|  | Vol-3914 urn:nbn:de:0074-3914-X Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AIxIA-DC 2024
AIxIA Doctoral Consortium 2024

### Proceedings of the AIxIA Doctoral Consortium 2024
co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024)

### Bolzano, Italy, November 25-28, 2024.

Edited by

### Davide Bacciu *
Ivan Donadello **

* University of Pisa, Department of Computer Science, Pisa, Italy
** Free University of Bozen-Bolzano, Faculty of Engineering, Bolzano, Italy

## 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

2025-01-29: submitted by Ivan Donadello, metadata incl. bibliographic data published under Creative Commons CC0
2025-02-04: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|