iWeisskohl
Machine learning, belief function theory, medical data analysis.
National University of Singapore| Université de technologie de Compiègne
Pinned Repositories
Evidence-fusion-with-contextual-discounting
Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"
Evidential-neural-network-for-lymphoma-segmentation
Code for paper "Lymphoma segmentation from 3D PET-CT images using a deep evidential network"
calibration
Python package for evaluating model calibration in classification
Deep-evidential-fusion
iWeisskohl
Config files for my GitHub profile.
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
iWeisskohl's Repositories
iWeisskohl/Deep-evidential-fusion
iWeisskohl/calibration
Python package for evaluating model calibration in classification
iWeisskohl/iWeisskohl
Config files for my GitHub profile.
iWeisskohl/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.