Serge Waterschoot

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #23,337 of 35,345 by trust here, #25,040 by citations
• Information Systems — 8 citations into it

Whom Serge Waterschoot trusts overall

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

1. Nitesh V. Chawla
2. William W. Cohen
3. Wei-Yin Loh
4. Nathalie Japkowicz

Who trusts Serge Waterschoot overall

1. Andrea Dal Pozzolo
2. Sergey I. Nikolenko

Papers from Serge Waterschoot's perspective

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

1. C4.5: Programs for Machine Learning
2. Fast Effective Rule Induction
3. SMOTE: Synthetic Minority Over-sampling Technique
4. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
5. The CN2 Induction Algorithm
6. The Foundations of Cost-Sensitive Learning
7. Learning in the Presence of Concept Drift and Hidden Contexts
8. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
9. Learning Decision Trees for Unbalanced Data
10. Dynamic weighted majority: a new ensemble method for tracking concept drift (Third IEEE International Conference on Data Mining)

Their papers

• Learned lessons in credit card fraud detection from a practitioner perspective (2014) — 537 citations