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LS-SVR as a Bayesian RBF Network

Referentgranskad
Öppen tillgång
DOI
10.1109/TNNLS.2019.2952000
Mesquita, Diego P.P.; Freitas, Luis A.; Gomes, Joao P.P.; Mattos, Cesar L.C.
IEEE Transactions on Neural Networks and Learning Systems2020

Examining the Simple View of Reading (SVR) model in a transparent orthography: A longitudinal study from kindergarten to grade 3

Referentgranskad
Minna Torppa, George K. Georgiou, Marja-Kristiina Lerkkanen, Pekka Niemi, Anna-Maija Poikkeus, Jari...
Merrill-Palmer Quarterly2016

Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

Referentgranskad
DOI
10.1093/jigpal/jzx029
Urraca, Ruben; Sanz-Garcia, Andres; Fernandez-Ceniceros, Julio; Pernia-Espinoza, Alpha; Javier Marti...
Logic journal of the IGPL2017

Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning

Referentgranskad
Urraca, R.; Sanz-Garcia, A.; Fernandez-Ceniceros, J.; Sodupe-Ortega, E.; Martinez-de-Pison, F. J.
Lecture Notes in Artificial Intelligence2015

Comparative study of modelling the thermal efficiency of a novel straight through evacuated tube collector with MLR, SVR, BP and RBF methods

Referentgranskad
DOI
10.1016/j.seta.2021.101029
Du, Bin; Lund, Peter D.; Wang, Jun; Kolhe, Mohan; Hu, Eric
Sustainable Energy Technologies and Assessments2021

GA-PARSIMONY:A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace

Referentgranskad
DOI
10.1016/j.asoc.2015.06.012
Sanz-Garcia, A.; Fernandez-Ceniceros, J.; Antonanzas-Torres, F.; Pernia-Espinoza, A. V.; Martinez-de...
Applied Soft Computing2015

An intelligent power distribution service architecture using cloud computing and deep learning techniques

Referentgranskad
DOI
10.1016/j.jnca.2017.09.001
Zhang, Weishan; Wulan, Gaowa; Zhai, Jia; Xu, Liang; Zhao, Dehai; Liu, Xin; Yang, Su; Zhou, Jiehan
Journal of network and computer applications2018

Effective Input Dataset Identification Methodology for Accurate Prediction of Local PV Power Production

Referentgranskad
Öppen tillgång
DOI
10.1109/ISGTEurope.2019.8905619
Eseye, Abinet Tesfaye; Lehtonen, Matti; Tukia, Toni; Uimonen, Semen; Millar, Robert
IEEE PES Innovative Smart Grid Technologies Conference Europe2019

Effectiveness and Safety of Interferon-Free Direct-Acting Antiviral Hepatitis C Virus Therapy in HIV/Hepatitis C Virus Coinfected Individuals: Results From a Pan-European Study

Referentgranskad
Öppen tillgång
DOI
10.1097/QAI.0000000000002541
Amele, S; Peters, L; Rodger, A; Lundgren, J; Rockstroh, J; Matulionyte, R; Leen, C; Jablonowska, E; ...
Jaids: journal of acquired immune deficiency syndromes2021

Pathogenicity of Campylobacter strains of poultry and human origin from Poland

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ijfoodmicro.2020.108830
Wysok, Beata; Wojtacka, Joanna; Kivistö, Rauni
International Journal of Food Microbiology2020

LS-SVR as a Bayesian RBF Network

Referentgranskad
Öppen tillgång
DOI
10.1109/TNNLS.2019.2952000
2020

Examining the Simple View of Reading (SVR) model in a transparent orthography: A longitudinal study from kindergarten to grade 3

Referentgranskad
2016

Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

Referentgranskad
DOI
10.1093/jigpal/jzx029
2017

Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning

Referentgranskad
2015

Comparative study of modelling the thermal efficiency of a novel straight through evacuated tube collector with MLR, SVR, BP and RBF methods

Referentgranskad
DOI
10.1016/j.seta.2021.101029
2021

GA-PARSIMONY:A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace

Referentgranskad
DOI
10.1016/j.asoc.2015.06.012
2015

An intelligent power distribution service architecture using cloud computing and deep learning techniques

Referentgranskad
DOI
10.1016/j.jnca.2017.09.001
2018

Effective Input Dataset Identification Methodology for Accurate Prediction of Local PV Power Production

Referentgranskad
Öppen tillgång
DOI
10.1109/ISGTEurope.2019.8905619
2019

Effectiveness and Safety of Interferon-Free Direct-Acting Antiviral Hepatitis C Virus Therapy in HIV/Hepatitis C Virus Coinfected Individuals: Results From a Pan-European Study

Referentgranskad
Öppen tillgång
DOI
10.1097/QAI.0000000000002541
2021

Pathogenicity of Campylobacter strains of poultry and human origin from Poland

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ijfoodmicro.2020.108830
2020