DataNinja Spring School 2022 Online Proceedings

Welcome to the online proceedings of the DataNinja Spring School 2022 – “Artificial Intelligence – perspectives and challenges of real data“.
During our Spring School, young talents in AI had the opportunity to showcase their own work in the virtual poster session.
This page serves as a repository for the corresponding abstracts and poster files.

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

Tobias Riedlinger1, Matthias Rottmann1, Marius Schubert1 & Hanno Gottschalk1
1 School of Mathematics and Natural Sciences University of Wuppertal, Wuppertal, Germany

N-MNIST object recognition with Spiking Neural Networks

Federico Pennino1, Shamini Koravuna1, Christoph Ostrau1 & Ulrich Rückert1
1 Bielefeld University, Bielefeld, Germany

Generative Modeling of Turbulence

Claudia Drygala1, Hanno Gottschalk1, Benjamin Winhart2 & Francesca di Mare2
1 University of Wuppertal, School of Mathematics and Natural Sciences, IMACM & IZMD, Wuppertal, Germany
2 Ruhr University Bochum, Department of Mechanical Engineering, Chair of Thermal Turbomachines and Aero Engines, Bochum, Germany

Applied Machine Learning in Care for Initial Orientation for Family Caregivers

Paul Wunderlich1, Frauke Wiegräbe1 & Helene Dörksen1
1 Institute Industrial IT OWL, University of Applied Sciences and Arts, Lemgo, Germany

Redundancy-Aware Unsupervised Ranking Based on Game Theory – Application to Gene Enrichment Analysis

Chiara Balestra1, Emmanuel Müller1, Carlo Maj2 & Andreas Mayr3
1 TU Dortmund University, Dortmund, Germany
2 Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
3 Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany

Real-Time SNNs Model Analyzing and Visualizing Experimentation Using RAVSim

Sanaullah1, Shamini Koravuna2, Ulrich Rückert2 & Thorsten Jungeblut1
1 University of Applied Science, Bielefeld, Germany
2 Research Institute for Cognition and Robotics, University of Bielefeld, Bielefeld, Germany

Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China

Vishakha Agrawal1
1 Dayananda Sagar College of Engineering, Bangalore, India

A Downstream Task Informed Domain Adaptation GAN for Semantic Street Scene Segmentation

Annika Mütze1, Matthias Rottmann1 & Hanno Gottschalk1
1 Interdisciplinary Center for Machine Learning and Data Analytics, University of Wuppertal, Wuppertal, Germany