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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

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Alessandro Artale

    1. Free University of Bozen-Bolzano, Bolzano, Italy

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  2. Gabriella Cortellessa

    1. Consiglio Nazionale delle Ricerche, Roma, Italy

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  3. Marco Montali

    1. Free University of Bozen-Bolzano, Bolzano, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15450)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AIxIA 2024.

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About this book

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.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

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

    • Andrea Micheli
    Pages 1-11

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

    • Nur Arifin Akbar, Biagio Lenzitti, Domenico Tegolo
    Pages 12-22

  4. An Extensive Empirical Analysis of Macro-actions for Numeric Planning

    • Diaeddin Alarnaouti, Francesco Percassi, Mauro Vallati
    Pages 23-36

  5. Feature Selection on Contextual Embedding Pushing the Sparseness

    • Stefano Bistarelli, Marco Cuccarini
    Pages 37-49

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

    • Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
    Pages 50-63

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

    • Federico Borazio, Claudiu Daniel Hromei, Elisa Passone, Danilo Croce, Roberto Basili
    Pages 64-78

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

    • Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte, Simona Perri
    Pages 79-91

  9. HaWANet: Road Scene Understanding with Multi-modal Sensor Data Using Height-Width-Driven Attention Network

    • Soumick Chatterjee, Jiahua Xu, Adarsh Kuzhipathalil, Andreas Nürnberger
    Pages 92-104

  10. Hybrid Classification of European Legislation Using Sustainable Development Goals

    • Michele Corazza, Franco M. T. Gatti, Salvatore Sapienza, Monica Palmirani
    Pages 105-118

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

    • Riccardo De Benedictis, Gloria Beraldo, Amedeo Cesta, Gabriella Cortellessa
    Pages 119-132

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

    • Berardina De Carolis, Davide Lofrese, Davide Di Pierro, Stefano Ferilli
    Pages 133-146

  13. Regular Clocks for Temporal Task Specifications in Reinforcement Learning

    • Giuseppe De Giacomo, Marco Favorito, Fabio Patrizi
    Pages 147-160

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

    • Giorgio De Magistris, Lorenzo Guercio, Francesco Starna, Samuele Russo, Natalia Kryvinska, Christian Napoli
    Pages 161-174

  15. Relating Explanations with the Inductive Biases of Deep Graph Networks

    • Michele Fontanesi, Alessio Micheli, Marco Podda
    Pages 175-187

  16. Integrating Temporal Planning and Knowledge Representation to Generate Personalized Touristic Itineraries

    • Silvia Gola, Donatella Capaldi, Alessandra Chivirì, Mohamed Ali Jaziri, Laura Leopardi, Saverio Giulio Malatesta et al.
    Pages 188-199

  17. ASR Systems Under Acoustic Challenges: A Multilingual Study

    • Sergei Katkov, Antonio Liotta, Alessandro Vietti
    Pages 200-213

  18. Automating Resume Analysis: Knowledge Graphs via Prompt Engineering

    • Giorgio Lazzarinetti, Sara Manzoni, Italo Zoppis
    Pages 214-227

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

    • Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
    Pages 228-240

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

    • Federico Sabbatini, Roberta Calegari
    Pages 241-256
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Other volumes

  1. AIxIA 2024 – Advances in Artificial Intelligence

Editors and Affiliations

  • Free University of Bozen-Bolzano, Bolzano, Italy

    Alessandro Artale, Marco Montali

  • Consiglio Nazionale delle Ricerche, Roma, Italy

    Gabriella Cortellessa

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