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P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning

Yolanda Gil, Ke-Thia Yao, Varun Ratnakar, Daniel Garijo, Greg Ver Steeg, Pedro Szekely, Rob Brekelmans, Mayank Kejriwal, Fanghao Luo, I-Hui Huang

PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows

Ken Cheong, Daniel Garijo, William K. Cheung, Yolanda Gil

Semantic Software Metadata for Workflow Exploration and Evolution

Lucas Carvalho, Daniel Garijo, Claudia Bauzer Medeiros, Yolanda Gil

Towards Model Integration via Abductive Workflow Composition and Multi-Method Scalable Model Execution

Rafael Ferreira da Silva, Daniel Garijo, Scott D. Peckham, Yolanda Gil, Ewa Deelman, Varun Ratnakar

A Controlled Crowdsourcing Approach to Scientific Ontology Development and Data Annotation

Yolanda Gil, Daniel Garijo, Varun Ratnakar, Deborah Khider, Julien Emile-Geay, Nicholas McKay

Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions

Yolanda Gil, Daniel Garijo, Margaret Knoblock, Alyssa Deng, Ravali Adusumilli, Varun Ratnakar, Parag Mallick

NiW: Converting Notebooks into Workflows to Capture Dataflow and Provenance

Lucas A. M. C. Carvalho, Regina Wang, Yolanda Gil, Daniel Garijo

Requirements for Supporting the Iterative Exploration of Scientific Workflow Variants

Lucas A. M. C. Carvalho, Bakinam T. Essawy, Daniel Garijo, Claudia Bauzer Medeiros, Yolanda Gil

The DISK Hypothesis Ontology: Capturing Hypothesis Evolution for Automated Discovery

Daniel Garijo, Yolanda Gil, Varun Ratnakar