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Yehezkel S Resheff

Showing results (1-10 of 9) with videos related to

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Scientific Reports|May 11, 2026
ADHD identification from real-life recorded videoAnton Gelashvili, Yehezkel S Resheff, Gaddi Blumrosen
Movement Ecology|February 25, 2015
AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurementsYehezkel S Resheff, Shay Rotics, Roi Harel, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|March 20, 2025
Workload distribution in wild Damaraland mole-rat groupsShay Rotics, Hanna M Bensch, Yehezkel S Resheff, et al.
Journal of General Internal Medicine|November 3, 2019
A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage ScoreMaximiliano Klug, Yiftach Barash, Sigalit Bechler, et al.
Current Zoology|March 2, 2018
Using accelerometry to compare costs of extended migration in an arctic herbivoreMitch D Weegman, Stuart Bearhop, Geoff M Hilton, et al.
Movement Ecology|June 10, 2024
How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement dataYehezkel S Resheff, Hanna M Bensch, Markus Zöttl, et al.
Proceedings. Biological Sciences|January 12, 2021
Early-life behaviour predicts first-year survival in a long-distance avian migrantShay Rotics, Sondra Turjeman, Michael Kaatz, et al.
Neuroradiology|October 11, 2019
Promoting head CT exams in the emergency department triage using a machine learning modelEyal Klang, Yiftach Barash, Shelly Soffer, et al.
The Journal of Animal Ecology|April 6, 2016
The challenges of the first migration: movement and behaviour of juvenile vs. adult white storks with insights regarding juvenile mortalityShay Rotics, Michael Kaatz, Yehezkel S Resheff, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 11, 2026
ADHD identification from real-life recorded videoAnton Gelashvili, Yehezkel S Resheff, Gaddi Blumrosen
Movement Ecology|February 25, 2015
AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurementsYehezkel S Resheff, Shay Rotics, Roi Harel, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|March 20, 2025
Workload distribution in wild Damaraland mole-rat groupsShay Rotics, Hanna M Bensch, Yehezkel S Resheff, et al.
Journal of General Internal Medicine|November 3, 2019
A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage ScoreMaximiliano Klug, Yiftach Barash, Sigalit Bechler, et al.
Current Zoology|March 2, 2018
Using accelerometry to compare costs of extended migration in an arctic herbivoreMitch D Weegman, Stuart Bearhop, Geoff M Hilton, et al.
Movement Ecology|June 10, 2024
How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement dataYehezkel S Resheff, Hanna M Bensch, Markus Zöttl, et al.
Proceedings. Biological Sciences|January 12, 2021
Early-life behaviour predicts first-year survival in a long-distance avian migrantShay Rotics, Sondra Turjeman, Michael Kaatz, et al.
Neuroradiology|October 11, 2019
Promoting head CT exams in the emergency department triage using a machine learning modelEyal Klang, Yiftach Barash, Shelly Soffer, et al.
The Journal of Animal Ecology|April 6, 2016
The challenges of the first migration: movement and behaviour of juvenile vs. adult white storks with insights regarding juvenile mortalityShay Rotics, Michael Kaatz, Yehezkel S Resheff, et al.
Pageof 1