{"id":1478,"date":"2023-12-20T08:48:01","date_gmt":"2023-12-20T08:48:01","guid":{"rendered":"https:\/\/dataninja.nrw\/?page_id=1478"},"modified":"2024-03-21T08:59:59","modified_gmt":"2024-03-21T08:59:59","slug":"dataninja-spring-school-2022-online-proceedings","status":"publish","type":"page","link":"https:\/\/dataninja.nrw\/?page_id=1478","title":{"rendered":"DataNinja Spring School 2022 Online Proceedings"},"content":{"rendered":"\n

DataNinja Spring School 2022 Online Proceedings<\/h1>\n\n\n\n

Welcome to the online proceedings of the DataNinja Spring School 2022 – “Artificial Intelligence \u2013 perspectives and challenges of real data<\/strong>“.
During our Spring School, young talents in AI had the opportunity to\u00a0showcase their own work in the\u00a0virtual poster session.
This page serves as a repository for the corresponding abstracts and poster files.<\/p>\n\n\n\n

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Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors<\/a><\/h4>\n\n\n\n

Tobias Riedlinger1<\/sup>, Matthias Rottmann1<\/sup>, Marius Schubert1<\/sup> & Hanno Gottschalk1<\/sup>
1 <\/sup>School of Mathematics and Natural Sciences University of Wuppertal, Wuppertal, Germany<\/p>\n\n\n\n

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N-MNIST object recognition with Spiking Neural Networks<\/a><\/h4>\n\n\n\n

Federico Pennino1<\/sup>, Shamini Koravuna1<\/sup>, Christoph Ostrau1<\/sup> & Ulrich R\u00fcckert1<\/sup>
1 <\/sup>Bielefeld University, Bielefeld, Germany<\/p>\n<\/div><\/div>\n\n\n\n

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Generative Modeling of Turbulence<\/a><\/h4>\n\n\n\n

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

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Applied Machine Learning in Care for Initial Orientation for Family Caregivers<\/a><\/h4>\n\n\n\n
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Paul Wunderlich1<\/sup>, Frauke Wiegr\u00e4be1<\/sup> & Helene D\u00f6rksen1<\/sup>
1<\/sup> Institute Industrial IT OWL, University of Applied Sciences and Arts, Lemgo, Germany<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Redundancy-Aware Unsupervised Ranking Based on Game Theory – Application to Gene Enrichment Analysis<\/a><\/h4>\n\n\n\n

Chiara Balestra1<\/sup>, Emmanuel M\u00fcller1<\/sup>, Carlo Maj2<\/sup>\u00a0& Andreas Mayr3<\/sup>
1<\/sup> TU Dortmund University, Dortmund, Germany
2<\/sup> Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
3<\/sup> Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany<\/p>\n<\/div><\/div>\n\n\n\n

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Real-Time SNNs Model Analyzing and Visualizing Experimentation Using RAVSim<\/a><\/h4>\n\n\n\n

Sanaullah1<\/sup>, Shamini Koravuna2<\/sup>, Ulrich R\u00fcckert2<\/sup> & Thorsten Jungeblut1<\/sup>
1<\/sup> University of Applied Science, Bielefeld, Germany
2<\/sup> Research Institute for Cognition and Robotics, University of Bielefeld, Bielefeld, Germany<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China<\/a><\/h4>\n\n\n\n

Vishakha Agrawal1<\/sup>
1<\/sup> Dayananda Sagar College of Engineering, Bangalore, India<\/p>\n<\/div><\/div>\n\n\n\n

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A Downstream Task Informed Domain Adaptation GAN for Semantic Street Scene Segmentation<\/a><\/h4>\n\n\n\n

Annika M\u00fctze1<\/sup>, Matthias Rottmann1<\/sup> & Hanno Gottschalk1<\/sup>
1<\/sup> Interdisciplinary Center for Machine Learning and Data Analytics, University of Wuppertal, Wuppertal, Germany<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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