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ORCID47th KI 2024: Würzburg, Germany
- Andreas Hotho
, Sebastian Rudolph:
KI 2024: Advances in Artificial Intelligence - 47th German Conference on AI, Würzburg, Germany, September 25-27, 2024, Proceedings. Lecture Notes in Computer Science 14992, Springer 2024, ISBN 978-3-031-70892-3
Full Technical Papers
- Moritz Bayerkuhnlein, Tobias Schwartz, Diedrich Wolter:
From Resolving Inconsistencies in Qualitative Constraints Networks to Identifying Robust Solutions: A Universal Encoding in ASP. 3-16 - Timo Bertram, Johannes Fürnkranz, Martin Müller:
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets. 17-29 - Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker:
A Note on Linear Time Series Prediction. 30-44 - Xuzhe Dang, Stefan Edelkamp:
Data Augmentation in Latent Space with Variational Autoencoder and Pretrained Image Model for Visual Reinforcement Learning. 45-59 - Stefan Edelkamp:
Could the Declarer Have Discarded It? Refined Anticipation of Cards in Skat. 60-72 - Stefan Edelkamp:
A Framework for General Trick-Taking Card Games. 73-85 - Björn Filter, Ralf Möller, Özgür Lütfü Özçep:
Mechanisms for Data Sharing in Collaborative Causal Inference. 86-98 - Justus Fries, Michael Freund, Andreas Harth:
SaVeWoT: Scripting and Verifying Web of Things Systems and Their Effects on the Physical World. 99-113 - Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
Active Learning in Multi-label Classification of Bioacoustic Data. 114-127 - Nils Kemmerzell, Annika Schreiner:
Quantifying the Trade-Offs Between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness. 128-146 - Sami Kharma, Jürgen Großmann:
Image Dataset Quality Assessment Through Descriptive Out-of-Distribution Detection. 147-159 - Anna M. Kruspe, Mila Stillman:
Saxony-Anhalt is the Worst: Bias Towards German Federal States in Large Language Models. 160-174 - Malte Luttermann, Ralf Möller, Mattis Hartwig:
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. 175-189 - Jan Roßbach, Oliver De Candido, Ahmed Hammam, Michael Leuschel:
Evaluating AI-Based Components in Autonomous Railway Systems - A Methodology. 190-203 - Julia Ruttmann, Alexander Schiendorfer:
SocialCOP: Reusable Building Blocks for Collective Constraint Optimization. 204-217 - Oliver Jakobs, Claudia Schon:
Context-Specific Selection of Commonsense Knowledge Using Large Language Models. 218-231 - Wilson Sentanoe, Sreyashi Saha, Yasas Diyanananda, Aqsa Manzoor, Buddhika Dasanayake, Daniela Thyssens:
Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation. 232-245 - Julian Tritscher, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlör:
Data Generation for Explainable Occupational Fraud Detection. 246-259 - Ilira Troshani, Thiago S. Gouvêa, Daniel Sonntag:
Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data. 260-272
Technical Communications
- Christian Beecks, Anandraj Amalraj, Alexander Graß, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer:
Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. 275-281 - Vanessa Borst, Timo Dittus, Konstantin Müller, Samuel Kounev:
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices. 282-291 - Quirin Göttl, Haris Asif, Alexander Mattick, Robert Marzilger, Axel Plinge:
Automated Design in Hybrid Action Spaces by Reinforcement Learning and Differential Evolution. 292-299 - Julian Haasis, Christopher M. A. Bonenberger, Markus Schneider:
Instance Segmentation with a Novel Tree Log Detection Dataset. 300-307 - Aray Karjauv, Sahin Albayrak:
LaFAM: Unsupervised Feature Attribution with Label-Free Activation Maps. 308-315 - Anna Riedmann, Julia Götz, Carlo D'Eramo, Birgit Lugrin:
Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children. 316-323 - Emanuel Slany, Stephan Scheele, Ute Schmid:
Explanatory Interactive Machine Learning with Counterexamples from Constrained Large Language Models. 324-331
Extended Abstracts of Papers from other AI Conferences
- Andreea Iana, Goran Glavas, Heiko Paulheim:
MIND Your Language: A Multilingual Dataset for Cross-Lingual News Recommendation (Extended Abstract). 335-340 - Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract). 341-345 - Konstantin Kirchheim, Tim Gonschorek, Frank Ortmeier:
Out-of-Distribution Detection with Logical Reasoning (Extended Abstract). 346-349 - Maximilian Noppel, Christian Wressnegger:
A Brief Systematization of Explanation-Aware Attacks. 350-354 - Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov:
Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). 355-359
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