1 code implementation • 20 Feb 2024 • Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernandez-Blanco
High biomass of toxin-producing algae such as DSP are known as Harmful Algal Blooms (HABs).
no code implementations • 14 Feb 2024 • Andres Molares-Ulloa, Enrique Fernandez-Blanco, Alejandro Pazos, Daniel Rivero
The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption.
1 code implementation • 14 Feb 2024 • Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz, Enrique Fernandez-Blanco, Luis de-la-Fuente-Valentín
Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption.
no code implementations • 30 Mar 2023 • Alejandro Puente-Castro, Daniel Rivero, Eurico Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernandez-Blanco
Regardless of the size of the map or the number of UAVs in the swarm, the goal of these paths is to ensure complete coverage of an area with fixed obstacles for tasks, like field prospecting.
no code implementations • 23 Jul 2021 • Enrique Fernandez-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero
Over the years, several approaches have tried to tackle the problem of performing an automatic scoring of the sleeping stages.
1 code implementation • 18 May 2021 • Alejandro Puente-Castro, Enrique Fernandez-Blanco, Alejandro Pazos, Cristian R. Munteanu
There are two main conclusions to be drawn from this work: first, the damages related to AD and its stages can be distinguished in sagittal MRI and, second, the results obtained using DL models with sagittal MRIs are similar to the state-of-the-art, which uses the horizontal-plane MRI.
no code implementations • 30 Mar 2021 • Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos
This process is carried out manually, which can be highly time-consuming and very prone to annotation errors.
no code implementations • 16 Aug 2019 • Daniel Rivero, Enrique Fernandez-Blanco
This paper describes a new method for Symbolic Regression that allows to find mathematical expressions from a dataset.
no code implementations • 21 Jun 2019 • Daniel Rivero, Enrique Fernandez-Blanco, Alejandro Pazos
However, results show that the system is able to return accurate representations and predictions in unseen data.
no code implementations • 10 Apr 2019 • Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, Alejandro Pazos
Traditionally, signal classification is a process in which previous knowledge of the signals is needed.
no code implementations • 10 Apr 2019 • Carlos Fernandez-Lozano, Ruben F. Cuinas, Jose A. Seoane, Enrique Fernandez-Blanco, Julian Dorado, Cristian R. Munteanu
Signaling proteins are an important topic in drug development due to the increased importance of finding fast, accurate and cheap methods to evaluate new molecular targets involved in specific diseases.
no code implementations • 9 Apr 2019 • Enrique Fernandez-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julian Dorado
One of the main problems in the development of this technique is the slow performance of the full process.