Deep Learning Techniques for Decoding Animal Movement Data

Explore deep learning techniques for decoding animal movement data in this 49-minute seminar presentation by Mr. Francis Felici from Universidad del Comahue - CONICET, delivered as part of the Mathematics of Movement series focusing on interdisciplinary challenges in animal ecology and cell biology. Gain insights into innovative approaches for analyzing and interpreting animal movement patterns through advanced machine learning methods, bridging the gap between mathematical modeling and biological observations.