Felix Last

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #28,225 of 35,345 by trust here, #30,347 by citations
• Electrical and Electronic Engineering — 6 citations into it; #11,584 of 16,539 by trust here, #14,379 by citations

Whom Felix Last trusts overall

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

1. Nitesh V. Chawla
2. Foster J. Provost
3. Jaka Demsar
4. David Sculley
5. Taeho C. Jo
6. David A. Cieslak
7. Nathalie Japkowicz
8. Haibo He
9. Chumphol Bunkhumpornpat
10. Guillaume Lemaitre

Who trusts Felix Last overall

1. Azal Ahmad Khan
2. Omkar Chaudhari

Papers from Felix Last's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. MetaCost: a general method for making classifiers cost-sensitive
3. Statistical Comparisons of Classifiers over Multiple Data Sets
4. Class imbalances versus small disjuncts (SKDD)
5. Editorial: special issue on learning from imbalanced data sets
6. Fast Effective Rule Induction
7. A study of the behavior of several methods for balancing machine learning training data
8. The Nature of Statistical Learning Theory
9. Robust Classification for Imprecise Environments
10. Experiments with a New Boosting Algorithm

Their papers

• Oversampling for Imbalanced Learning Based on K-Means and SMOTE (2017) — 940 citations