Applications of Artificial Intelligence and Neural Systems to Data Science

Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture.-&nbsp; Graph Neural Networks for Topological Feature Extraction in ECG Classification.-&nbsp;Manifold Learning by a Deep Gaussian Process Variational Autoencoder.-&nbsp;Analysis of Sensors for Movement Analysis.-&nbsp;Dual Seep Clustering.-&nbsp;Learning-Based Approach to Predict Fatal Events in Brugada Syndrome.-&nbsp;Breast Cancer Localization and Classification in Mammograms Using YoloV5.-&nbsp;Deep Acoustic Emission Detection Trained on Seismic Signals.-&nbsp;&nbsp;A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer’s Disease Using Resting-State EEG signals.-&nbsp;Imitation Learning Through Prior Injection in Markov Decision Processes.-&nbsp;Vision-Based Human Activity Recognition Methods Using Pose Estimation.-&nbsp;Identifying Exoplanets in TESS Data by Deep Learning.-&nbsp;Computational Intelligence for Marine Litter Recovery.-&nbsp;A Synthetic Datasetfor Learning Optical Flow in Underwater Environment.-&nbsp;An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification.<div><br></div>