DataNinja sAIOnARA 2024 Conference

Date: 25.-27.06.2024

Organized by: Data-NInJA research training group

Editor: Ulrike Kuhl

Published: 2024-10-11

Full Issue

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Articles

Shaping Trustworthy AI: An Introduction to This Issue

Ulrike Kuhl
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Is it Possible to Characterize Group Fairness in Rankings in Terms of Individual Fairness and Diversity?

Chiara Balestra
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Comparing Shapley Value Approximation Methods for Unsupervised Feature Importance

Patrick Kolpaczki
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Question Answering from Healthcare Fora

David M. Schmidt, Philipp Cimiano
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Linguistic-Based Reflection on Trust Calibration in Conversations with LLM-Based Chatbots

Milena Belosevic, Hendrik Buschmeier
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COMETH - An Active Learning Approach Enhanced with Large Language Models

Franziska Zelba, Stefanie Hittmeyer, Gesa Benndorf
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Finding Commonalities in Dynamical Systems with Gaussian Processes

Andreas Besginow, Jan David Hüwel, Markus Lange-Hegermann, Christian Beecks
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Dueling Bandits with Delayed Feedback

Jasmin Brandt, Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier
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Leveraging Desirable and Undesirable Event Logs in Process Mining Tasks

Ali Norouzifar, Wil van der Aalst
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Feeling Socially Excluded When Working With Robots

Clarissa Sabrina Arlinghaus, Günter W. Maier
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Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models

Sanaullah, Hasina Attaullah, Thorsten Jungeblut
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Advancements in Neural Network Generations

Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut
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Nonlinear Prediction in a Smart Shoe Insole

Markus Vieth
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Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action

Nils Grimmelsmann, Malte Mechtenberg, Markus Vieth, Barbara Hammer, Axel Schneider
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Bioinspired Decentralized Hexapod Control with a Graph Neural Network

Luca Hermes, Barbara Hammer, Malte Schilling
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Improving Trust in AI Through Sustainable and Trustworthy Reporting

Raphael Fischer, Mirko Bunse
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Beyond Trial and Error in Reinforcement Learning

Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
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Closing the Loop with Concept Regularization

Andres Felipe Posada-Moreno, Sebastian Trimpe
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Provable Guarantees for Deep Learning-Based Anomaly Detection through Logical Constraints

Tim Katzke, Simon Lutz, Emmanuel Müller, Daniel Neider
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Study on the Influence of Texture Variation on the Validation Performance of a Synthetically Trained Object Detector

Alexander Moriz, Dominik Wolfschläger, Robert H. Schmitt
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Interpretable Machine Learning via Linear Temporal Logic

Simon Lutz, Daniel Neider
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Distributive Justice of Resource Allocation Through Artificial Intelligence

Paul Hellwig, Günter W. Maier
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Concept Extraction for Time Series With ECLAD

Antonia Holzapfel, Andres Felipe Posada-Moreno, Sebastian Trimpe
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Trustworthy Virtual Measurements in Battery Manufacturing

Lukas Krebs, Tobias Müller, Robert H. Schmitt
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