2024
Aksenova, Anna:
The FAIRytale of Data Stewardship: Descending into the Ontology Rabbit Hole.
Universität Bonn, B-IT, 2024
Al-Masud, M A:
Generation of Realistic Synthetic Electronic Health Records Using Large Language Model.
Universität Bonn, B-IT, 2024
Anand, Astha:
An Expert Answering System for Pest Control Decisions.
Universität Bonn, B-IT, 2024
Ay, Mehmet:
PDataViewer: Investigation of Parkinson's Disease Landscape and Enabling Semantic Data Harmonization Through Language Models.
Universität Bonn, B-IT, 2024
Bähr, Adrian:
Migration einer On-Premise HPC Simulationsanwendung in die Cloud.
Hochschule Bonn-Rhein-Sieg, 2024
Bhat, Avani:
Development and Implementation of Auto-Curation Strategies for Indication-Wide Knowledge Graphs.
Universität Bonn, B-IT, 2024
Blanke, Felix:
Wavelets for diffusion models.
Universität Bonn, 2024
Breitinger, Ben:
Transformers for time-series forecasting.
Universität Bonn, 2024
Brundan, Joseph:
An examination of topological loss functions and their applications in autoencoders.
Universität Bonn, 2024
Devdikar, Garauv:
Application of Large Language Models in Automotive Product Design Lifecycle.
Technische Universität Dresden, 2024
Düsünceli, Levent:
Unraveling comorbidity mechanisms between COVID-169 and neurodegenerative diseases with a genetics driven approach.
Universität Bonn, B-IT, 2024
Er, Deniz:
Enhancing the Understanding of Human Brain Pharmacome: Predicting Biological Causal Interactions Using Link Prediction Methods.
Universität Bonn, B-IT, 2024
Gerischer, Konrad:
Explorative Immune Cell Population Differentiation Analysis in Alzheimer's Disease Patients and Health Individuals.
Hochschule Koblenz, 2024
Kaisheva, Antonia:
Aspects of Parallel Aggregation-Based Algebraic Multigrid with Industrial Applications.
Universität Bonn, 2024
Kazakoglu, Umut:
Knowledge Graph-Powered Multi-Omics Dataset Search.
Universität Bonn, B-IT, 2024
Khan, Rana Mahir:
Entwicklung einer Bewertungsmethodik für alternative PKW-Antriebskonfigurationen im Vergleich zum elektrischen Zentralmotor.
Hochschule Bonn-Rhein-Sieg, 2024
Komisarczyk, Mieszko:
Investigation on neural stochastic differential equations.
Universität Bonn, 2024
Krishnan, Aparna:
Strategies for Rapid Semi-Automated Generation of Indication-Wide Biomedical Data Landscapes.
Universität Bonn, B-IT, 2024
Kühner, Paul Theodor:
Enriched Approximations for Shape Optimization.
Universität Bonn, 2024
Lyczek, Katarzyna:
Physics-informed graph neural networks for the power flow problem.
Universität Bonn, 2024
Manav, Muskan:
Using Neural Networks For Scientific Discovery In Biological Learning Research.
Universität Bonn, B-IT, 2024
Nageswaran, Neha:
Exploring Artificial Intelligence Methods for Gait Analysis in Parkinson’s Disease Patients.
Hochschule Hof, 2024
Noack, Helena:
Eine Szenarioanalyse des Radnabenantriebs für Leitmärkte im Jahr 2035.
Hochschule Bonn-Rhein-Sieg, 2024
Odeh, Joud:
Development of Sleep Models for the Early Prediction of Alzheimer’s Disease.
Universität Bonn, B-IT, 2024
Ravishankar, Vaishali:
Exploratory Analysis of Turbulent Flow Data using GNN-based Surrogate Model.
Technische Universität München, 2024
Scarton, Ludovico:
Investigating Surrogate Modeling Techniques for Quality Diversity Optimization of High-Dimensional Discrete Problems.
Hochschule Bonn-Rhein-Sieg, 2024
Schauerte, Paulina:
Parallelization Aspects of Aggregative-Multiscale AMG in Practical Application Contexts.
Universität Bonn, 2024
Schneider, Mark Domenic:
Optimal Enrichment for transient problems with PUMA.
Universität Bonn, 2024
Shalaby, Karim:
Synergistic drug repurposing based on data-augmented knowledge graphs.
Universität Bonn, B-IT, 2024
Von Arnim, Georg Philip:
Personalized drug recommendation with pretrained GNNs on a large biomedical knowledge graph.
Freie Universität Berlin, 2024
Weiß, Anne:
Learning dynamics from sampling.
Universität Bonn, 2024