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Diagnosis of the sleep apnea-hypopnea syndrome : a comprehensive approach through an intelligent system to support medical decision 

Álvarez-Estévez, Diego (2012)
[Abstract] This doctoral thesis carries out the development of an intelligent system to support medical decision in the diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS). SAHS is the most common disorder within those ...
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Information Fusion and Ensembles in Machine Learning 

Seijo Pardo, Borja (2019)
[Abstract] Traditionally, machine learning methods have used a single learning model to solve a particular problem. However, the idea of combining multiple models instead of a single one to solve a problem has its rationale ...
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A Machine Learning Solution for Distributed Environments and Edge Computing 

Penas-Noce, Javier; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (M D P I AG, 2019-08-09)
[Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ...
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Comparison of Outlier-Tolerant Models for Measuring Visual Complexity 

Carballal, Adrian; Fernández-Lozano, Carlos; Rodríguez-Fernández, Nereida; Santos, Iria; Romero, Juan (M D P I AG, 2020-04-24)
[Abstract] Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision ...
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Visual complexity modelling based on image features fusion of multiple kernels 

Fernández-Lozano, Carlos; Carballal, Adrian; Machado, Penousal; Santos, Antonino; Romero, Juan (PeerJ, Ltd., 2019-07-18)
[Abstract] Humans’ perception of visual complexity is often regarded as one of the key principles of aesthetic order, and is intimately related to the physiological, neurological and, possibly, psychological characteristics ...
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Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques 

Arceo-Vilas​, Alba; Fernández-Lozano, Carlos; Pita​, Salvador; Pértega-Díaz, Sonia; Pazos, A. (PeerJ, Ltd., 2020-07-27)
[Abstract] Food consumption patterns have undergone changes that in recent years have resulted in serious health problems. Studies based on the evaluation of the nutritional status have determined that the adoption of a ...
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Early Warning in Egg Production Curves from Commercial Hens: a SVM Approach 

Ramírez-Morales, Iván; Rivero Cebrián, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2016-01-02)
[Abstract] Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwritten text recognition, real time translation and weather forecasting are common used applications. In the livestock ...
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Automated Early Detection of Drops in Commercial Egg Production Using Neural Networks 

Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Taylor & Francis, 2017-10-17)
[Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ...
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Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia 

Molares, Andrés; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI AG, 2020-08-19)
[Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ...
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Gene Signatures Research Involved in Cancer Using Machine Learning 

Liñares Blanco, José; Fernández-Lozano, Carlos (M D P I AG, 2019)
[Abstract] With the cheapening of mass sequencing techniques and the rise of computer technologies, capable of analyzing a huge amount of data, it is necessary nowadays that both branches mutually benefit. Transcriptomics, ...
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AuthorFernández-Lozano, Carlos (16)Pazos, A. (16)Munteanu, Cristian-Robert (13)Gestal, M. (7)González-Díaz, Humberto (7)Dorado, Julián (6)Fernández-Blanco, Enrique (4)Liñares Blanco, José (4)Rivero, Daniel (4)Barral Vales, Valentín (3)... View MoreSubject
Machine learning (47)
Feature selection (5)Support vector machines (4)Aprendizaje automático (3)Artificial neural networks (3)Cancer (3)Data mining (3)Big Data (2)Bioinformatics (2)Compression error (2)... View MoreDate Issued2010 - 2020 (46)2002 - 2009 (1)
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