2023

Weitzman, R.; Calfon-Peretz, O.; Saha, T.; Bloch, N.; Ben Zaken, K.; Rosenfeld, A.; Amitay, M.; Samson, A.O. Resistance to Antimalarial Monotherapy Is Cyclic. J. Clin. Med. 2022, 11, 781.

Stone T, Ward V, Rosenfeld A, et alOFR-2 The SPIT study: creating a saliva based epigenetic biomarker panel to diagnose oesophgeal cancerGut 2021;70:A11.

Ho, K. M. A.; Rosenfeld, A.; Hogan, Á, McBain, H.; Duku, M.; Wolfson, P.; Wilson, A.; Graham, D. G.; Sehgal, V.; Lovat, L. B.. A symptom and risk factor questionnaire accurately predicts upper gastrointestinal cancer. United European Gastroenterology Journal ; 9(SUPPL 8):302, 2021.

Avi Rosenfeld, David G Graham, et al. Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach, The Lancet Digital Health, Volume 2, Issue 1, 2020, Pages e37-e48

Carmona Echeverria, L.M., Haider, A., Freeman, A. et al. A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists. Sci Rep 10, 17177 (2020).

A. Rosenfeld, Two Adaptive Communication Methods for Multi-Robot Collision Avoidance, accepted to Robotica 37:5, 851-867 (2019)

A. Rosenfeld, A. Richardson, Explainability in Human-Agent Systems, accepted to the Journal of Autonomous Agents and Multi-agent Systems JAAMAS, 33(6): 673-705 (2019)

Y. Hacohen-Kerner, A. Rosenfeld, A. Sabag, M. Tzidkani, Topic-based Classification through Unigram Unmasking, Procedia Computer Science, Volume 126, 2018, 69-76.

V. Sehgal, A. Rosenfeld, D. Graham, R. Bisschops, K. Ragunath, M. Rodriguez-Justo, 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,

Ioannis Katafigiotis, Itay M. Sabler, Eliyahu M. Heifetz, Avi Rosenfeld, Sfoungaristos Stavros, Amitay Lorber, Arie Latke, Vladimir Yutkin, Guy Hidas, Ezekiel H. Landau, Dov Pode, Ofer N. Gofrit, and Mordechai Duvdevani.Journal of Endourology.Sep 2018.825-830.

A. Rosenfeld, S. Sina, D. Sarne, O. Avidov, S. Kraus, A Data Mining Study of WhatsApp Usage Patterns and Prediction Models without Message Content, Demographic Research Journal, 39: 647-670 (2018)

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

S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Bid2Charge: Market User Interface Design for Electric Vehicle Charging, Journal of Artificial Intelligence Research (JAIR). 59: 175-227 (2017)

S. Stein, E. Gerding, A. Nedea, A. Rosenfeld, N. Jennings, Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge. IJCAI 2017, (Acceptance Rate 25%), 4939-4943

S. Barrett, A. Rosenfeld, S. Kraus, and P. Stone, Making Friends on the Fly: Cooperating with New Teammates, Artificial Intelligence Journal (AIJ). 242: 132-171 (2017)