Pedro Larrañaga

Artificial Intelligence · 2002–2015

A researcher in the Science corpus: 9 papers; trusts 32 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #10,927 of 35,345 by trust here, #9,465 by citations
• Molecular Biology — 51 citations into it; #1,404 of 17,773 by trust here, #4,167 by citations
• Information Systems — 12 citations into it
• Genetics — 11 citations into it
• Statistical Learning Theory — 10 citations into it
• Statistics and Probability — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Pedro Larrañaga trusts overall

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

1. Ron Kohavi
2. J. Ross Quinlan
3. Kalyanmoy Deb
4. Mark A. Hall
5. Leo Breiman
6. David E. Goldberg
7. John H. Holland
8. Jerome H. Friedman
9. Thomas G. Dietterich
10. Peter Clark

Who trusts Pedro Larrañaga overall

1. Shimon Whiteson
2. Julia Handl
3. Aimin Zhou
4. Kavitesh Kumar Bali
5. José Antonio Lozano
6. Marc-André Zöller
7. Jiliang Tang
8. Bernd Meyer
9. Marinka Zitnik
10. Yaochu Jin

Papers from Pedro Larrañaga's perspective

Ordered by how strongly the researchers Pedro Larrañaga 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Information Theory: 1948-1998 - Guest Editorial
10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers

• Estimation of Distribution Algorithms (2002) — 835 citations
• A survey on multi‐output regression (2015) — 638 citations
• A review of feature selection techniques in bioinformatics (2007) — 4,429 citations
• New insights into the classification and nomenclature of cortical GABAergic interneurons (2013) — 814 citations
• Filter versus wrapper gene selection approaches in DNA microarray domains (2004) — 454 citations
• Machine Learning in Bioinformatics (2008) — 813 citations
• Bayesian classification for the selection of in vitro human embryos using morphological and clinical data (2008) — 75 citations
• Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) (2006) — 372 citations
• Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms (2006) — 438 citations