How Data Operationalization Can Create 'Digital Twins' For Data

Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move ...
GitHub

PROB: Probabilistic Objectness for Open World Object Detection (CVPR 2023)

PROB adapts the Deformable DETR model by adding the proposed 'probabilistic objectness' head. In training, we alternate between distribution estimation (top right) and objectness likelihood ...
IEEE

Probabilistic Modeling of Train Operations for Uncertainty Quantification: A Context-Aware Bayesian Network Approach

Abstract: In this study, train operations were modeled by Bayesian networks (BN), to use the probability essence of the BN to quantify their uncertainty (e.g., the epistemic and aleatoric uncertainty ...
unite

The Changing Cloud Forecast

I was working professionally when the cloud became a thing. From that vantage I saw initial adoption: the excitement, the flexibility, the sense that everything was going to move faster. This led to ...
Frontiers

Probability and its Paradoxes for Critical Thinking

Students of many scientific disciplines often find difficulties in defining concepts, making and proving claims, etc., that affect their education negatively. If they do not enhance their critical, ...
IEEE

Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions

Abstract: Road traffic safety has attracted increasing research attention, in particular in the current transition from human-driven vehicles to autonomous vehicles. Surrogate measures of safety are ...