Applications of Artificial Intelligence and Neural Systems to Data Science

Applications of Artificial Intelligence and Neural Systems to Data Science

Faundez-Zanuy, Marcos; Pasero, Eros; Esposito, Anna; Morabito, Francesco Carlo

Springer Verlag, Singapore

08/2024

360

Mole

9789819935949

15 a 20 dias

Descrição não disponível.
Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture.- Graph Neural Networks for Topological Feature Extraction in ECG Classification.- Manifold Learning by a Deep Gaussian Process Variational Autoencoder.- Analysis of Sensors for Movement Analysis.- Dual Seep Clustering.- Learning-Based Approach to Predict Fatal Events in Brugada Syndrome.- Breast Cancer Localization and Classification in Mammograms Using YoloV5.- Deep Acoustic Emission Detection Trained on Seismic Signals.- A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer's Disease Using Resting-State EEG signals.- Imitation Learning Through Prior Injection in Markov Decision Processes.- Vision-Based Human Activity Recognition Methods Using Pose Estimation.- Identifying Exoplanets in TESS Data by Deep Learning.- Computational Intelligence for Marine Litter Recovery.- A Synthetic Datasetfor Learning Optical Flow in Underwater Environment.- An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification.
Machine Leaning Methods;User Modelling;Neural Networks;Artificial Intelligence;Situated Human-Computer Interaction (HCI);Biometric Data;Social Signal processing;Social Behaviour and Context;Complex Human-Computer Interfaces