A new publication in the lab. In this case, Alberto Nogales Moyano and Alvaro José García Tejedor have published a paper entitled: “A Deep Learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders” in the journal Expert systems with applications. […]
From the Master Thesis co-supervised by Alberto Nogales, a poster has arisen to be presented at IEEE International Symposium on Biomedical Imaging (ISBI) 2023. This work entitled “Automatic breast ultrasound bi-rads description model” continues with the application of Deep Learning […]
Journal “Computer Methods and Programs in Biomedicine” (Q1 in Computer Science) has accepted a paper entitled “Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity“. In this paper co-authored […]
First paper of the year published by Alvaro José García Tejedor and Alberto Nogales Moyano and co-authored with angiovascular surgeon Fernando Gallardo and former CEIEC intern Miguel Pajares Hernández. In this paper titled “A semiautomatic method for obtaining a predictive deep learning model and a rule-based system […]
CEIEC researchers Ana Maria Maitín, Alberto Nogales and Álvaro García Tejedor have published the article “EEGraph: An open-source Python library for modeling electroencephalograms using graphs” in the journal Neurocomputing. This article describes the EEGraph Python library which allows modeling electroencephalograms […]
CEIEC has submitted a poster to the WiMLDS (Women in Machine Learning and Data Science) 21st conference, to discuss the many ways in which data can be used for good, and the use of Machine Learning and Data Analysis for […]
A new of our papers has been accepted by the Food Control journal (Q1). CEIEC researchers Alvaro José García Tejedor and Alberto Nogales Moyano with the collaboration of Marçal Mora Cantallops from Universidad de Alcalá and former researcher Rodrigo Díaz […]
We have a new publication, in this case, we have used BERT, a well-known model in Natural Language Processing, to diagnose Parkinson’s. This is the first time that BERT has been adapted to manage brain signals obtaining accuracies near to […]
CEIEC has submitted a poster to the MDS conference on a biomarker based on natural language processing methods to detect the stages of Parkinson’s disease through the use of electroencephalograms.
The UFV has signed an agreement with ADAMO Robot to carry out activities that promote the creation of new training projects, research, internships, employment and transfer of research results. Finding new treatments for musculoskeletal pain has become a priority and […]