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Martin Atzmueller

An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications

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Sep 18, 2024
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Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings

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Aug 25, 2024
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Multivariate Time Series Regression with Graph Neural Networks

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Jan 10, 2022
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Local Exceptionality Detection in Time Series Using Subgroup Discovery

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Aug 05, 2021
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A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring

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May 01, 2021
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Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks

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Sep 08, 2019
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Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations

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Sep 08, 2019
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Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data

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Dec 14, 2017
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