Daniel Kerrigan
PhD Student, Computer Science Web Co-Guru
Research focus: Visualization and HCI for the development, evaluation, and use of machine learning models
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Publications

2024
Thumbnail image for publication titled: Measuring Wake Deflection from SCADA Data during Wake Steering Using Machine Learning
Measuring Wake Deflection from SCADA Data during Wake Steering Using Machine Learning

Nathan Post, Cheng Zheng, Daniel Kerrigan, Enrico Bertini, and Melanie Tory. Journal of Physics: Conference Series. 2024.

DOI | BibTeX

Thumbnail image for publication titled: Towards a Visual Perception-Based Analysis of Clustering Quality Metrics
Towards a Visual Perception-Based Analysis of Clustering Quality Metrics

Graziano Blasilli, Daniel Kerrigan, Enrico Bertini, and Giuseppe Santucci. IEEE Visualization in Data Science (VDS). 2024.

DOI | Code | BibTeX

2023
Thumbnail image for publication titled: SliceLens: guided exploration of machine learning datasets
SliceLens: guided exploration of machine learning datasets

Daniel Kerrigan and Enrico Bertini. Proceedings of the Workshop on Human-In-the-Loop Data Analytics. 2023.

PDF | Preprint | DOI | Code | BibTeX

2021
Thumbnail image for publication titled: A survey of domain knowledge elicitation in applied machine learning
A survey of domain knowledge elicitation in applied machine learning

Daniel Kerrigan, Jessica Hullman, and Enrico Bertini. Multimodal Technologies and Interaction. 2021.

PDF | DOI | Supplement | BibTeX

Khoury Vis Lab — Northeastern University
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