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 /
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 sele...
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| מחברים אחרים: | , , |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| מהדורה: | 1st ed. 2025. |
| סדרה: | Lecture Notes in Artificial Intelligence,
15450 |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-031-80607-0 |
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| 505 | 0 | |a -- 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. | |
| 520 | |a 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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| 700 | 1 | |a Montali, Marco. |e editor. |0 (orcid)0000-0002-8021-3430 |1 https://orcid.org/0000-0002-8021-3430 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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