Luis J Herrera
Luis J Herrera
Departament of Computer Engineering, Automatics and Robotics. University of Granada
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Zitiert von
Zitiert von
Color difference thresholds in dentistry
RD Paravina, R Ghinea, LJ Herrera, AD Bona, C Igiel, M Linninger, ...
Journal of Esthetic and Restorative Dentistry 27, S1-S9, 2015
Color difference thresholds in dental ceramics
R Ghinea, MM Pérez, LJ Herrera, MJ Rivas, A Yebra, RD Paravina
Journal of dentistry 38, e57-e64, 2010
Development of a customized whiteness index for dentistry based on CIELAB color space
M del Mar Pérez, R Ghinea, MJ Rivas, A Yebra, AM Ionescu, RD Paravina, ...
Dental Materials 32 (3), 461-467, 2016
Soft-computing techniques and ARMA model for time series prediction
I Rojas, O Valenzuela, F Rojas, A Guillén, LJ Herrera, H Pomares, ...
Neurocomputing 71 (4-6), 519-537, 2008
Hybridization of intelligent techniques and ARIMA models for time series prediction
O Valenzuela, I Rojas, F Rojas, H Pomares, LJ Herrera, A Guillén, ...
Fuzzy sets and systems 159 (7), 821-845, 2008
Translucency thresholds for dental materials
M Salas, C Lucena, LJ Herrera, A Yebra, A Della Bona, MM Pérez
Dental Materials 34 (8), 1168-1174, 2018
Dental ceramics: a CIEDE2000 acceptability thresholds for lightness, chroma and hue differences
M del Mar Perez, R Ghinea, LJ Herrera, AM Ionescu, H Pomares, ...
Journal of Dentistry 39, e37-e44, 2011
Whiteness difference thresholds in dentistry
MM Pérez, LJ Herrera, F Carrillo, OE Pecho, D Dudea, C Gasparik, ...
Dental Materials 35 (2), 292-297, 2019
Applications of artificial intelligence in dentistry: A comprehensive review
F Carrillo‐Perez, OE Pecho, JC Morales, RD Paravina, A Della Bona, ...
Journal of Esthetic and Restorative Dentistry 34 (1), 259-280, 2022
A heuristic method for parameter selection in LS-SVM: Application to time series prediction
G Rubio, H Pomares, I Rojas, LJ Herrera
International Journal of Forecasting 27 (3), 725-739, 2011
Recursive prediction for long term time series forecasting using advanced models
LJ Herrera, H Pomares, I Rojas, A Guillén, A Prieto, O Valenzuela
Neurocomputing 70 (16-18), 2870-2880, 2007
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
LJ Herrera, H Pomares, I Rojas, O Valenzuela, A Prieto
Fuzzy sets and systems 153 (3), 403-427, 2005
Adoption of electric vehicles: Which factors are really important?
E Higueras-Castillo, A Guillén, LJ Herrera, F Liébana-Cabanillas
International Journal of Sustainable Transportation 15 (10), 799-813, 2021
Classification of MRI images for Alzheimer's disease detection
LJ Herrera, I Rojas, H Pomares, A Guillén, O Valenzuela, O Baños
2013 international conference on social computing, 846-851, 2013
Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification
LJ Herrera, CM Fernandes, AM Mora, D Migotina, R Largo, A Guillén, ...
International journal of neural systems 23 (03), 1350012, 2013
Color range and color distribution of healthy human gingiva: a prospective clinical study
DK Ho, R Ghinea, LJ Herrera, N Angelov, RD Paravina
Scientific reports 5 (1), 18498, 2015
Analysing user trust in electronic banking using data mining methods
F Liébana-Cabanillas, R Nogueras, LJ Herrera, A Guillén
Expert Systems with Applications 40 (14), 5439-5447, 2013
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time
I Rojas, H Pomares, J Gonzalez, LJ Herrera, A Guillén, F Rojas, ...
Fuzzy Sets and Systems 157 (16), 2241-2258, 2006
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling
D Castillo, JM Gálvez, LJ Herrera, BS Román, F Rojas, I Rojas
BMC bioinformatics 18, 1-15, 2017
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
J González, I Rojas, H Pomares, LJ Herrera, A Guillén, JM Palomares, ...
International Journal of Approximate Reasoning 44 (1), 32-44, 2007
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