=Paper= {{Paper |id=Vol-3914/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-3914/preface.pdf |volume=Vol-3914 }} ==None== https://ceur-ws.org/Vol-3914/preface.pdf
                         Preface to the Proceedings of the Doctoral Consortium
                         AIxIA 2024
                         Davide Bacciu1 , Ivan Donadello2
                         1
                             University of Pisa, Department of Computer Science, Pisa, Italy
                         2
                             Free University of Bozen-Bolzano, Faculty of Engineering, Bolzano, Italy



                            The AIxIA Doctoral Consortium (DC) was offered as part of the Conference of the Italian Association
                         for Artificial Intelligence (AIxIA) that took place in Bolzano, Italy on November 25-28, 2024. The DC
                         provided an opportunity for PhD students to explore and develop their research interests in the Artificial
                         Intelligence field, in the broader sense, under the guidance of a panel of distinguished researchers
                         from both academia and industry. Attending students had the opportunity to present their work in a
                         dedicated poster session during the conference. We thank the reviewers and the mentors who agreed to
                         read the papers and offered their time to discuss the projects presented by the DC participants:

                                 • Marco Baioletti
                                 • Pierpaolo Basile
                                 • Raffaella Bernardi
                                 • Stefano Borgo
                                 • Francesco Calimeri
                                 • Paolo Ceravolo
                                 • Antonio Chella
                                 • Alessandro Cimatti
                                 • Francesco Corcoglioniti
                                 • Flavio S. Correa Da Silva
                                 • Luca Cosmo
                                 • Massimiliano de Leoni
                                 • Francesco M. Donini
                                 • Mauro Dragoni
                                 • Federico Errica
                                 • Alberto Finzi
                                 • Valeria Fionda
                                 • Mattia Fumagalli
                                 • Fabio Gasparetti
                                 • Francesca Gasparini
                                 • Chiara Ghidini
                                 • Nicola Gigante
                                 • Laura Giordano
                                 • Oliver Kutz
                                 • Francesca Alessandra Lisi
                                 • Alessio Micheli
                                 • Angelo Montanari
                          Doctoral Consortium AIxIA 2024, November 25–28, 2024, Bolzano, Italy
                          " davide.bacciu@unipi.it (D. Bacciu); Ivan.Donadello@unibz.it (I. Donadello)
                          ~ https://pages.di.unipi.it/bacciu/ (D. Bacciu);
                          https://www.unibz.it/it/faculties/engineering/academic-staff/person/45237-ivan-donadello (I. Donadello)
                           0000-0001-5213-2468 (D. Bacciu); 0000-0002-0701-5729 (I. Donadello)
                                        © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
    • Marco Polignano
    • Riccardo Rasconi
    • Andrea Roli
    • Andrea Rosani
    • Salvatore Ruggieri
    • Enrico Scala
    • Luciano Serafini
    • Fabio Stella
    • Sergio Tessaris
    • Floriano Zini


1. DC Paper Award
Moreover, the DC Paper award was conferred on the authors of the Doctoral Consortium best papers
who distinguished themselves in their poster presentation. One students were selected and received the
award:

    • Gaetano Dibenedetto, Leveraging Human Pose Estimation to improve Health Recommender Systems