Listar por autor "Pazos, A."
Mostrando ítems 21-40 de 116
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Automatic Seizure Detection Based on Star Graph Topological Indices
Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2012-08-15)[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ... -
Avoiding Interference in Planar Arrays through the Use of Artificial Neural Networks
Brégains, Julio; Dorado, Julián; Gestal, M.; Rodríguez, J. A.; Ares, F.; Pazos, A. (Institute of Electrical and Electronics Engineers, 2002-08)[Abstract] This article implements an artificial neural network to find, through computer simulation, the excitations of a square planar array. The array is composed of 52 uniformly spaced subarrays, and has a quasi- in ... -
Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models
Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ... -
Biomedical data integration in computational drug design and bioinformatics
Seoane, José A.; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Bentham Science, 2013)[Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real ... -
BiOSS: A system for biomedical ontology selection
Martínez-Romero, Marcos; Vázquez-Naya, José; Pereira-Loureiro, Javier; Pazos, A. (Elsevier Ireland Ltd, 2014-04)In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing ... -
Breast density classification to reduce false positives in CADe systems
Vállez, Noelia; Bueno, Gloria; Déniz, Oscar; Dorado, Julián; Seoane, José A.; Pazos, A.; Pastor, Carlos (Elsevier, 2013)[Abstract] This paper describes a novel weighted voting tree classification scheme for breast density classification. Breast parenchymal density is an important risk factor in breast cancer. Moreover, it is known that ... -
Carbon nanotubes’ effect on mitochondrial oxygen flux dynamics: polarography experimental study and machine learning models using star graph trace invariants of Raman spectra
González-Durruthy, Michael; Monserrat, José M.; Rasulev, Bakhtiyor; Casañola-Martín, Gerardo M.; Barreiro Sorrivas, José María; Paraíso-Medina, Sergio; Maojo, Víctor; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert (MDPI, 2017-11-11)[Abstract] This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) under three experimental conditions. New experimental results and a new methodology are reported for the first ... -
Carbon Nanotubes’ Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra
González-Durruthy, Michael; Monserrat, José M.; Rasulev, Bakhtiyor; Casañola-Martín, Gerardo M.; Barreiro Sorrivas, José María; Paraíso-Medina, Sergio; Maojo, Víctor; González-Díaz, Humberto; Munteanu, Cristian-Robert; Pazos, A. (M D P I AG, 2017-11-11)[Abstract] This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) under three experimental conditions. New experimental results and a new methodology are reported for the first ... -
Classical Music Prediction and Composition by Means of Variational Autoencoders
Rivero, Daniel; Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Ezquerra, Noberto; Pazos, A. (MDPI AG, 2020-04-27)[Abstract] This paper proposes a new model for music prediction based on Variational Autoencoders (VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent ... -
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Mato-Abad, Virginia; Pita-Fernández, Salvador; Álvarez-Linera, Juan; Hernández-Tamames, Juan Antonio; Pazos, A. (Elsevier, 2015-03-30)[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ... -
Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks
Alvarellos, Alberto; Pazos, A.; Porto-Pazos, Ana B. (Hindawi, 2012)[Abstract] The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has ... -
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Springer Nature, 2019-06-26)[Abstract] 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 different signals recorded ... -
Data analysis in chemistry and bio-medical sciences
Todeschini, Roberto; Pazos, A.; Arrasate, Sonia; González-Díaz, Humberto (MPDI, 2016-12-14) -
Decrypting strong and weak single-walled carbon nanotubes interactions with mitochondrial voltage-dependent anion channels using molecular docking and perturbation theory
González-Durruthy, Michael; Werhli, Adriano V.; Seus, Vinicius; Machado, Karina S.; Pazos, A.; Munteanu, Cristian-Robert; González-Díaz, Humberto; Monserrat, José M. (Nature, 2017-10-16)[Abstract] The current molecular docking study provided the Free Energy of Binding (FEB) for the interaction (nanotoxicity) between VDAC mitochondrial channels of three species (VDAC1-Mus musculus, VDAC1-Homo sapiens, ... -
Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
Pastur-Romay, L.A.; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B. (MDPI, 2016-08-11)[Abstract] Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many other ... -
Detection of Bovine Mastitis in Raw Milk, Using a Low-Cost NIR Spectrometer and k-NN Algorithm
Ramírez Morales, Iván; Aguilar, Lenin; Fernández-Blanco, Enrique; Rivero, Daniel; Pérez, Jhonny; Pazos, A. (MDPI, 2021)[Abstract] Among the bovine diseases, mastitis causes high economic losses in the dairy production system. Nowadays, detection under field conditions is mainly performed by the California Mastitis Test, which is considered ... -
Determination of Egg Storage Time at Room Temperature Using a Low-Cost NIR Spectrometer and Machine Learning Techniques
Coronel-Reyes, Julián; Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Elsevier, 2017-12-21)[Abstract] Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not ... -
Determining the burden of the family caregivers of people with neuromuscular diseases who use a wheelchair
Pousada, Thais; Groba, Betania; Nieto-Riveiro, Laura; Pazos, A.; Díez, Emiliano; Pereira-Loureiro, Javier (Wolters Kluwer Health, 2018-06)[Abstract] The present study provides a basic outline of the care and support that family caregivers offer to people affected by neuromuscular diseases. To determine the presence of burden in caregivers of people ... -
Developing a system for advanced monitoring and intelligent drug administration in critical care units using ontologies
Martínez-Romero, Marcos; Vázquez-Naya, José; Pereira-Loureiro, Javier; Pereira, Miguel; Pazos, A.; Baños, Gerardo (IOS Press, 2013-04-27)[Abstract] When a patient enters an intensive care unit (ICU), either after surgery or due to a serious clinical condition, his vital signs are continually changing, forcing the medical experts to make rapid and complex ... -
Development of an Automatic Low-Cost Air Quality Control System: A Radon Application
Alvarellos, Alberto; López Chao, Andrea; Rabuñal, Juan R.; García-Vidaurrázaga, María D.; Pazos, A. (MDPI, 2021-03-01)[Abstract] Air pollution is the fourth-largest overall risk factor for human health worldwide. Ambient air pollution (outdoors) and household air pollution (indoors) cause about 6.5 million premature deaths. The World ...