Joaquín Derrac

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #6,791 of 35,345 by trust here, #6,266 by citations
• Statistics and Probability — 20 citations into it
• Information Systems — 17 citations into it; #4,605 of 8,771 by trust here, #7,997 by citations
• Computational Theory and Mathematics — 10 citations into it; #2,074 of 12,182 by trust here, #872 by citations
• Evaluation & Benchmarks — 9 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Joaquín Derrac trusts overall

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

1. Salvador Garcia
2. Jaka Demsar
3. Francisco Herrera
4. Thomas M. Cover
5. Jianjun Li
6. Stergios B. Fotopoulos
7. Alberto Fernández
8. David William Aha
9. Gregory Shakhnarovich
10. Fred W. Glover

Who trusts Joaquín Derrac overall

1. Pinar Çivicioglu
2. Seyedali Mirjalili
3. Ali Asghar Heidari
4. Seyed Mohammad Mirjalili
5. Octavio Loyola-González
6. Handing Wang
7. Yaochu Jin
8. Riccardo Guidotti
9. Ran Cheng
10. Juliano Pierezan

Papers from Joaquín Derrac's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Nearest neighbor pattern classification
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (2011) — 5,200 citations
• Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study (2012) — 721 citations
• KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework (2011) — 2,449 citations
• A Survey on Evolutionary Instance Selection and Generation (2010) — 75 citations