Jason H. Moore

Identifiers

• name variant Jason H. Moore 0.60 · backfill

Papers (23)

1. Semantic variation operators for multidimensional genetic programming cs.NE · 2019 · author #2
2. Interpretation of machine learning predictions for patient outcomes in electronic health records cs.CY · 2019 · author #3
3. Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients stat.AP · 2019 · author #6
4. Learning concise representations for regression by evolving networks of trees cs.NE · 2018 · author #5
5. Where are we now? A large benchmark study of recent symbolic regression methods cs.NE · 2018 · author #3
6. EBIC: an evolutionary-based parallel biclustering algorithm for pattern discover cs.LG · 2018 · author #4
7. Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining cs.LG · 2017 · author #5
8. Relief-Based Feature Selection: Introduction and Review cs.DS · 2017 · author #5
9. Considerations of automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure q-bio.MN · 2017 · author #2
10. A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection cs.NE · 2017 · author #4
11. Data-driven Advice for Applying Machine Learning to Bioinformatics Problems q-bio.QM · 2017 · author #5
12. Investigating the Parameter Space of Evolutionary Algorithms cs.NE · 2017 · author #4
13. A System for Accessible Artificial Intelligence cs.AI · 2017 · author #10
14. Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods cs.NE · 2017 · author #2
15. PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison cs.LG · 2017 · author #5
16. Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming cs.NE · 2017 · author #3
17. Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool cs.NE · 2016 · author #2
18. Evolution of active categorical image classification via saccadic eye movement cs.CV · 2016 · author #2
19. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science cs.NE · 2016 · author #4
20. Exploring the coevolution of predator and prey morphology and behavior q-bio.PE · 2016 · author #4
21. Automating biomedical data science through tree-based pipeline optimization cs.LG · 2016 · author #6
22. Spectral gene set enrichment (SGSE) q-bio.QM · 2014 · author #3
23. Principal component gene set enrichment (PCGSE) q-bio.QM · 2014 · author #3

Mentions

• 1405.3241 #3 · backfill · confidence 0.70 Jason H. Moore
• 1403.5148 #3 · backfill · confidence 0.70 Jason H. Moore

Frequent Coauthors

• Randal S. Olson 12 shared papers
• William La Cava 9 shared papers
• Ryan J. Urbanowicz 6 shared papers
• Patryk Orzechowski 5 shared papers
• Moshe Sipper 3 shared papers
• Christoph Adami 2 shared papers
• H. Robert Frost 2 shared papers
• Melissa Meeker 2 shared papers
• Weixuan Fu 2 shared papers
• Zhigang Li 2 shared papers
• Akshay Varik 1 shared papers
• Alena Orlenko 1 shared papers
• Andrew Sohn 1 shared papers
• Arend Hintze 1 shared papers
• Christopher Bauer 1 shared papers
• Daniel S. Herman 1 shared papers
• Fred C. Dyer 1 shared papers
• Imran Ajmal 1 shared papers
• James Taggart 1 shared papers
• Jinbo Chen 1 shared papers