Accesos principales
Grupos de investigación
Últimas publicaciones del Departamento
Is K-fold cross validation the best model selection method for machine learning?
The Alpha-Beta Divergence for Real and Complex Data
AI-driven detection of tiny pests in foliage: Integrating image processing and deep learning
Iterative Optimal Combination of Information for Power Amplifiers Linearization: A Bayesian Approach
Beyond Synchrony: Non-Phase Gamma as a Candidate Mechanism for Perceptual Anti-Binding
Digital Predistortion Linearization Demystified: Insights You Always Wanted to Know but Were Too Linear to Ask
A Canonical Formulation of Volterra Series Regressors in Digital Predistortion
Artificial Intelligence in Emotional Induction: A VR and Electronic Music Approach
Mirror Descent and Exponentiated Gradient Algorithms Using Trace-Form Entropies
Independent component EEG analysis reveals spectral correlates of emotional and cognitive processing in immersive VR environments
Color Co-ocurrence Matrix based on Color Appearance Model CIECAM16. Application to Dermatological Images
Fourier Domain in the Analysis of Egyptian Textiles in Archeology
Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models
A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems
Simultaneous Analysis of Early Components P1 and N1 and Phase and Non-Phase Alpha Activities Associated with Word Recall
Development and Validation in Porcine and Human Models of a Bioimpedance Spectroscopy System for the Objective Assessment of Kidney Graft Viability
Decoupling Alpha Desynchronization from Neural Resource Use: Evidence from Cognitive Load Modulation
The Cognitive Load of a Task Suggests That Induced Alpha Desynchronization Is Not Directly Related to the Recruitment of Neural Resources
Complex Gaussian Processes for Regression and Their Connection to WLMMSE
Sparse Volterra-Based Models for I/Q Impairments and Nonlinear Distortion of Power Amplifiers
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