Alejandro Albizu

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Unsupervised Feature Learning

Restricted Boltzmann Machine

Statistical Model

Top Venues

Publications

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability. CoRR (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Loss for Deep Learning Calibration. CoRR (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. MICCAI (4) (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware loss for deep learning calibration. Softw. Impacts 15 (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation. CoRR (2022)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. MICCAI (5) (2022)