• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • AIxIA 2024 – Advances in Artificial Intelligence: XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25–28, 2024 Proceedings

    AIxIA 2024 – Advances in Artificial Intelligence by Artale, Alessandro; Cortellessa, Gabriella; Montali, Marco;

    XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25–28, 2024 Proceedings

    Series: Lecture Notes in Computer Science; 15450;

      • GET 12% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 70.61
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        29 285 Ft (27 890 Ft + 5% VAT)
      • Discount 12% (cc. 3 514 Ft off)
      • Discounted price 25 770 Ft (24 543 Ft + 5% VAT)

    29 285 Ft

    db

    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 1 January 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031806063
    • Binding Paperback
    • No. of pages348 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XIII, 348 p. 102 illus., 82 illus. in color. Illustrations, black & white
    • 625

    Categories

    Long description:

    This book constitutes the refereed proceedings of the XXIIIrd International Conference on AIxIA 2024 – Advances in Artificial Intelligence, AIxIA 2024, held in Bolzano, Italy, during November 25–28, 2024.

    The 24 full papers and 1 invited paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: artificial intelligence; journals; Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.

    More

    Table of Contents:

    .- Against the Clock: Lessons Learned by Applying Temporal Planning in
    Practice.

    .- A Novel Approach for Leveraging Agent-based Experts on Large
    Language Models to Enable Data Sharing among Heterogeneous IoT
    Devices in Agriculture.

    .- An Extensive Empirical Analysis of Macro-Actions for Numeric Planning.

    .- Feature selection on contextual embedding pushing the sparseness.

    .- Neuro-symbolic Integration for Open Set Recognition in Network
    Intrusion Detection.

    .- MM-IGLU-IT: Multi-Modal Interactive Grounded Language
    Understanding in Italian.

    .- IDADA: A Blended Inductive-Deductive Approach for Data Augmentation .

    .- HaWANet: Road Scene Understanding with Multi-modal Sensor Data
    using Height-Width-driven Attention Network.

    .- Hybrid Classification of European Legislation using Sustainable
    Development Goals.

    .- Supporting Decision-Making for City Management through Automated
    Planning and Execution.

    .- NutriWell: an Explainable Ontology-Based FoodAI Service for
    Nutrition and Health Management.

    .- Regular Clocks for Temporal Task Specifications in Reinforcement
    Learning.

    .- A Real-Time Support with Haptic Feedback for Safer Driving using
    Monocular Camera.

    .- Relating explanations with the inductive biases of Deep Graph Networks.

    .- ntegrating Temporal Planning and Knowledge Representation to
    Generate Personalized Touristic Itineraries.

    .- ASR Systems Under Acoustic Challenges: A Multilingual Study.

    .- Automating Resume Analysis: Knowledge Graphs via Prompt Engineering.

    .- Combined Text-Visual Attention Models for Robot Task Learning and
    Execution.

    .- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality.

    .- Hierarchical Knowledge Extraction from Opaque Machine Learning
    Predictors.

    .- On Different Symbolic Music Representations for Algorithmic
    Composition Approaches based on Neural Sequence Models.

    .- DR-Minerva: a Multimodal Language Model based on Minerva for
    Diagnostic Information Retrieval .

    .- REPAIR platform: Robot-aidEd PersonAlIzed Rehabilitation.

    .- Integrating classical planners with GPT-based Planning Policies.

    .- Probabilistic Traces in Declarative Process Mining.

    More