Repositorio Institucional de la Universidad de Oviedo

Mostrando ítems 1-20 de 24

Data imputation in the frequency domain using echo state networks

Sánchez Ramos, Luciano; Costa Cortéz, Nahuel Alejandro; Couso Blanco, Inés (2025)
Data-Driven Diagnosis of PV-Connected Batteries: Analysis of Two Years of Observed Irradiance

Dubarry, M.; Yasir, F.; Costa Cortéz, Nahuel Alejandro; Matthews, D. (2023)
Data-driven direct diagnosis of li-ion batteries connected to photovoltaics

Dubarry, M.; Costa Cortéz, Nahuel Alejandro; Matthews, D. (2023)
Diagnóstico de la Fibrilación Auricular mediante el análisis inteligente de registros intracardiacos

Costa Cortéz, Nahuel Alejandro (2021-01-26)
Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings

Pérez Capellán, Lucas; Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2023)
Enhancing time series anomaly detection using discretization and word embeddings

Pérez Capellán, Lucas; Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2023)
Estudio del impacto ambiental del coche eléctrico

Díaz Piñera, Ignacio (2024-02-14)
Explainable condition monitoring from imprecise information

Costa Cortéz, Nahuel Alejandro (2023-02-21)
Few-shot generative compression approach for system health monitoring

Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2025)
Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

Costa Cortéz, Nahuel Alejandro; Fernández Cortés, Jesús; Couso Blanco, Inés; Sánchez Ramos, Luciano (2020)
ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

Costa Cortéz, Nahuel Alejandro; Anseán González, David; Dubarry, M.; Sánchez Ramos, Luciano (2024)
Informed weak supervision for battery deterioration level labeling

Sánchez Ramos, Luciano; Costa Cortéz, Nahuel Alejandro; Anseán González, David; Couso Blanco, Inés (2022)
Integrating imprecise data in generative models using interval-valued Variational Autoencoders

Sánchez Ramos, Luciano; Costa Cortéz, Nahuel Alejandro; Couso Blanco, Inés; Strauss, Olivier (2025)
Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment

Sánchez Ramos, Luciano; Costa Cortéz, Nahuel Alejandro; Otero Rodríguez, José; Anseán González, David; Couso Blanco, Inés (2023)
Li-ion battery degradation modes diagnosis via convolutional neural networks

Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano; Anseán González, David; Dubarry, M. (2022)
Physics-informed learning under epistemic uncertainty with an application to system health modeling

Sánchez Ramos, Luciano; Costa Cortéz, Nahuel Alejandro; Otero Rodríguez, José; Couso Blanco, Inés (2023)
Rapidae: a python library for creation, experimentation, and benchmarking of autoencoder models

Costa Cortéz, Nahuel Alejandro; Pérez Capellán, Lucas; Sánchez Ramos, Luciano (2024)
Recurrent variational autoencoder approach for remaining useful life estimation

Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2023)
Remaining useful life estimation using a recurrent variational autoencoder

Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2021)
RUL-RVE: interpretable assessment of Remaining Useful Life

Costa Cortéz, Nahuel Alejandro; Sánchez Ramos, Luciano (2022)