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ORCIDManuel Fernández Delgado
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- affiliation: University of Santiago de Compostela, Spain
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2020 – today
- 2024
[j31]Manuel Fernández Delgado
, Sara Cruz, Eva Cernadas, Heba Alateyat, María Tubío-Fungueiriño, Adriana Sampaio, Ángel Carracedo, Montse Fernández-Prieto:
Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing. Appl. Intell. 54(20): 9906-9923 (2024)- 2023
- [j30]Heba Alateyat, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D. Neural Process. Lett. 55(5): 5377-5400 (2023) - 2022
- [j29]Eva Cernadas, Manuel Fernández Delgado, Elena Fulladosa, Israel Muñoz:
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression. Expert Syst. Appl. 206: 117765 (2022) - [j28]María Tubío-Fungueiriño, Eva Cernadas, Óscar F. Gonçalves, Cinto Segalas, Sara Bertolín, Lorea Mar-Barrutia, Eva Real, Manuel Fernández Delgado, José Manuel Menchón, Sandra Carvalho, Pino Alonso, Ángel Carracedo, Montse Fernández-Prieto:
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients. Frontiers Neuroinformatics 16: 807584 (2022) - [j27]Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Audi Albtoush, Eva Cernadas, Senén Barro:
Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification. Neurocomputing 489: 1-8 (2022) - [j26]Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández Delgado, José A. Taboada:
A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. Inf. Softw. Technol. 143: 106736 (2022) - [j25]Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Quick extreme learning machine for large-scale classification. Neural Comput. Appl. 34(8): 5923-5938 (2022) - [j24]Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Fast Support Vector Classification for Large-Scale Problems. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6184-6195 (2022) - 2021
- [j23]Khalid Alkharabsheh, Yania Crespo, Manuel Fernández Delgado, José R. R. Viqueira, José A. Taboada:
Exploratory study of the impact of project domain and size category on the detection of the God class design smell. Softw. Qual. J. 29(2): 197-237 (2021) - [c19]Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Extreme learning machine with confidence interval based bias initialization. IDSTA 2021: 23-30 - 2020
- [j22]Adrián Cordido, Eva Cernadas, Manuel Fernández Delgado, Miguel A. García-González:
CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j21]María Mar Ávila, Maria Luisa Durán, Daniel Caballero, Teresa Antequera, Trinidad Pérez-Palacios, Eva Cernadas, Manuel Fernández Delgado:
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces. Eng. Appl. Artif. Intell. 82: 110-125 (2019) - [j20]Sadi Alawadi, Manuel Fernández Delgado, David Mera, Senén Barro:
Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. Neural Comput. Appl. 31(8): 3515-3531 (2019) - [j19]Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande:
An extensive experimental survey of regression methods. Neural Networks 111: 11-34 (2019) - [c18]Khalid Alkharabsheh, Yania Crespo, Manuel Fernández Delgado, José Manuel Cotos, José A. Taboada:
Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning. SEKE 2019: 361-472 - 2018
- [j18]Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, Senén Barro:
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods. Comput. Electron. Agric. 154: 120-133 (2018) - 2017
- [j17]Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, R. Khan:
Classification of agricultural soil parameters in India. Comput. Electron. Agric. 135: 269-279 (2017) - [j16]David Mera, Manuel Fernández Delgado, José Manuel Cotos, José Ramon Rios Viqueira, Senén Barro:
Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images. Neural Comput. Appl. 28(S-1): 1101-1117 (2017) - [j15]Eva Cernadas, Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión:
Influence of normalization and color space to color texture classification. Pattern Recognit. 61: 120-138 (2017) - [c17]Sadi Alawadi, David Mera, Manuel Fernández Delgado, José A. Taboada:
Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. Smart-CT 2017: 29-38 - 2016
- [j14]J. M. Pintor, Pilar Carrión, Eva Cernadas, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, R. Domínguez-Petit, S. Rábade-Uberos:
Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images. Comput. Electron. Agric. 125: 89-98 (2016) - [j13]M. Pérez-Ortiz, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. Neural Process. Lett. 44(2): 555-570 (2016) - 2015
- [j12]Víctor Alvarez-Santos, Adrián Canedo-Rodriguez, Roberto Iglesias, Xose Manuel Pardo, Carlos Vázquez Regueiro, Manuel Fernández Delgado:
Route learning and reproduction in a tour-guide robot. Robotics Auton. Syst. 63: 206-213 (2015) - [c16]J. M. Pintor, Pilar Carrión, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, S. Rábade-Uberos:
A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis. IbPRIA 2015: 743-750 - 2014
- [j11]Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Dinani Gomes Amorim:
Do we need hundreds of classifiers to solve real world classification problems? J. Mach. Learn. Res. 15(1): 3133-3181 (2014) - [j10]Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Jorge Ribeiro, José Neves:
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. Neural Networks 50: 60-71 (2014) - [c15]Manuel Fernández Delgado, Manuel Mucientes, Borja Vázquez-Barreiros, Manuel Lama:
Learning analytics for the prediction of the educational objectives achievement. FIE 2014: 1-4 - 2013
- [j9]Encarnación González-Rufino, Pilar Carrión, Eva Cernadas, Manuel Fernández Delgado, R. Domínguez-Petit:
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary. Pattern Recognit. 46(9): 2391-2407 (2013) - [c14]Adrián Canedo-Rodriguez, Víctor Alvarez-Santos, D. Santos-Saavedra, Cristina Gamallo, Manuel Fernández Delgado, Roberto Iglesias, Carlos Vázquez Regueiro:
Robust Multi-sensor System for Mobile Robot Localization. IWINAC (2) 2013: 92-101 - 2012
- [j8]José Neves, Jorge Ribeiro, Paulo Pereira, Victor Alves, José Machado, António Abelha, Paulo Novais, Cesar Analide, Manuel Santos, Manuel Fernández Delgado:
Evolutionary intelligence in asphalt pavement modeling and quality-of-information. Prog. Artif. Intell. 1(1): 119-135 (2012) - 2011
- [j7]Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro Ameneiro:
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. IEEE Trans. Neural Networks 22(11): 1837-1848 (2011) - [c13]Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado:
Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging. CAIP (2) 2011: 180-187 - [c12]Encarnación González-Rufino, Pilar Carrión, Arno Formella, Manuel Fernández Delgado, Eva Cernadas:
Statistical and Wavelet Based Texture Features for Fish Oocytes Classification. IbPRIA 2011: 403-410 - [c11]Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado:
Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System. ICIAP (2) 2011: 303-312 - [c10]Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado:
Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework. ICME 2011: 1-4 - 2010
- [j6]Manuel Fernández Delgado, M. Reboreda, Eva Cernadas, Senén Barro:
A comparison of several neural networks to predict the execution times in injection molding production for automotive industry. Neural Comput. Appl. 19(5): 741-754 (2010) - [c9]Jorge Ribeiro, José Machado, António Abelha, Manuel Fernández Delgado, José Neves:
Handling incomplete information in an evolutionary environment. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c8]Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro:
Fast weight calculation for kernel-based perceptron in two-class classification problems. IJCNN 2010: 1-6 - [c7]Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro:
A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c6]M. Reboreda, Manuel Fernández Delgado, Senén Barro:
Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF. IWINAC (2) 2009: 509-518 - 2007
- [j5]Dinani Gomes Amorim, Manuel Fernández Delgado, Senén Barro Ameneiro:
Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories. IEEE Trans. Neural Networks 18(5): 1306-1325 (2007) - 2006
- [j4]María Rodríguez Damián, Eva Cernadas, Arno Formella, Manuel Fernández Delgado, Maria Pilar de Sá-Otero:
Automatic detection and classification of grains of pollen based on shape and texture. IEEE Trans. Syst. Man Cybern. Syst. 36(4): 531-542 (2006) - 2005
- [c5]Dinani Gomes, Manuel Fernández Delgado, Senén Barro:
Internal Categories with Irregular Geometry and Overlapping in ART Networks. CAEPIA 2005: 291-300 - 2000
- [j3]Xosé Antón Vila Sobrino, Yi Gang, Jesús María Rodríguez Presedo, Manuel Fernández Delgado, Senén Barro Ameneiro, Marek Malik:
A new approach for TU complex characterization. IEEE Trans. Biomed. Eng. 47(6): 764-772 (2000) - [c4]Roberto Iglesias, Manuel Fernández Delgado, Senén Barro:
Learning of perceptual states in the design of an adaptive wall-following behavior. ESANN 2000: 103-108
1990 – 1999
- 1999
- [c3]Manuel Fernández Delgado, Jesús María Rodríguez Presedo, Senén Barro:
Multichannel Pattern Recognition Neural Network. IWANN (1) 1999: 719-729 - 1998
- [j2]Manuel Fernández Delgado, Senén Barro:
MART: a multichannel ART-based neural network. IEEE Trans. Neural Networks 9(1): 139-150 (1998) - 1997
- [j1]Manuel Fernández Delgado, Carlos Vázquez Regueiro, Eduardo Sánchez Vila, Senén Barro:
MART: Una Red Neuronal para la clasificación de patrones multicanal. Inteligencia Artif. 1(1): 8-15 (1997) - [c2]Xosé Antón Vila Sobrino, Jesús María Rodríguez Presedo, Manuel Fernández Delgado, Roberto Iglesias, Senén Barro:
Improvement in the Computational Efficiency in the Analysis of Signals by way of Adaptive Time Frequency Distributions. EUROCAST 1997: 514-526 - 1996
- [c1]Alberto Bugarín, Purificación Cariñena, Manuel Fernández Delgado, Senén Barro:
Petri Net Representation of Fuzzy Reasoning under Incomplete Information. ISMVL 1996: 172-177
Coauthor Index
aka: Senén Barro Ameneiro
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