activity
20192024
most citedQ-Learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments

88 citations · 244 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2024★ 15 cited

Hybrid Machine Learning techniques in the management of harmful algal blooms impact

Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz +2

Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filte…

cs.AI2024★ 6 cited

Machine Learning in management of precautionary closures caused by lipophilic biotoxins

Andres Molares-Ulloa, Enrique Fernandez-Blanco, Alejandro Pazos +1

Mussel farming is one of the most important aquaculture industries. The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption. In Galic…

cs.AI2023★ 88 cited

Q-Learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments

Alejandro Puente-Castro, Daniel Rivero, Eurico Pedrosa +3

Path Planning methods for autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise because of all the advantages they bring. There are more and more scenarios whe…

cs.LG2021

Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring

Enrique Fernandez-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos +1

Over the years, several approaches have tried to tackle the problem of performing an automatic scoring of the sleeping stages. Although any polysomnography usually collects over a…

cs.MA2021★ 67 cited

UAV Swarm Path Planning with Reinforcement Learning for Field prospecting

Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos +1

Unmanned Aerial Vehicle (UAV) swarms adoption shows a steady growth among operators due to the benefits in time and cost arisen from their use. However, this kind of system faces a…

cs.LG2021★ 44 cited

Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal

Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos

Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of…