2020
Aborageh, Mohamed:
Machine learning classification of heterogeneous Alzheimer’s disease cohorts for prioritization of functional domains.
Universität Bonn / B-IT, 2020.
Bharadhwaj, Vinay Srinivas:
CLEP: A hybrid data- and knowledge-driven framework for generating patient representations.
Universität Bonn / B-IT, 2020.
Birkenbihl, Colin:
Mapping out the Alzheimer's disease data landscape.
Universität Bonn / B-IT, 2020.
Burchart, Yannick:
Kernels for topological analysis of sensor signals.
Universität Bonn, 2020.
Chiara Llanos, Olmo:
Algebraic approaches for gas networks.
Universität Bonn, 2020.
English, Bradley William:
Coupling qualitative knowledge graphs, quantitative systems simulation, and scientific machine learning for in-silico pathology intervention predictions (QSEPs).
Universität Bonn / B-IT, 2020.
Erlenbach, Lukas:
Active learning for Bayesian neural networks with Gaussian processes.
Universität Bonn, 2020.
Gadiya, Yojana:
Mining of clinical case reports with NLP and deep neural networks.
Universität Bonn / B-IT, 2020.
Gilch, Alexandros Philipp:
Applications of higher-order quadrature methods to econometric models and estimators.
Universität Bonn, 2020.
Gómez Freixa, Marc:
Neural ordinary differential equations for modeling and predicting Parkinson's disease progression.
Universität Bonn / B-IT, 2020.
Hines Chaves, Derrick Armando:
Multi-scale spectral-based deep graph convolution networks for molecular property.
Universität Bonn, 2020.
Jäger, Sophia:
Entwicklung eines Simulationsmodells des Power-to-Wasserstoff-Kreislaufes für das HBRS-TRE3L Hydrogen Lab mit Matlab Simulink.
Hochschule Bonn-Rhein-Sieg, 2020.
Kannan, Dinesh:
Deep neural networks and PIDE discretizations.
Universität Bonn, 2020.
Kemper, Janis:
Causal inference with focus on dynamical systems and applications in machine learning.
Universität Bonn, 2020.
Klingmann, Daniel:
Physics constrained deep learning.
Universität Bonn, 2020.
Krix, Sophia Elisabeth:
Drug Repositioning using Relational Graph Convolutional Neural Networks on Heterogenous Knowledge Graph.
Universität Bonn / B-IT, 2020.
Li, Jing:
Wasserstein metric in deep learning.
Universität Bonn, 2020.
Maczey, Pascal:
Entwicklung einer Posen-Vorhersage zur Steigerung der Reaktionsfähigkeit sicherheitsrelevanter Anwendungen bei Mensch-Roboter Kollaborationen.
Hochschule Bonn-Rhein-Sieg, 2020.
Peitzmeier, Fabian:
Bewertung der Fahrdynamik und Optimierung von Dämpfercharakteristika für den Einsatz im Motorsport.
Hochschule Bonn-Rhein-Sieg, 2020.
Peng, Chengyao:
CADA: network-based gene prioritization with phenotypic features.
Universität Bonn / B-IT, 2020.
Ram, Michael:
Entwicklung einer digitalen Regelung zur Produktionsüberwachung einer metallverarbeitenden Profilierungswalze.
Hochschule Bonn-Rhein-Sieg, 2020.
Salimi, Yasamin:
Comparison of Alzheimer’s disease progression patterns across multiple cohort studies.
Universität Bonn / B-IT, 2020.
Schulz, Elena:
Transfer Learning zur Objekterkennung in der Formula Student Driverless.
Hochschule Bonn-Rhein-Sieg, 2020.
Steffens, Angelina:
Efficient methods for handling missing data.
Universität Bonn, 2020.
Wendland, Philipp:
Generative artificial intelligence approaches for modeling of multimodal longitudinal clinical studies and simulation of virtual cohorts.
Hochschule Koblenz, RheinAhrCampus Remagen, 2020.
Zametica, Berina:
Establishing a robst pipeline for systematic analysis of rare variants from targeted resequencing data of large cohorts.
Universität Bonn / B-IT, 2020.