José Francisco Martínez Trinidad
Artificial Intelligence · 2010–2016
A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #12,452 of 35,345 by trust here, #14,181 by citations
- Evaluation & Benchmarks — 12 citations into it; #2,701 of 3,147 by trust here, #2,482 by citations
- Information Systems — 10 citations into it; #4,436 of 8,771 by trust here, #3,315 by citations
- Electrical and Electronic Engineering — 8 citations into it; #14,285 of 16,539 by trust here, #13,165 by citations
- Statistical Learning Theory — 8 citations into it; #998 of 1,038 by trust here, #730 by citations
- Optimization & Training — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it; #10,151 of 12,182 by trust here, #11,462 by citations
- Statistics and Probability — 6 citations into it
Whom José Francisco Martínez Trinidad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jaka Demsar
- J. Ross Quinlan
- Thomas G. Dietterich
- Tin Kam Ho
- Jin Huang
- Jorma Laurikkala
- Usama M. Fayyad
- Corinna Cortes
- Salvador Garcia
- Nitesh V. Chawla
Who trusts José Francisco Martínez Trinidad overall
Papers from José Francisco Martínez Trinidad's perspective
Ordered by how strongly the researchers José Francisco Martínez Trinidad trusts endorse each paper. Same corpus, a different order for every researcher.
- UCI Repository of machine learning databases
- The Nature of Statistical Learning Theory
- Programs for Machine Learning
- SMOTE: Synthetic Minority Over-sampling Technique
- Nearest neighbor pattern classification
- A study of the behavior of several methods for balancing machine learning training data
- The Condensed Nearest Neighbor Rule
- Support-Vector Networks
- Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
- Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Their papers
- A review of instance selection methods (2010) — 401 citations
- Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases (2016) — 173 citations
- Fuzzy emerging patterns for classifying hard domains (2011) — 39 citations
- Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2016) — 3 citations
- Finding the best diversity generation procedures for mining contrast patterns (2015) — 31 citations
- A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification (2010) — 18 citations