4 citations · 8 across the 5 of their papers we have counts for
5 papers
Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data
Jennifer Magana, Dinu Gavojdian, Yakir Menachem +3
The aim of this study was to employ machine learning algorithms based on sensor behavior data for (1) early-onset detection of digital dermatitis (DD); and (2) DD prediction in dai…
Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine
Nareed Farhat, Teddy Lazebnik, Joke Monteny +4
The assessment of behavioral traits in dogs is a well-studied challenge due to its many practical applications such as selection for breeding, prediction of working aptitude, chanc…
BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States
Dinu Gavojdian, Teddy Lazebnik, Madalina Mincu +3
There is a critical need to develop and validate non-invasive animal-based indicators of affective states in livestock species, in order to integrate them into on-farm assessment p…
A Computational Model For Individual Scholars' Writing Style Dynamics
Teddy Lazebnik, Ariel Rosenfeld
A manuscript's writing style is central in determining its readership, influence, and impact. Past research has shown that, in many cases, scholars present a unique writing style t…
Rivendell: Project-Based Academic Search Engine
Teddy Lazebnik, Hanna Weitman, Yoav Goldberg +1
Finding relevant research literature in online databases is a familiar challenge to all researchers. General search approaches trying to tackle this challenge fall into two groups:…