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KI 2024: Advances in Artificial Intelligence 47th German Conference on AI, Würzburg, Germany, September 25–27, 2024, Proceedings /

This book constitutes the proceedings of the 47th German Conference on AI, KI 2024, which was held in Würzburg, Germany, during September 25–27, 2024. The 19 full papers, 7 short papers and 5 other papers presented in this book were carefully reviewed and selected from 63 submissions. KI is one of t...

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מידע ביבליוגרפי
מחבר תאגידי: SpringerLink (Online service)
מחברים אחרים: Hotho, Andreas (Editor), Rudolph, Sebastian (Editor)
פורמט: אלקטרוני ספר אלקטרוני
שפה:אנגלית
יצא לאור: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
מהדורה:1st ed. 2024.
סדרה:Lecture Notes in Artificial Intelligence, 14992
נושאים:
Artificial intelligence.
Computer engineering.
Computer networks .
Application software.
Education > Data processing.
Computer science > Mathematics.
Artificial Intelligence.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Computers and Education.
Mathematics of Computing.
גישה מקוונת:https://doi.org/10.1007/978-3-031-70893-0
תגים: הוספת תג
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תוכן הענינים:
  • -- Full Technical Papers.
  • From Resolving Inconsistencies in Qualitative Constraints Networks to Identifying Robust Solutions: A Universal Encoding in ASP.
  • Efficiently Training Neural Networks for Imperfect-Information Games by Sampling Information Sets.
  • A Note on Linear Time Series Prediction.
  • Data Augmentation in Latent Space with Varational Autoencoder and Pretrained Image Model for Visual Reinforcement Learning.
  • Could the Declarer have Discarded It? Refined Anticipation of Cards in Skat.
  • A Framework for General Trick-Taking Card Games.
  • Mechanisms for Data Sharing in Collaborative Causal Inference.
  • SaVeWoT: Scripting and Verifying Web of Things Systems and Their Effects on the Physical World.
  • Active Learning in Multi-label Classification of Bioacoustic Data.
  • Quantifying the Trade-Offs between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness.
  • Image Dataset Quality Assessment Through Descriptive Out-of- Distribution Detection.
  • Saxony-Anhalt is the worst: Bias towards German federal states in Large Language Models.
  • Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models.
  • Evaluating AI-based Components for Autonomous Railway Systems.
  • SocialCOP: Reusable Building Blocks for Collective Constraint Optimization.
  • Context-Specific Selection of Commonsense Knowledge Using Large Language Models.
  • Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation.
  • Data Generation for Explainable Occupational Fraud Detection.
  • Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data.
  • Technical Communications.
  • Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes.
  • Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices.
  • Automated Design in Hybrid Action Spaces by Reinforcement Learning and Differential Evolution.
  • Instance segmentation with a novel tree log detection dataset.
  • LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps.
  • Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children.
  • Explanatory Interactive Machine Learning with Counterexamples from Constrained Large Language Models.
  • Extended Abstracts of Papers from other AI Conferences.
  • MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation (Extended Abstract).
  • A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract).
  • Out-of-Distribution Detection with Logical Reasoning (Extended Abstract).
  • A Brief Systematization of Explanation-Aware Attacks (Extended Abstract).
  • Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).
  • MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation (Extended Abstract).
  • A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets (Extended Abstract).
  • Out-of-Distribution Detection with Logical Reasoning (Extended Abstract).
  • A Brief Systematization of Explanation-Aware Attacks (Extended Abstract).
  • Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).

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