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 satisfaction for 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.