Doctoral Consortium

The Doctoral Consortium is a great opportunity for young talents to present to the community the preliminary result of their work. It takes place on Monday 28 in the plenary room. The detailed program can be found below, with links to the visual abstracts of each talk.

Monday 28 (Plenary room)

ChairRiccardo De Benedictis
9:00Francesco Taverna (Università degli Studi di Udine)
Waste collection with EVs: a preliminary report
9:15Nicola Saccomanno (University of Udine), Andrea Brunello (University of Udine), Angelo Montanari (University of Udine)
Towards Learning an Optimal Metric for Fingerprint-based Localization
9:30Roberto Maria Rosati (Università di Udine)
Reinforcement Learning for Multi-Neighborhood Metaheuristics
9:45Francesca Da Ros (Università degli Studi di Udine)
A Research Proposal toward Metaheuristics Explainability and Comparability
10:00Luca Giuliani (University of Bologna)
Integrated Methodologies for Optimization, Constraint Reasoning and Machine Learning
10:15Carlo Adornetto (University of Calabria), Gianluigi Greco (Università della Calabria, Italy)
A New Deep Learning and XAI Based Algorithm for Features Selection in Genomics
10:30Eleonora Mancini (University of Bologna)
Data Representation, Fusion and Explainability in Multimodal Deep Learning for Natural Language Processing
10:45Coffee break
11:15Matteo Cardellini (Università degli Studi di Genova)
An ASP Framework for Efficient Urban Traffic Optimization
11:30Marco Mochi (University of Genoa)
Planning and Scheduling in Digital Health with Answer Set Programming
11:45Mario A Prado Romero (Gran Sasso Science Institue)
Generating Better Graph Counterfactual Explanations
12:00Benedetta Flammini (Politecnico di Milano)
Modelling Other Agents: a MAPD Variant for a Team of Guest Robots
12:15Andrea Santomauro (Università del Piemonte Orientale)
A multimodal approach to automated generation of radiology reports using contrastive learning
12:30Erica Coppolillo (University of Calabria), Simone Mungari (Università della Calabria), Marco Minici (Cnr)
Algorithmic Radicalization: A Simulation Framework to study the effects of Recommender Systems
14:00KT 1 - Tutorial - Ferdinando Fioretto
ChairKevin Roitero
16:15Giuseppe Spillo (Università degli Studi di Bari "Aldo Moro")
Knowledge-aware Recommendation Algorithms Combining Graph and Word Embeddings
16:30Gioacchino Sterlicchio (Polytechnic of Bari)
Declarative Contrast Pattern Mining for Evidence Analysis
16:45Muhammad Suffian (University of Urbino Carlo Bo)
Explainable Artificial Intelligence: A Human-centered Perspective
17:00Davide Di Pierro (Università degli Studi di Bari)
Reconciliation of LPG and RDF for Reasoning with Graph Databases
17:15Alessandro Abluton (University of Turin)
Visual Recommendation and Visual Search for Fashion E-Commerce
17:30Patrizio Bellan (Fondazione Bruno Kessler, Free University of Bozen-Bolzano)
Business Process Model Extraction from Documents Using In-Context Learning