Main Track Schedule

The conference will take place from 25th to 28th November 2024. Below you find schedule of the Main Track sessions for each day. See also the Schedule OverviewWorkshops ScheduleInvited Talks Tutorials, and Awards/Schools/Industry session pages.

Session 1 – Machine Learning and Deep Learning
10:30 – 12:30

Chair: Ivan Donadello

Hybrid Classification of European Legislation using Sustainable Development Goals
Michele Corazza, Franco M. T. Gatti, Salvatore Sapienza and Monica Palmirani
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
Combined Text-Visual Attention Models for Robot Task Learning and Execution
Giuseppe Rauso, Riccardo Caccavale and Alberto Finzi
HaWANet: Road Scene Understanding with Multi-modal Sensor Data using Height-Width-driven Attention Network
Soumick Chatterjee, Jiahua Xu, Adarsh Kuzhipathalil and Andreas Nürnberger
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
IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte and Simona Perri
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

Session 2 – NLP and AI Applications
13:30 – 15:30

Chair: Raffaella Bernardi

MM-IGLU-IT: Multi-Modal Interactive Grounded Language Understanding in Italian
Federico Borazio, Claudiu Daniel Hromei, Elisa Passone, Danilo Croce and Roberto Basili
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
DR-Minerva: a Multimodal Language Model based on Minerva for Diagnostic Information Retrieval
Irene Siragusa, Salvatore Contino and Roberto Pirrone
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
REPAIR platform: Robot-aidEd PersonAlIzed Rehabilitation
Christian Tamantini, Alessandro Umbrico and Andrea Orlandini
Neuro-symbolic Integration for Open Set Recognition in Network Intrusion Detection
Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi and Nathaniel D. Bastian

Planning and Explainable AI
10:30 – 12:30

Chair: Marco Roveri

NutriWell: an Explainable Ontology-Based FoodAI Service for Nutrition and Health Management
Berardina De Carolis, Davide Lofrese, Davide Di Pierro and Stefano Ferilli
An Extensive Empirical Analysis of Macro-Actions for Numeric Planning
Diaeddin Alarnaouti, Francesco Percassi and Mauro Vallati
Integrating Temporal Planning and Knowledge Representation to Generate Personalized Touristic Itineraries
Silvia Gola, Andrea Orlandini and Alessandro Umbrico
Integrating classical planners with GPT-based Planning Policies
Massimiliano Tummolo, Nicholas Rossetti, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli and Ivan Serina
Supporting Decision-Making for City Management through Automated Planning and Execution
Riccardo De Benedictis, Gloria Beraldo, Amedeo Cesta and Gabriella Cortellessa
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
Relating explanations with the inductive biases of Deep Graph Networks
Michele Fontanesi, Alessio Micheli and Marco Podda