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06/23/2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Deep convolutional autoencoders provide an effective tool for learning n...
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08/12/2021
Registration for Incomplete Non-Gaussian Functional Data
Accounting for phase variability is a critical challenge in functional d...
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04/28/2021
Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls
Election poll reporting often focuses on mean values and only subordinat...
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12/27/2019
Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies
Considering the worst-case scenario, junction tree algorithm remains the...
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10/22/2019
Towards best practice in explaining neural network decisions with LRP
Within the last decade, neural network based predictors have demonstrate...
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07/15/2018
KOALA: A new paradigm for election coverage
Common election poll reporting is often misleading as sample uncertainty...
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09/05/2017
