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  • Produktbild: KI 2024: Advances in Artificial Intelligence
  • Produktbild: KI 2024: Advances in Artificial Intelligence
Band 14992 - 21%

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

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64,99 € UVP 82,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.08.2024

Abbildungen

XIX, 362 p. 100 illus., 87 illus. in color.

Herausgeber

Andreas Hotho + weitere

Verlag

Springer

Seitenzahl

362

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-70892-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.08.2024

Abbildungen

XIX, 362 p. 100 illus., 87 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

362

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-70892-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: KI 2024: Advances in Artificial Intelligence
  • Produktbild: KI 2024: Advances in Artificial Intelligence

  • .- 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).