Tuesday, June the 13th

08:30 Registration

08:45    Prof. Stefan Kramer, Johannes Gutenberg-Universität Mainz

Welcome Address

09:00 Keynote: Dinesh Kumari Chenchanna, ZDF (Session Chair: Christoph Bläsi)

Künstliche Intelligenz: Journalistisches Werkzeug, Kollege oder Konkurrenz? - Ein
Zwischenruf

10:00    Introducing RCTs as the Gold Standard for Evaluating Knowledge
Tracing Algorithms in Real-World Applications. Marius Köppel, Isabell Zipperle, Tim
Klausmann and Daniel Schunk

10:30 Coffee Break

11:00     Session: AI in Biomedical Research (Session Chair: Michael Wand)

11:00     MFmap: A new semi-supervised autoencoder applied to data integration in cancer research.
Xiaoxiao Zhang and Maik Kschischo

11:20   Efficient structured reporting in radiology using an intelligent dialogue system based on
speech recognition and natural language processing. Tobias Jorg, Benedikt Kämpgen, Dennis
Feiler, Lukas Mueller, Christoph Dueber, Peter Mildenberger and Florian Jungmann

11:40     Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations.
Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, Meemansa Sood, Maik Kschischo and

Holger Froehlich

12:00    A Fair Experimental Comparison of Neural Network Architectures for Latent Representations
of Multi-Omics for Drug Response Prediction. Tony Hauptmann

12:20     Deep Unsupervised Selected Gene and SNP Identification in Pool-Seq Data. Julia Siekiera

12:40 Lunch Break

13:30 Keynote: Prof. Roberto Esposito, Univ. degli Studi di Torino (Session Chair: Mattia Cerrato)

Fairness in Neural Networks

14:30 Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based
Multi-Fusion Approach. Julian Vexler

15:00 Coffee Break

15:30 Poster Session 1 (program see below)

17:00 End of Activities

Wednesday, June the 14th

08:30    Machine learning models for predicting severe Covid-19 outcomes in hospitals. Philipp
Wendland, Vanessa Schmitt, Jörg Zimmermann, Lukas Häger, Siri Göpel, Christof
Schenkel-Häger and Maik Kschischo

09:00 Keynote: Nuria Oliver, PhD., director of the ELLIS Alicante Foundation, Chief Scientific
Adviser at the Vodafone Institute (Session Chair: Stefan Kramer)
Data Science against COVID-19: The Valencian Experience

10:00 Sensor Fusion for Occupancy Estimation in the University of Applied Sciences Mainz.
Cédric Roussel, Klaus Böhm and Pascal Neis

10:20 Coffee Break

11:00     Session: Trustworthy AI (Session Chair: Maik Kschischo)

11:00 Soft Hoeffding Tree: A Transparent and Differential Model on Streaming Data. Kirsten
Köbschall

11:20     Human-in-the-Loop Model Generation for Explainable Permutation Regression. Lukas
Pensel

11:40     On Privacy Issues of Exception-Tolerant Hierarchical Knowledge Bases. Daan Apeldoorn,
Timm Lilienthal and Torsten Panholzer

12:00    N -Parties Private Structure and Parameter Learning for Sum-Product Networks. Xenia
Heilmann.

12:20     Towards faster Fully Homomorphic Encryption using Tensor Cores. Valentin Henkys,
Ernst Althaus and Bertil Schmidt

12:40 Lunch Break

13:30 Poster Session 2 (program see below)

15:00     Coffee Break

15:30 Symmetry classification with product-unit neural networks. Alina Burgert, Babette Dellen
            and Uwe Jaekel

16:00 Keynote: Wanja Wiese, PhD., Ruhr-Universität Bochum (Session Chair: Anita Sellent)

What is at stake in debates about artificial consciousness?

17:00 End of Activities

Poster Session 1:

• Soft Hoeffding Tree: A Transparent and Differential Model on Streaming Data. Kirsten Köbschall.

• Human-in-the-Loop Model Generation for Explainable Permutation Regression. Lukas Pensel.

• On Privacy Issues of Exception-Tolerant Hierarchical Knowledge Bases. Daan Apeldoorn,
  Timm Lilienthal and Torsten Panholzer

• A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction. Tony Hauptmann.

• Deep Unsupervised Selected Gene and SNP Identification in Pool-Seq Data. Julia Siekiera.

• Machine learning models for predicting severe Covid-19 outcomes in hospitals. Philipp Wendland, Vanessa Schmitt, Jörg Zimmermann, Lukas Häger, Siri Göpel, Christof Schenkel-Häger and Maik Kschischo

• Sensor Fusion for Occupancy Estimation in the University of Applied Sciences Mainz. Cédric Roussel, Klaus Böhm and Pascal Neis

• Symmetry classification with product-unit neural networks. Alina Burgert, Babette Dellen and Uwe Jaekel

• Towards Fair Representation Learning using Transparent Methods. Kiara Stempel

Poster Session 2: 

• N -Parties Private Structure and Parameter Learning for Sum-Product Networks. Xenia Heilmann

• Towards faster Fully Homomorphic Encryption using Tensor Cores. Valentin Henkys, Ernst Althaus and Bertil Schmidt

• MFmap: A new semi-supervised autoencoder applied to data integration in cancer research. Xiaoxiao Zhang and Maik Kschischo

• Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing. Tobias Jorg, Benedikt Kämpgen, Dennis Feiler, Lukas Mueller, Christoph Dueber, Peter Mildenberger and Florian Jungmann

• Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations. Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, Meemansa Sood, Maik Kschischo and Holger Froehlich

• Introducing RCTs as the Gold Standard for Evaluating Knowledge Tracing Algorithms in Real-World Applications. Marius Köppel, Isabell Zipperle, Tim Klausmann and Daniel Schunk

• Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach. Julian Vexler

• AbstractSwarm: Comprehensible Multi-Agent Simulations for Logistics and Education. Daan Apeldoorn and Torsten Panholzer

• Automated Journalism: The Future of Journalism. Samira Mahi-Moussa

• X-FP: Software Presentation and Validation Case Study. Aishvarya Tandon, Hanna Rieger and Paul Czodrowski