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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| Соавтор: | |
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| Другие авторы: | , , |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Редактирование: | 1st ed. 2025. |
| Серии: | Lecture Notes in Artificial Intelligence,
15450 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-80607-0 |
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Оглавление:
- -- 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.