An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products

Uncertainty-Aware Deep Learning for Image Classi cation in Pathology

Sectra is a high-tech company that develops products in the areas of medical IT and secure communication. The company has customers in over 60 countries and more than 600 employees, with the headquarters located in Linköping, Sweden. On the medical side they have a strong interest in automated diagnostic systems for radiology and pathology. Pathology is the medical specialty concerned with diag...

End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum

In this paper, we propose an end-to-end deep learning framework to detect speech paralinguistics using perception aware spectrum as input. Existing studies show that speech under cold has distinct variations of energy distribution on low frequency components compared with the speech under ‘healthy’ condition. This motivates us to use perception aware spectrum as the input to an end-to-end learn...

Bayesian Deep Learning | Uncertainty in Deep Learning

Uncertainty in Deep Learning

Deep learning has attracted tremendous attention from researchers in various fields of information engineering such as AI, computer vision, and language processing [Kalchbrenner and Blunsom, 2013; Krizhevsky et al., 2012; Mnih et al., 2013], but also from more traditional sciences such as physics, biology, and manufacturing [Anjos et al., 2015; Baldi et al., 2014; Bergmann et al., 2014]. Neural...

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...