AIxIA-DC 2024
AIxIA Doctoral Consortium 2024

Table of Contents

• Preface
  Summary: There were 17 papers submitted. Out of these, 10 papers were accepted for this volume as short papers.

• Learning Heuristics with Graph Neural Networks for Numeric Planning: A Preliminary Study (Short paper)
  Valerio Borrelli, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina
• Taxonomy Enrichment: A Framework for Automatic Updates and Labor Market Analysis (Short paper)
  Alessia De Santo
• Augmenting Persuasive Argument Datasets using Large Language Models (Short paper)
  Renan Lirio de Souza, Mauro Dragoni
• Leveraging Human Pose Estimation to improve Health Recommender Systems (Short paper)
  Gaetano Dibenedetto
• Detecting Stereotyped Representations of Words within Language Models Embedding Space (Short paper)
  Michele Dusi
• Exposing Inductive Biases of Deep Graph Networks through Explainable AI (Short paper)
  Michele Fontanesi, Alessio Micheli, Marco Podda
• Modeling personalised treatments for intensive care patients using Dynamic Bayesian Networks (Short paper)
  Federico Pirola
• Computational Methods for a Customised Positive Mood-Supporting System Based on Multi-Sensorial Stimuli (Short paper)
  Claudia Rabaioli
• Towards Emotionally Aware AI: Challenges and Opportunities in the Evolution of Multimodal Generative Models (Short paper)
  Matteo Spanio
• A Probabilistic Semantics for Process Mining (Short paper)
  Michela Vespa