Jesús Alcalá-Fdez
Artificial Intelligence · 2008–2011
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #22,631 of 35,345 by trust here, #11,921 by citations
- Information Systems — 18 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Algorithms & Complexity — 6 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Jesús Alcalá-Fdez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Salvador Garcia
- Francisco Herrera
- J. Ross Quinlan
- Jiawei Han
- Jaka Demsar
- Thomas G. Dietterich
- David E. Goldberg
- John H. Holland
- Hisao Ishibuchi
- Rakesh Agrawal
Who trusts Jesús Alcalá-Fdez overall
- Francisco Herrera
- Salvador Garcia
- Alberto Fernández
- Mikel Galar
- Victoria López
- Isaac Triguero
- Nafise Sadat Moosavi
- Sara Fotouhi
- Edurne Barrenechea Tartas
- Julián Luengo
Papers from Jesús Alcalá-Fdez's perspective
Ordered by how strongly the researchers Jesús Alcalá-Fdez trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Fast Algorithms for Mining Association Rules
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning (2011) — 384 citations
- KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework (2011) — 2,449 citations
- Learning weighted linguistic rules to control an autonomous robot (2009) — 417 citations
- KEEL: a software tool to assess evolutionary algorithms for data mining problems (2008) — 1,515 citations