Takaya Saito
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #8,749 of 35,345 by trust here, #11,327 by citations
- Molecular Biology — 8 citations into it
- Evaluation & Benchmarks — 6 citations into it; #969 of 3,147 by trust here, #1,532 by citations
- Information Systems — 5 citations into it; #1,522 of 8,771 by trust here, #1,707 by citations
Whom Takaya Saito trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles Peter Elkan
- Tom Fawcett
- Joel Hirschhorn
- Patrick E. Meyer
- Mark J. Daly
- Foster J. Provost
- Frédéric Lafitte
- Robert Gentleman
- Nathalie Japkowicz
- Nitesh V. Chawla
Who trusts Takaya Saito overall
- Dan Hendrycks
- Kevin Gimpel
- Isak Johansson-Åkhe
- Alexandr A Kalinin
- Daniel M. Low
- Davide Chicco
- Byunghan Lee
- Yang Zou
- Qianmu Yuan
- Björn Wallner
Papers from Takaya Saito's perspective
Ordered by how strongly the researchers Takaya Saito trusts endorse each paper. Same corpus, a different order for every researcher.
- The Foundations of Cost-Sensitive Learning
- An introduction to ROC analysis
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- Editorial: special issue on learning from imbalanced data sets
- Measuring the accuracy of diagnostic systems.
- Machine Learning from Imbalanced Data Sets 101
- A Multiple Resampling Method for Learning from Imbalanced Data Sets (International Conference on Climate Informatics)
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
- minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information (BMC Bioinformatics)
- Genome-wide association studies for common diseases and complex traits (Nature reviews genetics)