Rafael Alcalá

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #29,406 of 35,345 by trust here, #23,731 by citations
• Computational Theory and Mathematics — 17 citations into it
• Information Systems — 9 citations into it
• Algorithms & Complexity — 6 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Rafael Alcalá trusts overall

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

1. Francisco Herrera
2. Hisao Ishibuchi
3. J. Ross Quinlan
4. Jiawei Han
5. Salvador Garcia
6. Jaka Demsar
7. David E. Goldberg
8. John H. Holland
9. Serge Guillaume
10. Rakesh Agrawal

Who trusts Rafael Alcalá overall

1. Tong Wang
2. Davinder Kaur
3. Thibault Laugel

Papers from Rafael Alcalá's perspective

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

1. Fast Algorithms for Mining Association Rules
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
6. Integrating Classification and Association Rule Mining
7. A fast and elitist multiobjective genetic algorithm: NSGA-II
8. ImageNet classification with deep convolutional neural networks
9. Effect of rule weights in fuzzy rule-based classification systems (Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063))
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures (2011) — 547 citations
• A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning (2011) — 384 citations
• Learning weighted linguistic rules to control an autonomous robot (2009) — 417 citations