Veröffentlichungswege

Al-Subari, Karema S. A. (2017) A Study of Biomedical Time Series Using Empirical Mode Decomposition : Extracting event-related modes from EEG signals recorded
during visual processing of contour stimuli. Dissertation, Universität Regensburg.

Ackermann, Günther (2001) Photophysikalische Grundlagen zur Fluoreszenzdiagnostik von Tumoren der Haut. Dissertation, Universität Regensburg.

Bommer, Marinus (2024) Root Cause Analysis in Sparsely Labeled Environments using Machine Learning. Dissertation, Universität Regensburg.

Böhm, Matthias (2013) Mathematical modeling of human brain physiological data. Dissertation, Universität Regensburg.

Blöchl, Florian (2011) Integrating machine learning approaches into network science: exemplary applications and novel algorithms. Dissertation, Universität Regensburg.

Fischer, Volker (2011) Analysis of connectivity between local multi-variate patterns of functional MRI data. Dissertation, Universität Regensburg.

Goldhacker, Markus (2017) Frequency-resolved dynamic functional connectivity and scale stability of connectivity-states. Dissertation, Universität Regensburg.

Herold, Daniela (2014) Likelihood-free methods for tumor progression modeling. Dissertation, Universität Regensburg.

Lang, Christian (2021) Machine Learning Approaches for Energy Forecasting. Dissertation, Universität Regensburg.

Langgartner, Florian S. (2020) Machine Learning Techniques and Optical Systems for Iris Recognition from Distant Viewpoints. Dissertation, Universität Regensburg.

Lutter, Dominik Ralph Lionel (2010) Towards the identification of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome. Dissertation, Universität Regensburg.

Meilinger, Manuel (2011) Metal artifact reduction and image processing of cone-beam computed tomography data for mobile C-arm CT devices. Dissertationsreihe der Fakultät für Physik der Universität Regensburg 20, Dissertation, Universität Regensburg.

Raab, Florian (2024) Automated MRI Segmentation and Feature Extraction for Predicting Liver Function Deploying Advanced Deep Learning Models. Dissertationsreihe Physik Dissertation, Universität Regensburg.

Spichtinger, Andrea (2023) Physics-guided Machine Learning for Small Data Sets. Dissertation, Universität Regensburg.

Steinborn, Florian (2022) Time series analysis and prediction of electricity load demand with machine learning techniques. Dissertation, Universität Regensburg.

Senninger, Dominik (2011) Analysis of electron diffraction patterns from carbon nanotubes with image processing to determine structural parameters. Dissertation, Universität Regensburg.

Schachtner, Reinhard (2010) Extensions of non-negative matrix factorization and their application to the analysis of wafer test data. Dissertation, Universität Regensburg.

Schmidgunst, Christian (2008) Modell zur Konditionierung von Festkörperdetektoren für die 2D/3D-Röntgenbildgebung mit mobilen C-Bogensystemen. Dissertation, Universität Regensburg.

Stadlthanner, Kurt (2007) Novel postprocessing methods to remove the water resonance from protein NMR spectra. Dissertation, Universität Regensburg.

Schels, Armin (2002) Neuronale Netzwerkmodelle zur Analyse hochdimensionaler, multisensorischer Datensätze prozessierter Si-Wafer. Dissertation, Universität Regensburg.

Weiderer, Peter (2019) Machine Learning Applications for Thermal Manufacturing Processes. Dissertation, Universität Regensburg.

Zeiler, Angela (2013) Weighted Sliding Empirical Mode Decomposition and its application to neuromonitoring data. Dissertation, Universität Regensburg.