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
Erscheinungsjahr 2025
ISBN: 978-3-031-80606-3
Verlag: Springer

Buch, Englisch, 348 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 552 g

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Artale, Alessandro

Cortellessa, Gabriella

Montali, Marco

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Compiler
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

.- 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.