Proceedings

Non-Original Contributions

Besides all original papers, HC@AIxIA 2023 featured the presentation of some additional non-original works, i.e., works appeared or submitted somewhere else, as detailed below: 

• Matteo Ferrante, Tommaso Boccato, Nicola Toschi: Brain Captioning: Decoding Human Brain Activity into images and Text

• Lorenzo Peracchio, Giovanna Nicora, Riccardo Bellazzi: Evaluation of Machine Learning Predictions’ Reliability with Generative Models: Towards Trustworthy AI

• Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri: Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming

• Simone Caruso, Carmine Dodaro, Giuseppe Galatà, Marco Maratea: Scheduling Periodic Treatments via Answer Set Programming

• Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger: Sinogram Upsampling Using Primal–Dual UNet for Undersampled CT and Radial MRI Reconstruction

• Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger: MICDIR: Multi-Scale Inverse-Consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent

• Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Aprile, Alessandro Maolo, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia: A Federated Learning Framework for Stenosis Detection

• Davide Chicco, Riccardo Haupt, Alberto Garaventa, Paolo Uva, Roberto Luksch, Davide Cangelosi: Computational Intelligence Analysis of High-Risk Neuroblastoma Patient Health Records Reveals Time to Maximum Response as One of the Most Relevant Factors for Outcome Prediction

• Alessio Zanga, Alice Bernasconi, Peter Lucas, Johanna Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella: The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study

• Eugenio Vocaturo, Matteo Avolio, Antonio Fuduli, Ester Zumpano: Viral Pneumonia Images Classification by Multiple Instance Learning: Preliminary Results

• Sciaraffa Nicolina, Gianluca Di Flumeri, Daniele Germano, Andrea Giorgi, Antonio Di Floro, Gianluca Borghini, Alessia Vozzi, Vincenzo Ronca, Fabio Babiloni, Pietro Aricò: Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces

• Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi: Breaking the Structure of Multilayer Perceptrons with Complex Topologies

• Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini, Davide Chicco: Exploratory Analysis of Longitudinal Data of Patients with Dementia through Unsupervised Techniques