La dirección organizacional desde la perspectiva transdisciplinaria by Fidel Francisco Martínez Álvarez

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Transdisciplina, educación ambiental y desarrollo comunitario sustentable by Fidel Francisco Martínez Álvarez

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Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption—A Data Mining Approach by Mahsa Nazeriye, Abdorrahman Haeri, Francisco Martínez-Álvarez

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Data Science and Big Data in Energy Forecasting by Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme

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Recent Advances in Energy Time Series Forecasting by Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme

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Earthquake prediction model using support vector regressor and hybrid neural networks. by Khawaja M Asim, Adnan Idris, Talat Iqbal, Francisco Martínez-Álvarez

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A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand by Francisco Martínez-Álvarez, Amandine Schmutz, Gualberto Asencio-Cortés, Julien Jacques

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A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting by Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés, José C. Riquelme

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A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area by Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso

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Análisis comparativo del proceso de inteligencia deportiva de los entrenadores de voleibol by Yunieski Cabrera Carrazana, Alexis Rafael Macías Chávez, Fidel Francisco Martínez Álvarez

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A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia by Ejigu Tefera Habtemariam, Kula Kekeba, María Martínez-Ballesteros, Francisco Martínez-Álvarez

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FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer by Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso

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A New Methodology Based on Imbalanced Classification for Predicting Outliers in Electricity Demand Time Series by Francisco Javier Duque-Pintor, Manuel Jesús Fernández-Gómez, Alicia Troncoso, Francisco Martínez-Álvarez

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A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting by Manuel J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

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Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting by Federico Divina, José Francisco Torres Maldonado, Miguel García-Torres, Francisco Martínez-Álvarez, Alicia Troncoso

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Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities by Rubén Pérez-Chacón, José M. Luna-Romera, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme

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Estrategia de educación, promoción y prevención para la percepción del riesgo genético en las mujeres en edad fértil Strategy for the education, promotion, and prevention of the ge... by Reinaldo Proenza Rodríguez, Fidel Francisco Martínez Álvarez, Héctor Pimentel Benítez, Fidel de Jesús Moras Bracero

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A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula by Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero

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A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System by Catalina Gomez-Quiles, Gualberto Asencio-Cortes, Adolfo Gastalver-Rubio, Francisco Martinez-Alvarez, Alicia Troncoso, Joan Manresa, Jose C. Riquelme, Jesus M. Riquelme-Santos

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