IEEE

Uncertainty Quantification for Semi-Supervised Object Detection in Remote Sensing Images

Abstract: Semi-supervised object detection (SSOD) aims to solve the data annotation challenge in object detection and can achieve remarkable progress in natural scenes; however, it remains unexplored ...
IEEE

Uncertainty Quantification for Travel-Time Tomography Using Deep Operator Networks With Randomized Priors

Abstract: Seismic travel-time tomography is an effective approach for exploring subsurface structures. In recent years, machine learning (ML) has been successfully applied in seismic travel-time ...
The Conversation

In this age of global uncertainty, where in the world can we look for guidance?

Ian Scoones was a recipient of a European Research Council Advanced Grant for the PASTRES project - Pastoralism, Uncertainty and Resilience: Global Lessons from the ...
GitHub

UADAPy - Uncertainty-aware Data Analysis with Python

UADAPy is a Python library to support an easy analysis of uncertain data. @INPROCEEDINGS{UADAPy, author={Paetzold, Patrick and Hägele, David and Evers, Marina and Weiskopf, Daniel and Deussen, Oliver} ...