407 citations
- Universidad de GranadaES24 papers
- Instituto de Astrofísica de AndalucíaES13 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Universidad de ZaragozaES11 papers
- Special Astrophysical ObservatoryRU8 papers
- University of the Basque CountryES7 papers
- Aryabhatta Research Institute of Observational SciencesIN6 papers
- Czech Academy of Sciences, Astronomical InstituteCZ6 papers
- Goddard Space Flight CenterUS6 papers
- Universidade da CoruñaES6 papers
- Universidade de São PauloBR6 papers
- KTH Royal Institute of TechnologySE5 papers
49 papers · 1 filter
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
Feijoo Colomine Durán, Carlos Cotta, Antonio J. Fernández-Leiva
We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality…
Implementation of tools for lessening the influence of artifacts in EEG signal analysis
Mario Molina-Molina, Lorenzo J. Tardon, Ana M. Barbancho +1
This manuscript describes and implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and proce…
Building music with Lego bricks and Raspberry Pi
Ana M. Barbancho, Lorenzo J. Tardon, Isabel Barbancho
In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that tec…
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification
Isaac Ariza, Ana M. Barbancho, Lorenzo J. Tardon +1
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning,…
Enhanced average for event-related potential analysis using dynamic time warping
Mario Molina, Lorenzo J. Tardon, Ana M. Barbancho +2
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often us…
Bi-LSTM neural network for EEG-based error detection in musicians' performance
Isaac Ariza, Lorenzo J. Tardon, Ana M. Barbancho +2
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal proces…