Time |
Wednesday |
Thursday |
Friday |
8:00 |
|
Registration |
Registration |
8:30 |
9:00 |
Keynote: Carsten Binnig. Learned DBMS Components 2.0: From Workload-Driven to Zero-Shot Learning |
Keynote: Catarina Pinto Moreira. Towards Human-Centred AI: What Can Machines Learn from Eye-Tracking Data |
9:30 |
10:00 |
10:30 |
Coffee Break |
Coffee Break |
11:00 |
Applications of the Graph Tukey Depth; Florian Seiffarth, Tamás Horváth and Stefan Wrobel |
Matching Experts to Questions: A Comparison of Recommender Systems; Robin Stenzel, Max Lübbering, Bilge Ulusay, Daniel Uedelhoven and Rafet Sifa |
11:30 |
Graph Filtration Kernels; Till Hendrik Schulz, Pascal Welke and Stefan Wrobel |
Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures; Shashi Durbha, Thomas Goerttler, Eduardo Vellasques, Jan Hendrick Stockemer and Klaus Obermayer |
12:00 |
Registration |
Transforming PageRank into an Infinite-Depth Graph Neural Network; Andreas Roth and Thomas Liebig |
Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs; Jurgen O.D. van den Hoogen, Stefan D. Bloemheuvel and Martin Atzmueller |
Towards Informed Pre-Training for Critical Error Detection in English-German; Lisa Pucknat, Maren Pielka and Rafet Sifa |
12:30 |
Lunch Break |
Coffee Break |
13:00 |
Opening and Keynote: Andreas Hotho. Data Science in the wild – From Online Games to Bees |
|
13:30 |
Ordinal Quantification through Regularization; Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani and Martin Senz |
14:00 |
GEQCA: Generic Qualitative Constraint Acquisition; Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar and Helge Spieker |
14:30 |
Coffee Break |
Shrub Ensembles for Online Classification; Sebastian Buschjäger, Sibylle Hess and Katharina Morik |
15:00 |
Joint Session: |
Coffee Break |
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines |
15:30 |
On the Prediction Instability of Graph Neural Networks |
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning; Katharina Beckh, Sebastian Müller and Stefan Rüping |
16:00 |
Specification and Validation of Quality Criteria for Git Repositories using RDF and SHACL |
SancScreen: Towards a real-world dataset for evaluating explainability methods; Matthias Jakobs, Helena Kotthaus, Ines Röder and Maximilian Baritz |
16:30 |
|
ASDF-Dashboard: Automated Subgroup Detection and Fairness Analysis; Jero Schäfer and Lena Wiese |
Check Mate: A Sanity Check for Trustworthy AI; Sascha Mücke and Lukas Pfahler |
17:00 |
Reception and Postersession |
Keynote: Zoi Kaoudi. The missing piece in ML-based query optimization |
17:30 |
18:00 |
18:30 |
Community Meeting |
19:00 |
19:30 |
|
Social Event: Die Insel |
20:00 |
20:30 |
21:00 |
21:30 |
22:00 |