Elon Portugaly

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #22,962 of 35,345 by trust here, #6,229 by citations
• Management Science and Operations Research — 16 citations into it; #7,224 of 11,946 by trust here, #670 by citations
• Molecular Biology — 16 citations into it; #3,985 of 17,773 by trust here, #7,747 by citations
• Statistics and Probability — 15 citations into it
• Reinforcement Learning — 12 citations into it; #1,579 of 2,242 by trust here, #591 by citations
• Computational Biology & Bioinformatics — 11 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it; #787 of 1,525 by trust here, #648 by citations
• Spectroscopy — 6 citations into it; #304 of 1,674 by trust here, #625 by citations

Whom Elon Portugaly trusts overall

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

1. Patrik D'haeseleer
2. Stephen F. Altschul
3. William R. Pearson
4. Alexey G. Murzin
5. Liisa Holm
6. Martin Madera
7. Eric D. Scheeff
8. Richard Durbin
9. Steven E. Brenner
10. Baris E. Suzek

Who trusts Elon Portugaly overall

1. Jianlin Cheng
2. Stephen Nayfach
3. Johannes Söding
4. Sheng Wang

Papers from Elon Portugaly's perspective

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

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. Basic local alignment search tool.
3. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
4. The Pfam protein families database
5. Assessing sequence comparison methods with reliable structurally identified distant evolutionary relationships.
6. Reinforcement Learning: An Introduction
7. Hidden Markov models for detecting remote protein homologies
8. Pfam: clans, web tools and services
9. Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.
10. Some aspects of the sequential design of experiments

Their papers

• Counterfactual reasoning and learning systems: the example of computational advertising (2012) — 859 citations
• Hidden Markov model speed heuristic and iterative HMM search procedure (2010) — 1,249 citations
• Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space (2008) — 160 citations