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Francisco Javier Duque-Pintor, Manuel Jesús Fernández-Gómez, Alicia Troncoso and Francisco Martínez-Álvarez
The occurrence of outliers in real-world phenomena is quite usual. If these anomalous data are not properly treated, unreliable models can be generated. Many approaches in the literature are focused on a posteriori detection of outliers. However, a new m...
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Mahsa Nazeriye, Abdorrahman Haeri and Francisco Martínez-Álvarez
Human living could become very difficult due to a lack of energy. The household sector plays a significant role in energy consumption. Trying to optimize and achieve efficient energy consumption can lead to large-scale energy savings. The aim of this pap...
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Rubén Pérez-Chacón, José M. Luna-Romera, Alicia Troncoso, Francisco Martínez-Álvarez and José C. Riquelme
New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent years, which can be used to extra...
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Francisco Martínez-Álvarez, Alicia Troncoso and José C. Riquelme
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Manuel Jesús Fernández-Gómez, Gualberto Asencio-Cortés, Alicia Troncoso and Francisco Martínez-Álvarez
This work presents a novel methodology to predict large magnitude earthquakes with horizon of prediction of five days. For the first time, imbalanced classification techniques are applied in this field by attempting to deal with the infrequent occurrence...
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Victoriano Martínez Alvarez, Ana Isabel García García, Francisco Ayuga Téllez
Pág. 201 - 210
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Victoriano Martínez Alvarez, Ana Isabel García García, Francisco Ayuga Téllez
Pág. 201 - 210
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