Said Benaissa

Applied Animal Behaviour Science · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Said Benaissa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Miroslav Kubat

Papers from Said Benaissa's perspective

Ordered by how strongly the researchers Said Benaissa trusts endorse each paper. Same corpus, a different order for every researcher.

1. A new method to measure behavioural activity levels in dairy cows
2. Pattern Recognition and Machine Learning
3. An Introduction to Machine Learning
4. Classification and regression trees
5. The Nature of Statistical Learning Theory
6. Adaptive Mixtures of Local Experts
7. The Condensed Nearest Neighbor Rule
8. Classification and regression trees
9. Experiments with a New Boosting Algorithm
10. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

Their papers

• Classification of ingestive-related cow behaviours using RumiWatch halter and neck-mounted accelerometers (2019) — 90 citations