Yann-Aël Le Borgne
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #20,199 of 35,345 by trust here, #23,731 by citations
- Information Systems — 15 citations into it
- Statistics and Probability — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Management Science and Operations Research — 6 citations into it; #9,728 of 11,946 by trust here, #8,062 by citations
Whom Yann-Aël Le Borgne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nitesh V. Chawla
- William W. Cohen
- Trevor J. Hastie
- Nathalie Japkowicz
- Wei-Yin Loh
- Andreas S. Weigend
- Paul J. Werbos
- J. De Gooijer
- William N. Venables
- Richard J. Bolton
Who trusts Yann-Aël Le Borgne overall
Papers from Yann-Aël Le Borgne's perspective
Ordered by how strongly the researchers Yann-Aël Le Borgne trusts endorse each paper. Same corpus, a different order for every researcher.
- C4.5: Programs for Machine Learning
- Fast Effective Rule Induction
- SMOTE: Synthetic Minority Over-sampling Technique
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
- The Foundations of Cost-Sensitive Learning
- The CN2 Induction Algorithm
- Learning in the Presence of Concept Drift and Hidden Contexts
- Locally Weighted Learning
- Generalization of backpropagation with application to a recurrent gas market model
Their papers
- Machine Learning Strategies for Time Series Forecasting (2012) — 545 citations
- Combining unsupervised and supervised learning in credit card fraud detection (2019) — 452 citations
- Learned lessons in credit card fraud detection from a practitioner perspective (2014) — 537 citations