Yehezkel Resheff

Yehezkel Resheff's picture
Short Interest
Machine Learning Approach to Analysis of Biologger Data in Movement Ecology
PhD Student
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel
As data becomes increasingly abundant in the field or Movement Ecology, we face the need for new tools and methods for managing, processing and analyzing it. This era of “big data” presents new challenges on the one hand, but is believed to have the capacity to lead us to unparalleled insight and discovery. My work focuses on adapting and creating tools from the field of machine learning in computer science, for the analysis of bio-logger movement data.


Shay Rotics, , Yehezkel Resheff, , Sondra Turjeman, , Nir Sapir, , Ran Nathan, M. Kaatz, , D. Zurell, , U. Eggers, , A. Flack, W. Fiedler, F. Jeltsch, M. Wikelski, (2016) The challenges of the first migration: movement and behavior of juvenile versus adult white storks with insights regarding juvenile mortality. | Journal of Animal Ecology 938–947 : 85
Yehezkel Resheff, , Shay Rotics, , Ran Nathan, D. Weinshall, (2016) Topic modeling of behavioral modes using sensor data | International Journal of Data Science and Analytics 51-60 : 1
Yehezkel Resheff, , Shay Rotics, , Ran Nathan, D. Weinshall, (2015) Matrix factorization approach to behavioral mode analysis from acceleration data | IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA), Paris 1-6
Yehezkel Resheff, , Shay Rotics, , Roi Harel, , Orr Spiegel, , Ran Nathan, (2014) AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements | Movement Ecology 25 : 2