AIxIA 2024 – Advances in Artificial Intelligence

.- 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.