Dr. Yehezkel Resheff
Short Interest:
Machine Learning Approach to Analysis of Biologger Data in Movement Ecology
Interest:
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.
Role:
Alumni
Years:
2013-2017
Email(s):
Fax:
+972-(0)2-6586080
Address:
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel
Publications
Resheff Y.S., Rotics S., Harel R., Spiegel O. & R. Nathan, (2014) AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements | Movement Ecology 25 : 2