Artificial Intelligence (AI) use in automated Electrocardiogram (ECG) classification has
continuously attracted the research community's interest, motivated by their promising …

The usage of machine-learning techniques, such as neural networks, is common in a large
variety of domains. Estimating the certainty of a predicted value is important when precise …

Data-driven Deep Learning (DL) models have revolutionized autonomous systems, but
ensuring their safety and reliability necessitates the assessment of predictive confidence or …

To improve the uncertainty quantification of variance networks, we propose a novel tree-
structured local neural network model that partitions the feature space into multiple regions …

Uncertainty is an inevitable and essential aspect of the world we live in and a fundamental
aspect of human decision-making. It is no different in the realm of machine learning. Just as …

Uncertainty is an inevitable and essential aspect of the worldwe live in and a fundamental
aspect of human decision-making. It is no different in the realm of machine learning. Just as …