Luis Prieto - researchr alias

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Viewing Publication 1 - 24 from 24

2021

Segmentation of stairs ascent and descent for neuroprosthetic motor controlAlexis Fretes, Luis Prieto, Martín Teruel, Ulisses Clemotte, Fernando Brunetti. embc 2021: 6711-6714 [doi]

2020

Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approachLaura Cornejo-Bueno, Carlos Camacho-Gómez, Adrián Aybar-Ruíz, Luis Prieto, Alberto Barea-Ropero, Sancho Salcedo-Sanz. nca, 32(2):403, 2020. [doi]

Wind power ramp event detection with a hybrid neuro-evolutionary approachLaura Cornejo-Bueno, Carlos Camacho-Gómez, Adrián Aybar-Ruíz, Luis Prieto, Alberto Barea-Ropero, Sancho Salcedo-Sanz. nca, 32(2):391-402, 2020. [doi]

Multi-task learning for the prediction of wind power ramp events with deep neural networksManuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez. NN, 123:401-411, 2020. [doi]

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir ComputingManuel Dorado-Moreno, Pedro Antonio Gutiérrez, Laura Cornejo-Bueno, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez. npl, 52(1):57-74, 2020. [doi]

2019

Comparing Traditional Methods of Complex Networks Construction in a Wind Farm Production Analysis ProblemSara Cornejo-Bueno, Mihaela Ioana Chidean, Antonio J. Caamaño, Luis Prieto, Sancho Salcedo-Sanz. complexnetworks 2020: 895-904 [doi]

2018

A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind FarmsLaura Cornejo-Bueno, J. Acevedo-Rodríguez, Luis Prieto, Sancho Salcedo-Sanz. idc 2018: 97-106 [doi]

2017

A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events DetectionLaura Cornejo-Bueno, Adrián Aybar-Ruíz, Carlos Camacho-Gómez, Luis Prieto, Alberto Barea-Ropero, Sancho Salcedo-Sanz. iwann 2017: 745-756 [doi]

Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp PredictionManuel Dorado-Moreno, Laura Cornejo-Bueno, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez. iwann 2017: 708-719 [doi]

2016

Feature Selection with a Grouping Genetic Algorithm - Extreme Learning Machine Approach for Wind Power PredictionLaura Cornejo-Bueno, Carlos Camacho-Gómez, Adrián Aybar-Ruíz, Luis Prieto, Sancho Salcedo-Sanz. caepia 2016: 373-382 [doi]

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector MachinesManuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez. caepia 2016: 300-309 [doi]

2013

Ordinal and nominal classification of wind speed from synoptic pressurepatternsPedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto. eaai, 26(3):1008-1015, 2013. [doi]

Evolutionary computation approaches for real offshore wind farm layout: A case study in northern EuropeSancho Salcedo-Sanz, D. Gallo-Marazuela, Á. Pastor-Sánchez, Leopoldo Carro-Calvo, Antonio Portilla-Figueras, Luis Prieto. eswa, 40(16):6292-6297, 2013. [doi]

2012

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farmsCésar Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Emilio G. Ortíz-García, Luis Prieto. nca, 21(5):993-1005, 2012. [doi]

2011

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patternsPedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto. isda 2011: 1265-1270 [doi]

CSCL and Innovation: In Classrooms, With Teachers, Among School Leaders, In Schools of EducationJeremy Roschelle, Charlie Patton, Patricia K. Schank, William R. Penuel, Chee-Kit Looi, Wenli Chen, Anwar Chan, Luis Prieto, Sara Villagrá-Sobrino, Yannis Dimitriadis 0001. cscl 2011: [doi]

A review of recent evolutionary computation-based techniques in wind turbines layout optimization problemsSancho Salcedo-Sanz, B. Saavedra-Moreno, A. Paniagua-Tineo, Luis Prieto, Antonio Portilla-Figueras. cejcs, 1(1):101-107, 2011. [doi]

Short term wind speed prediction based on evolutionary support vector regression algorithmsSancho Salcedo-Sanz, Emilio G. Ortíz-García, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Luis Prieto. eswa, 38(4):4052-4057, 2011. [doi]

2009

Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed PredictionCÃ©sar HervÃ¡s-MartÃnez, Pedro Antonio GutiÃ©rrez, Juan Carlos FernÃ¡ndez, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ãngel M. PÃ©rez-Bellido, Luis Prieto. isda 2009: 193-198 [doi]

Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networksSancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Emilio G. Ortíz-García, Antonio Portilla-Figueras, Luis Prieto, Francisco Correoso. ijon, 72(4-6):1336-1341, 2009. [doi]

2008

Short-Term Wind Speed Prediction by Hybridizing Global and Mesoscale Forecasting Models with Artificial Neural NetworksSancho Salcedo-Sanz, Ãngel M. PÃ©rez-Bellido, Emilio G. OrtÃz-GarcÃa, Antonio Portilla-Figueras, Luis Prieto, D. Paredes, Francisco Correoso. his 2008: 608-612 [doi]

2003

COBRA: An Evolved Online Tool for Mammography InterpretationCarlos Andrés Peña-Reyes, Rosa Villa, Luis Prieto, Eduardo Sanchez. iwann 2003: 726-733 [doi]

2002

Sensitive, specific, and interpretable: evolving a fuzzy mammographic-interpretation assessment toolCarlos Andrés Peña-Reyes, Moshe Sipper, Luis Prieto. fuzzIEEE 2002: 837-842 [doi]

1997

Infraclinic Breast Carcinoma: Application of Neural Networks Techniques for the Indication of Radioguided BiopsiasLl. Porta, Rosa Villa, Luis Prieto, E. Andia, Elena Valderrama. iwann 1997: 978-985

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1997

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