M. Giselle Fernández-Godino

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Weakly Supervised

Feature Extractors

Spatial Patterns

Machine Learning

Top Venues

Publications

Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning. CoRR (2024)
M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns. CoRR (2022)
Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications. CoRR (2021)
Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR (2020)
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design. CoRR (2020)
Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR (2020)
Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning. CoRR (2020)