Kevin L. Coakley

According to our database, Kevin L. Coakley authored at least 6 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning to be Reproducible: Custom Loss Design for Robust Neural Networks.

Waqas Ahmed, Sheeba Samuel, Kevin L. Coakley, Birgitta König-Ries, Odd Erik Gundersen

CoRR, January, 2026

2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).

Christine R. Kirkpatrick, Kevin L. Coakley, Julianne Christopher, Inês Dutra

Data Sci. J., January, 2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).

Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher, Inês Dutra

CoRR, 2023

2022

Sources of Irreproducibility in Machine Learning: A Review.

Odd Erik Gundersen, Kevin L. Coakley, Christine R. Kirkpatrick

CoRR, 2022

Examining the Effect of Implementation Factors on Deep Learning Reproducibility.

Kevin L. Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2016

Analytics-driven data ingestion and derivation in the AWESOME polystore.

Subhasis Dasgupta, Kevin L. Coakley, Amarnath Gupta

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016