AIxIA 2023 - Advances in Artificial Intelligence

Argumentation and Logic Programming .- ABALearn: An automated logic-based learning system for ABA frameworks.- Deriving Dependency Graphs from Abstract Argumentation Frameworks.- ReConf: An Automatic Context-based Software Reconfiguration Tool for Autonomous Vehicles using Answer-Set Programming.- Mining contrast sequential patterns with ASP.- Ontologies .- An ontological modelling of reason-based preferences.- A Defeasible Description Logic for Abduction.- Ontology-based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry.- Planning .- A Structure-Sensitive Translation from Hybrid to Numeric Planning.- Intrinsically Motivated High-Level Planning for Agent Exploration.- Natural Language Processing .- Mining Argument Components in Essays at Different Levels.- Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations.- Scaling Large Language Models to the Extreme: Neural Semantic Processing of Multiple Tasks in Italian.- Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements.- Machine Learning .- CENTAURO: an Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.- Toward Novel Optimizers: A Moreau-Yosida View of Gradient-based Learning.- Mastering the Card Game of Jaipur through Zero-knowledge Self-Play Reinforcement Learning and Action Masks.- Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups.- A multi-label classification study for the prediction of long-covid syndrome.- PAUL-2: An Upgraded Transformer-Based Redesign of the Algorithmic Composer PAUL.- Robotics and Perception .- Understanding the Effect of Deep Ensembles in LiDAR-based Place Recognition.- Enanching LiDAR performance: Robust De-skewing Exclusively Relying o n Range Measurements.- Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study.- Embedding Shepard's Interpolation into CNN Models for Unguided Depth Completion.- Performance evaluation of depth completion neural networks for various RGB-D camera technologies in indoor scenario.- Hybrid AI .- Inference in Probabilistic Answer Set Programming under the Credal Semantics.- Efficient Modal Decision Trees.- Clique-TF-IDF: A New Partitioning Framework based on Dense Substructures.- Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language.- Applications of AI .- Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings.- Combining genetic algorithms and temporal constraint satisfactionfor recommending personalized tourist itineraries.- Towards Automatic Digitalization of Railway Engineering Schematics.- Election Manipulation in Social Networks with Single-Peaked Agents.- Learning to Prompt in the Classroom to Understand AI Limits: A pilot study.