Luc Martens

IEEE Transactions on Information Technology in Biomedicine · 2008–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Luc Martens trusts

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

1. Miroslav Kubat (in Artificial Intelligence)
2. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Luc Martens's perspective

Ordered by how strongly the researchers Luc Martens 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. Classification and regression trees
6. Adaptive Mixtures of Local Experts
7. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
8. Experiments with a New Boosting Algorithm
9. Induction of decision trees
10. The Condensed Nearest Neighbor Rule

Their papers

• Characterization of On-Body Communication Channel and Energy Efficient Topology Design for Wireless Body Area Networks (2009) — 305 citations
• The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz (2008) — 320 citations
• Classification of ingestive-related cow behaviours using RumiWatch halter and neck-mounted accelerometers (2019) — 90 citations