Proceedings and Journal Special Issue

NON-original Contributions

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

• Linda Cademartori, Giuseppe Galatà , Carola Lo Monaco, Marco Maratea, Marco Mochi and Marco Schouten. An ASP-based Approach to Master Surgical Scheduling

• Marianna Inglese, Matteo Ferrante, Andrea Duggento, Tommaso Boccato and Nicola Toschi. Spatiotemporal learning of dynamic Positron Emission Tomography data improves diagnostic accuracy in breast cancer

• Lucia Migliorelli, Francesco Alborino, Lorenzo Scoppolini Massini, Daniele Berardini, Michela Coccia, Laura Villani, Emanuele Frontoni and Sara Moccia. End-to-end facial-landmark detection to assess dysarthria evolution

• Alessio Bottrighi, Federica Grosso, Marco Ghiglione, Antonio Maconi, Luca Piovesan, Annalisa Roveta and Paolo Terenziani. GLARE-Edu: A CIG-based approach for medical education

• Marco Colussi, Gabriele Civitarese, Dragan Ahmetovic, Claudio Bettini, Roberta Gualtierotti, Flora Peyvandi and Sergio Mascetti. Ultrasound Detection of Subquadricipital Recess Distension

• Matteo Ferrante, Tommaso Boccato and Nicola Toschi. BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks

• Roberto Zanoli, Alberto Lavelli and Fabio Rinaldi. An annotated dataset for extracting gene-melanoma relations from scientific literature

• Tommaso Boccato, Matteo Ferrante, Andrea Duggento and Nicola Toschi. Converting Biologically Plausible Networks into Trainable Neural Architectures

• Davide Colla, Matteo Delsanto, Marco Agosto, Benedetto Vitiello and Daniele P. Radicioni. Semantic Coherence Markers for the Early Diagnosis of the Alzheimer Disease

• Francesca Pia Villani, Sara Moccia and Emanuele Frontoni. Towards computer-assisted laryngoscopy for diagnostic support

• Andrea Duggento, Mario de Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza and Nicola Toschi. An Intertwined Neural Network model for EEG classification

• Andrea Bernardini, Andrea Brunello, Gian Luigi Gigli, Angelo Montanari and Nicola Saccomanno. AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning

• Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco and Sara Moccia. Some ethical remarks on Deep Learning-based movements monitoring for preterm infants: Green AI or Red AI?

Journal Special Issue

TBA

The organizers are considering the possibility of having workshop post-proceedings appearing in a special issue of an international journal.

Details TBA.