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Listar por autor "Asencio Cortés, Gualberto"
Mostrando ítems 1-20 de 26
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Ponencia
A decision tree-based method for protein contact map prediction
Santiesteban Toca, Cosme E.; Márquez Chamorro, Alfonso Eduardo; Asencio Cortés, Gualberto; Aguilar Ruiz, Jesús Salvador (Springer, 2011)In this paper, we focus on protein contact map prediction. We describe a method where contact maps are predicted using ...
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Ponencia
A Multi-objective Genetic Algorithm for the Protein Structure Prediction
Márquez Chamorro, Alfonso Eduardo; Divina, Federico; Aguilar Ruiz, Jesús Salvador; Asencio Cortés, Gualberto (IEEE Computer Society, 2011)The Protein Structure Prediction (PSP) problem consists of predicting the structure of a protein from its amino acids ...
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Ponencia
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction
Asencio Cortés, Gualberto; Aguilar Ruiz, Jesús Salvador; Márquez Chamorro, Alfonso Eduardo (Springer, 2011)Protein tertiary structure prediction consists of determining the three-dimensional conformation of a protein based solely ...
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Artículo
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information
Gómez Losada, Álvaro; Asencio Cortés, Gualberto; Martínez Álvarez, F.; Riquelme, J.C. (Elsevier, 2018)Surface ozone (O3) is considered an hazard to human health, affecting vegetation crops and ecosystems. Accurate time and ...
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Ponencia
A NSGA-II Algorithm for the Residue-Residue Contact Prediction
Márquez Chamorro, Alfonso Eduardo; Divina, Federico; Aguilar Ruiz, Jesús Salvador; Bacardit, Jaume; Asencio Cortés, Gualberto; Santiesteban Toca, Cosme E. (Springer, 2012)We present a multi-objective evolutionary approach to predict protein contact maps. The algorithm provides a set of ...
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Ponencia
A preliminary study on deep transfer learning applied to image classification for small datasets
Molina, Miguel Ángel; Asencio Cortés, Gualberto; Riquelme Santos, José Cristóbal; Martínez Álvarez, Francisco (Springer, 2020)A new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional ...
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Ponencia
Alpha Helix Prediction Based on Evolutionary Computation
Márquez Chamorro, Alfonso Eduardo; Divina, Federico; Aguilar Ruiz, Jesús Salvador; Asencio Cortés, Gualberto (Springer, 2010)Multiple approaches have been developed in order to predict the protein secondary structure. In this paper, we propose ...
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Ponencia
An Efficient Nearest Neighbor Method for Protein Contact Prediction
Asencio Cortés, Gualberto; Aguilar Ruiz, Jesús Salvador; Márquez Chamorro, Alfonso Eduardo (Springer, 2015)A variety of approaches for protein inter-residue contact pre diction have been developed in recent years. However, this ...
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Ponencia
An Evolutionary Approach for Protein Contact Map Prediction
Márquez Chamorro, Alfonso Eduardo; Divina, Federico; Aguilar Ruiz, Jesús Salvador; Asencio Cortés, Gualberto (Springer, 2011)In this study, we present a residue-residue contact prediction approach based on evolutionary computation. Some amino acid ...
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Artículo
Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm
Gómez Losada, Álvaro; Asencio Cortés, Gualberto; Duch Brown, Néstor (MDPI, 2022-01-19)Purchase processes on Amazon Marketplace begin at the Buy Box, which represents the buy click process through which numerous ...
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Artículo
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Martínez Álvarez, Francisco; Asencio Cortés, Gualberto; Torres, J. F.; Gutiérrez Avilés, David; Melgar García, Laura; Pérez Chacón, R.; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal; Troncoso Lora, Alicia (Mary Ann Liebert, 2020)This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ...
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Artículo
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
Molina Cabanillas, Miguel Ángel; Jiménez Navarro, Manuel Jesús; Arjona, Ricardo; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (ScienceDirect, 2022-10)The agricultural sector has been, and still is, the most important economic sector in many countries. Due to advances in ...
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Ponencia
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (Springer Link, 2023-10)Traditional time series forecasting models often use all available variables, including potentially irrelevant or noisy ...
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Artículo
Evolutionary decision rules for predicting protein contact maps
Márquez Chamorro, Alfonso Eduardo; Asencio Cortés, Gualberto; Divina, Federico; Aguilar Ruiz, Jesús Salvador (Springer, 2012)Protein structure prediction is currently one of the main open challenges in Bioinformatics. The protein contact map is ...
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Artículo
Explaining deep learning models for ozone pollution prediction via embedded feature selection
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (ScienceDirect, 2024)Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ...
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Ponencia
Explaining Learned Patterns in Deep Learning by Association Rules Mining
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (SpringerLink, 2023-08)This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the ...
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Ponencia
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Sousa Brito, Isabel Sofía; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (SpringerLink, 2022)Neural networks have proven to be a good alternative in application fields such as healthcare, time-series forecasting and ...
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Tesis Doctoral
Novel efficient deep learning architectures for time series forecasting
Jiménez Navarro, Manuel Jesús (2023-02-03)This thesis focuses on the study of time series prediction using the technique known as deep learning or neural networks. ...
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Artículo
PHILNet: A novel efficient approach for time series forecasting using deep learning
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (ScienceDirect, 2023)Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior ...
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Ponencia
Predicción de mapas de distancias de proteínas basada en vecinos más cercanos
Asencio Cortés, Gualberto; Aguilar Ruiz, Jesús Salvador; Márquez Chamorro, Alfonso Eduardo (Asociación Española para la Inteligencia Artificial (AEPIA), 2011)La predicción de la estructura terciaria de las proteínas consiste en determinar la conformación tridimensional de las ...