Yolanda Gil

University of Southern California, Los Angeles, CA, United States 
Computer Science
"Yolanda Gil"
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Srivastava A, Adusumilli R, Boyce H, et al. (2019) Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 208-219
Gil Y, Srivastava B, Chen C, et al. (2019) Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil Ai Magazine. 40: 6-8
Gundersen OE, Gil Y, Aha DW. (2018) On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications Ai Magazine. 39: 56-68
Garijo D, Gil Y, Corcho O. (2017) Abstract, link, publish, exploit: An end to end framework for workflow sharing Future Generation Computer Systems. 75: 271-283
Sethi RJ, Gil Y. (2017) Scientific workflows in data analysis: Bridging expertise across multiple domains Future Generation Computer Systems. 75: 256-270
Essawy BT, Goodall JL, Xu H, et al. (2017) Evaluation of the OntoSoft Ontology for describing metadata for legacy hydrologic modeling software Environmental Modelling & Software. 92: 317-329
Stodden V, McNutt M, Bailey DH, et al. (2016) Enhancing reproducibility for computational methods. Science (New York, N.Y.). 354: 1240-1241
David CH, Gil Y, Duffy CJ, et al. (2016) An introduction to the special issue on Geoscience Papers of the Future Earth and Space Science. 3: 441-444
Gil Y, David CH, Demir I, et al. (2016) Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance Earth and Space Science. 3: 388-415
Zheng CL, Ratnakar V, Gil Y, et al. (2015) Use of semantic workflows to enhance transparency and reproducibility in clinical omics. Genome Medicine. 7: 73
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