Applications of Artificial Intelligence and Neural Systems to Data Science

Anna Esposito received her Laurea degree summa cum laude in Information Technology and Computer Science from Salerno University (1989) and the Ph.D. degree in Applied Mathematics and Computer Science from Napoli University Federico II (1995) with a thesis developed at MIT, Boston, USA. She was Postdoc at IIASS, Lecturer at Salerno University in Department of Physics (1996-2000), and Research Professor (2000-2002) at WSU in Department of Computer Science and Eng., OH, USA. She is Full  Professor at Campania University “L. Vanvitelli”. She is author of  300+ peer-reviewed publications in journals, books, and conference proceedings and editor-coeditor of 30+ books in the Springer series SIST, ISRL, LNCS and LNAI. Marcos Faundez-Zanuy received the B.Sc. degree (1993) and the Ph.D. degree (1998), both from the Polytechnic University of Catalunya. He is Full Professor at ESUP Tecnocampus Mataro and heads the Signal Processing Group. His research interests lie in biometrics applied to security and health. He was Initiator and Chairman of the EU COST action 277 “Nonlinear speech processing” and Secretary of COST action 2102 “Cross-Modal Analysis of Verbal and Non-Verbal Communication”. He is author of 50+ papers indexed in ISI Journal citation report, 100+ conference papers, 10+ books, and PI of 10 national and EU funded projects. Francesco Carlo Morabito joined the University of Reggio Calabria, Italy, in 1989 where he is a Full Professor (2001) of Electrical Engineering. He served as President of the Electronic Engineering Course, as Member of the University’s Inner Evaluation Committee, as Dean of the Faculty of Engineering, as Deputy Rector, and as Vice Rector for Internationalization. He is Member of the Steering Committee of the Italian Society of Electrical Engineering. He served as President of Siren(2008-2014), as a Governor of INNS (2000-2012, 2022-) and is Vice-President of INNS. Eros G. Pasero is Professor of Electronics at Politecnico of Turin since 1991. He was Visiting Professor at ICSI Berkeley (1991), Tongji University, Shanghai (2011, 2015), and Tashkent Politechic University, Uzbekistan. His interests are in Artificial Neural Networks and Electronic Sensors. He heads the Neuronica Lab (1990) where wired and wireless sensors are developed for biomedical, environmental, automotive applications, and sensor signals that are processed by neural networks. Prof. Pasero is President of the Italian Society for Neural Networks (SIREN) and was General Chair of IJCNN2000, SIRWEC2006, and WIRN 2015. He received several awards and holds 5 international patents. He supervised 10 international Ph.D. and 100 master’s theses and is Author of 100+ international publications.

1.Michele Scarpiniti, Edoardo Massaro, Danilo Comminiello and Aurelio Uncini: Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture2.Kamyar Zeinalipour and Marco Gori: Graph Neural Networks for Topological Feature Extraction in ECG Classification3.Francesco Camastra, Angelo Casolaro and Gennaro Iannuzzo: Manifold Learning by a Deep Gaussian Process Variational Autoencoder4.Marcos Faundez-Zanuy, Anna Faura-Pujol, Hector Montalvo-Ruiz, Alexia Losada-Fors, Pablo Genovese and Pilar Sanz-Cartagena: Analysis of Sensors for Movement Analysis5.Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna and Eros Pasero: Dual Seep Clustering6.Vincenzo Randazzo, Gaia Marchetti, Carla Giustetto, Erica Gugliermina, Rahul Kumar, Giansalvo Cirrincione, Fiorenzo Gaita and Eros Pasero: Learning-Based Approach to Predict Fatal Events in Brugada Syndrome7.Francesco Prinzi, Marco Insalaco, Salvatore Gaglio and Salvatore Vitabile: Breast Cancer Localization and Classification in Mammograms Using YoloV58.Jonathan Melchiorre, Marco Martino Rosso, Raffaele Cucuzza, Emanuela D'Alto, Amedeo Manuello Bertetto and Giuseppe Carlo Marano: Deep Acoustic Emission Detection Trained on Seismic Signals9.Elena Sibilano, Michael Lassi, Alberto Mazzoni, Vitoantonio Bevilacqua and Antonio Brunetti: A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer's Disease Using Resting-State EEG signals10.Giovanni Di Gennaro, Amedeo Buonanno, Francesco Verolla, Giovanni Fioretti, Francesco A. N. Palmieri, and Krishna R. Pattipati: Imitation Learning Through Prior Injection in Markov Decision Processes  11.Giovanni Di Gennaro, Amedeo Buonanno, Marilena Baldi, Enzo Capoluongo, and Francesco A.N. Palmieri: Vision-Based Human Activity Recognition Methods Using Pose Estimation12.Stefano Fiscale, Laura Inno, Angelo Ciaramella, Alessio Ferone, Alessandra Rotundi, Pasquale De Luca, Ardelio Galletti, Livia Marcellino and Giovanni Covone: Identifying Exoplanets in TESS Data by Deep Learning13.Vincenzo Bevilacqua, Antonio Di Marino, Angelo Ciaramella, Anastasia Angela Biancardi, Giorgio Budillon, Paola de Ruggiero, Emanuele Della Volpe, Luigi Gifuni, Danilo Mascolo, Stefano Pierini and Enrico Zambianchi: Computational Intelligence for Marine Litter Recovery14.Alessio Ferone, Marco Lazzaro, Vincenzo Mariano Scarrica, Angelo Ciaramella and Antonino Staiano: A Synthetic Dataset for Learning Optical Flow in Underwater Environment15.Giorgia Ghione, Marta Lovino, Elisa Ficarra and Giansalvo Cirrincione: An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification16.Michele Fedrizzi and Silvio Giove: Competence-Based Coalition Choice, a Non-Additive Approach17.Michele La Rocca, Cira Perna, Marilena Sibillo and Antonio Vignes: Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data.18.Michele Scarpiniti, Edoardo Bini, Marco Ferraro, Alessandro Giannetti, Danilo Comminiello, Yong-Cheol Lee and Aurelio Uncini: Leaky Echo State Network for Audio Classification in Construction Sites19.Sidhant Kumar, Vijayeskar Kumar, Krishnil Ram, Michael Wood, Giansalvo Cirrincione and Rahul Kumar: ECG Signal Classification Using Long-Short-Term-Memory Neural Networks20.Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Umberto Aguglia, Danilo Mandic and Francesco Carlo Morabito: A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures vs Psychogenic Non-Epileptic Seizures and Control Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings21.Nicola Camatti, Andrea Ellero and Paola Ferretti: Commerce Districts: Conditions for Customer Overall Satisfaction in a Multi-Attribute Framework22.Andrea Ellero, Paola Ferretti, and Elena Zocchia: Problematic Merging and Cartels: A Collusion Risk Factors Analysis