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06/01/2023
A Gaussian Sliding Windows Regression Model for Hydrological Inference
Statistical models are an essential tool to model, forecast and understa...
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03/11/2023
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
Scientists and statisticians often want to learn about the complex relat...
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02/20/2023
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction
Determining the most informative features for predicting the overall sur...
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09/21/2021
Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data
Training predictive models on datasets from multiple sources is a common...
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04/30/2021
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
Training machine learning models on high-dimensional datasets is a chall...
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03/24/2021
Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition
In industrial manufacturing, modern high-tech equipment delivers an incr...
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03/10/2021
Principal component-based image segmentation: a new approach to outline in vitro cell colonies
The in vitro clonogenic assay is a technique to study the ability of a c...
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09/27/2020
