Oscar Cordón
Artificial Intelligence · 2001–2019
A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #10,082 of 35,345 by trust here, #12,083 by citations
- Computational Theory and Mathematics — 25 citations into it; #6,452 of 12,182 by trust here, #7,142 by citations
- Statistics and Probability — 8 citations into it; #11,975 of 12,932 by trust here, #7,508 by citations
- Management Science and Operations Research — 6 citations into it
Whom Oscar Cordón trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francisco Herrera
- Serge Guillaume
- David E. Goldberg
- Hisao Ishibuchi
- Eckart Zitzler
- Kalyanmoy Deb
- John H. Holland
- Ludmila I. Kuncheva
- Ryszard S. Michalski
- Stephen F. Smith
Who trusts Oscar Cordón overall
- Francisco Herrera
- Richard Jensen
- Chia-Feng Juang
- Alberto Fernández
- Jesús Alcalá-Fdez
- Qiang Shen
- Chern Hong Lim
- Plamen Parvanov Angelov
- Jens Christian Hühn
- Eyke Hüllermeier
Papers from Oscar Cordón's perspective
Ordered by how strongly the researchers Oscar Cordón trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective optimization using evolutionary algorithms
- Genetic Algorithms in Search Optimization and Machine Learning
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Genetic Algorithms in Search
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- SPEA2: Improving the strength pareto evolutionary algorithm
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base (2001) — 314 citations
- A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP (2007) — 317 citations
- Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? (2019) — 189 citations
- Ten years of genetic fuzzy systems: current framework and new trends (2001) — 966 citations
- A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems (2011) — 366 citations
- Book Review: "Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases" by Oscar Cordon, Francisco Herrera, Frank Hoffmann and Luis Magdalena; World Scientific, Singapore, New Jersey, London, Hong Kong, 2001, 462pp., ISBN 981-02-4016-3 (2004) — 453 citations
- Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases (2002) — 557 citations