Enrique Fernandez Blanco

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Profesor Titular de Universidad (Associate Professor)

Universidade da Coruña

Spain

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About

Enrique Fernandez Blanco is an Associate Professor at Universidade da Coruña, Spain. His research areas include artificial intelligence applications in pediatrics, machine learning techniques for environmental management, and human activity recognition using smartphone sensor data. He has published recent articles focusing on harmful algal bloom prediction, optimization of wastewater characterization, and advanced methodologies in deep learning.

Recent Grants

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AXUDAS PARA A CONSOLIDACIÓN E ESTRUTURACIÓN DE UNIDADES DE INVESTIGACIÓN COMPETITIVAS.GRC

Open Date: 2019-01-01

Close Date: 2021-11-01

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Waterwatch

Open Date: 2016-01-01

Close Date: 2018-12-01

Grant: Close

Axudas para acreditación, estructuración e mellora de Centros de Investigación Singulares do Sistema Universitario de Galicia

Open Date: 2016-01-01

Close Date: 2019-11-01

Grant: Close

Contratación de los servicios técnicos e independientes por parte de un tercero para el desarrollo de herramientas de software y la ejecución de estudios in silico en el ámbito de la quimioteca de INNO-PHARMA

Open Date: 2015-07-01

Close Date: 2015-12-01

Grant: Close

Consolidacion y estructuración de unidades de investigación competitivas del Sistema universitario de Galicia.Grupo RNASA-IMEDIR

Open Date: 2014-10-01

Close Date: 2017-10-01

Articles (16)

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2021

Collaborators (4)

Miguel R. Luaces

Universidade da Coruña

SPAIN

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Daniel Rivero

Universidade da Coruña

SPAIN

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Alejandro Pazos Sierra

Profesor de Tercer Ciclo

Universidade da Coruña Facultade de Informática

SPAIN

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Daniel Carreres

Profesor Ayudante Doctor

Centro Universitario de la Defensa Zaragoza

SPAIN

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Enrique Fernandez Blanco

Research Interests

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About

Recent Grants

Articles (16)

Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring

Towards improved harmful algal bloom forecasts: A comparison of symbolic regression with DoME and stream learning performance

Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments

Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods

Artificial intelligence in paediatrics: Current events and challenges

Artificial intelligence in paediatrics: Current events and challenges

Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods

Deep learning models for real-life human activity recognition from smartphone sensor data

Hybrid machine learning techniques in the management of harmful algal blooms impact

New machine learning approaches for real-life human activity recognition using smartphone sensor-based data

FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs

DoME: A deterministic technique for equation development and Symbolic Regression

A review of artificial intelligence applied to path planning in UAV swarms

Machine learning in management of precautionary closures caused by lipophilic biotoxins

UAV swarm path planning with reinforcement learning for field prospecting

Detection of Chocolate Properties Using Near-Infrared Spectrophotometry

Collaborators (4)

Miguel R. Luaces

Daniel Rivero

Alejandro Pazos Sierra

Daniel Carreres

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