Accepted Papers

IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte and Simona Perri

ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality
Federico Sabbatini and Roberta Calegari

Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors
Federico Sabbatini and Roberta Calegari

An Extensive Empirical Analysis of Macro-Actions for Numeric Planning
Diaeddin Alarnaouti, Francesco Percassi and Mauro Vallati

A Novel Approach for Leveraging Agent-based Experts on Large Language Models to Enable Data Sharing among Heterogeneous IoT Devices in Agriculture
Nur Arifin Akbar, Domenico Tegolo and Biagio Lenzitti

Probabilistic Traces in Declarative Process Mining
Michela Vespa, Elena Bellodi, Federico Chesani, Daniela Loreti, Paola Mello, Evelina Lamma, Anna Ciampolini, Marco Gavanelli and Riccardo Zese

MM-IGLU-IT: Multi-Modal Interactive Grounded Language Understanding in Italian
Federico Borazio, Claudiu Daniel Hromei, Elisa Passone, Danilo Croce and Roberto Basili

Hybrid Classification of European Legislation using Sustainable Development Goals
Michele Corazza, Franco M. T. Gatti, Salvatore Sapienza and Monica Palmirani

Evaluating ASR Performance Under Acoustic Challenges: A Multilingual Analysis
Sergei Katkov, Antonio Liotta and Alessandro Vietti

Automating Resume Analysis: Knowledge Graphs via Prompt Engineering
Giorgio Lazzarinetti, Sara Manzoni and Italo Zoppis

Feature selection on contextual embedding pushing the sparseness
Stefano Bistarelli and Marco Cuccarini

Integrating classical planners with GPT-based Planning Policies
Massimiliano Tummolo, Nicholas Rossetti, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli and Ivan Serina

DR-Minerva: a Multimodal Language Model based on Minerva for Diagnostic Information Retrieval
Irene Siragusa, Salvatore Contino and Roberto Pirrone

Relating explanations with the inductive biases of Deep Graph Networks
Michele Fontanesi, Alessio Micheli and Marco Podda

Combined Text-Visual Attention Models for Robot Task Learning and Execution
Giuseppe Rauso, Riccardo Caccavale and Alberto Finzi

Integrating Temporal Planning and Knowledge Representation to Generate Personalized Touristic Itineraries
Silvia Gola, Andrea Orlandini and Alessandro Umbrico

REPAIR platform: Robot-aidEd PersonAlIzed Rehabilitation
Christian Tamantini, Alessandro Umbrico and Andrea Orlandini

On Different Symbolic Music Representations for Algorithmic Composition Approaches based on Neural Sequence Models
Felix Schön and Hans Tompits

Regular Clocks for Temporal Task Specifications in Reinforcement Learning
Giuseppe De Giacomo, Marco Favorito and Fabio Patrizi

Neuro-symbolic Integration for Open Set Recognition in Network Intrusion Detection
Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi and Nathaniel D. Bastian

HaWANet: Road Scene Understanding with Multi-modal Sensor Data using Height-Width-driven Attention Network
Soumick Chatterjee, Jiahua Xu, Adarsh Kuzhipathalil and Andreas Nürnberger

NutriWell: an Explainable Ontology-Based FoodAI Service for Nutrition and Health Management
Berardina De Carolis, Davide Lofrese, Davide Di Pierro and Stefano Ferilli

A Real-Time Support with Haptic Feedback for Safer Driving using Monocular Camera
Giorgio De Magistris, Lorenzo Guercio, Francesco Starna, Samuele Russo, Natalia Kryvinska and Christian Napoli

Supporting Decision-Making for City Management through Automated Planning and Execution
Riccardo De Benedictis, Gloria Beraldo, Amedeo Cesta and Gabriella Cortellessa