Description
Book Synopsis.- Full Technical Papers.
.- Augmenting Systematic Literature Reviews: A Human-AI Collaborative
Framework.
.- Balanced Reciprocity for Data Sharing - Axiomatization and
Mechanism Design.
.- Toward Short and Robust Contrastive Explanations for Image
Classification by Leveraging Instance Similarity and Concept Relevance.
.- Intermediate-Task Transfer Learning for Bioacoustic Data.
.- On the Domain Robustness of Contrastive Vision-Language Models.
.- Numbers Don’t Lie: Hybrid Extraction and Validation of Quantitative
Statements in Arguments with Semi-Structured Information.
.- A Hybrid Constraint-Based, Greedy, and Local Search Approach for
the Transshipment Problem.
.- Re-examining learning linear functions in context.
.- ODExAI: A Comprehensive Object Detection Explainable AI Evaluation.
.- Enhancing Semi-Supervised Learning with a Meta-Feature Based
Safeguard System.
.- Ca¨issa AI: A Neuro-Symbolic Chess Agent for Explainable Move
Suggestion and Grounded Commentary.
.- Unsupervised Selection of Features by their Resilience to the Curse of
Dimensionality.
.- Development of Hybrid Artificial Intelligence Training on Real and
Synthetic Data.
.- Towards Systematic Evaluation of Computer Vision Models under Data
Anonymization.
.- Accessible Language Simplification: Large Language Models for
Generating Easy German.
.- Technical Communications.
.- Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance.
.- Deep learning emulators for large-scale, high-resolution urban pluvial
flood prediction.
.- Towards Observing the Effect of Abstraction on Understandability of
Explanations in Answer Set Programming.
.- XAIRob — An Explainable-AI-Based Relative Robustness Measure for
Object Detection.
.- LLMs for Easy Language Translation: A Case Study on German Public
Authorities Web Pages.
.- Re-Evaluating the Robustness and Interpretability of the Contrastive
Explanations Method for Image Classification.
.- Visualizing and Interpreting Neural Network Focus Regions: A
Comparative Study of Vision Transformers on Synthetic and Real Data.
.- Comparing the visual quality of deep generative models for steel
microstructures.
.- Extended Abstracts.
.- Makrut Attacks Against Black-Box Explanations.
.- Positional Overload: Positional Debiasing and Context Window
Extension for Large Language Models using Set Encoding.
.- Exploiting Contexts of LLM-based Code-Completion.
.- The origins of AI research in the Federal Republic of Germany.
.- Probabilities of the Third Type: Statistical Relational Learning and
Reasoning with Relative Frequencies.
