KI 2025: Advances in Artificial Intelligence, Kartoniert / Broschiert
KI 2025: Advances in Artificial Intelligence
- 48th German Conference on AI, Potsdam, Germany, September 16-19, 2025, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Tanya Braun, Benjamin Paaßen, Frieder Stolzenburg
- Verlag:
- Springer, 09/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032028129
- Artikelnummer:
- 12358752
- Umfang:
- 324 Seiten
- Gewicht:
- 493 g
- Maße:
- 235 x 155 mm
- Stärke:
- 18 mm
- Erscheinungstermin:
- 1.9.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
.- 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¨¿ssa 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.
