Intern
Lernen. Wissen. Daten. Analysen. (LWDA) 2024

FG KDML Schedule

Monday

14:00 Opening  
14:30

Invited Talk: Andreas Maier

Known Operator Learning and Hybrid Machine Learning in Medical Imaging - The Past, the Present, and the Future

 
 
15:30 Coffee  
 
16:00 Ralf Gitzel, Fabian Frech and Aydin Boyaci: Evaluation of Anomaly Detection Algorithms on Circuit Breaker Lifetime Test Data PDF
16:30 [Resub.] Simon Klüttermann, Chiara Balestra and Emmanuel Müller: On the efficient Explanation of Outlier Detection Ensembles through Shapley Values PDF
17:00 [Resub.] Philipp Röchner, Henrique Oliveira Marques, Ricardo José Gabrielli Barreto Campello and Arthur Zimek: Evaluating Outlier Probabilities: Assessing Sharpness, Refinement, and Calibration Using Stratified and Weighted Measures PDF
     
18:30 Poster Reception  
 

 

Tuesday

09:00 Joint Session  
[Resub.] Mirjam Minor und Eduard Kaucher: Retrieval Augmented Generation with LLMs for Explaining Business Process Models (FG KM) PDF
09:30 Youri Kaminsky, Eduardo H.M. Pena and Felix Naumann: Discovering Similarity Inclusion Dependencies (FG DB) PDF
10:00 Mohamed Karim Belaid, Tim Wibiral, Maximilian Rabus and Eyke Hüllermeier: Weighted Pairwise Difference Learning (FG KDML) PDF
10:30 Coffee  
 
11:00 Cancelled PDF
11:30 Moved to Wednesday PDF
12:30 Lunch  
 
14:00

Invited Talk: Ingo Scholtes

How the Arrow of Time shapes the Causal Topology of Temporal Graphs - From Modelling to Deep Learning

 
15:30 Coffee  
 
16:00 Andreas Roth: Simplifying the Theory on Over-Smoothing PDF
16:30 Alexander Stahl: Boolean Expression Approximation for Binary Classification Using BBQT PDF
17:15 FG Community Meeting  
 

Wednesday

09:00 [Resub.] Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause: GrINd: Grid Interpolation Network for Scattered Observations - Moved to Wednesday PDF
09:30 Gabriel Damamuye Hamalwa: Mind the (AI) Gap: Psychometric Profiling of GPT Models for Bias Exploration PDF
10:00 [Resub.] Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber and Thomas Seidl: Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms PDF
10:30 Coffee  
 
11:00 Joint Session  
[Resub.] Tobias Koopmann, Martin Becker, Florian Lemmerich, Andreas Hotho: CompTrails: comparing hypotheses across behavioral networks (FG KDML) PDF
11:30 Wieland Müller, Michael Leyer und Klaus Krebs: The Role of Individual Time Experience on Cognitive Knowledge Retrieval from Memory (FG KM) PDF
12:00 Maximilian Schüle: Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL (FG DB) PDF

 

The rooms for the individual talks will be announced soon.