Lee Spector

Artificial Intelligence · 2002–2019

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #12,075 of 35,345 by trust here, #20,377 by citations
• Software — 9 citations into it
• Code Generation & Program Synthesis — 7 citations into it; #110 of 220 by trust here, #185 by citations
• Genetics — 7 citations into it; #2,042 of 6,854 by trust here, #4,626 by citations
• Information Systems — 7 citations into it
• Natural Language Processing — 7 citations into it; #3,302 of 5,688 by trust here, #5,214 by citations
• Computer Networks and Communications — 5 citations into it

Whom Lee Spector trusts overall

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

1. John R. Koza
2. Wolfgang Banzhaf
3. Thomas Helmuth
4. Sumit Gulwani
5. Alexander L. Gaunt
6. Stephen Kelly
7. Alan J. Robinson
8. Mark Harman
9. Edward R. Pantridge
10. Dennis G. Wilson

Who trusts Lee Spector overall

1. Thomas Helmuth
2. Thomas Weise
3. Edward R. Pantridge
4. Michael O'Neill
5. Nicholas Freitag McPhee
6. Mark Chen

Papers from Lee Spector's perspective

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

1. Genetic Programming: On the Programming of Computers by Means of Natural Selection
2. TerpreT: A Probabilistic Programming Language for Program Induction
3. Spreadsheet data manipulation using examples
4. Some Studies in Machine Learning Using the Game of Checkers
5. DeepCoder: Learning to Write Programs
6. Evolving Neural Networks through Augmenting Topologies
7. BEAGLE—A DARWINIAN APPROACH TO PATTERN RECOGNITION
8. A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each
9. Genetic programming III: Darwinian invention and problem solving [Book Review]
10. Genetic Programming: An Introduction

Their papers

• General Program Synthesis Benchmark Suite (2015) — 174 citations
• On the difficulty of benchmarking inductive program synthesis methods (2017) — 20 citations
• Program synthesis using uniform mutation by addition and deletion (2018) — 65 citations
• Open-Ended Evolution: Perspectives from the OEE Workshop in York (2016) — 140 citations
• Automatic programming: The open issue? (2019) — 26 citations
• Genetic programming for finite algebras (2008) — 70 citations
• Genetic Programming and Autoconstructive Evolution with the Push Programming Language (2002) — 303 citations