Manuel Fernández Delgado

55 papers A 1B 5C 2Misc 2Journal 35Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Linear complexity hyperparameter tuning of the quadratic kernel for support vector classification.
Pattern Recognit.
Manuel Fernández Delgado, A. L. Pereira-Costa, Eva Cernadas
2025 J jnl
Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification.
IEEE Trans. Neural Networks Learn. Syst.
Diego Isla-Cernadas, Manuel Fernández Delgado, Eva Cernadas, Manisha Sanjay Sirsat, Haitham Maarouf, Senén Barro
2025 J jnl
Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images.
Knowl. Based Syst.
Manisha Sanjay Sirsat, Diego Isla-Cernadas, Eva Cernadas, Manuel Fernández Delgado
2024 J jnl
OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models.
Frontiers Artif. Intell.
Zakaria A. Al-Tarawneh, Maite Pena-Cristóbal, Eva Cernadas, José Manuel Suarez-Peñaranda, Manuel Fernández Delgado, Almoutaz Mbaidin, Mercedes Gallas-Torreira, Pilar Gándara-Vila
2024 J jnl
Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing.
Appl. Intell.
Manuel Fernández Delgado, Sara Cruz, Eva Cernadas, Heba Alateyat, María Tubío-Fungueiriño, Adriana Sampaio, Ángel Carracedo, Montse Fernández-Prieto
2023 J jnl
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D.
Neural Process. Lett.
Heba Alateyat, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
2022 J jnl
A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class.
Inf. Softw. Technol.
Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández Delgado, José A. Taboada
2022 J jnl
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression.
Expert Syst. Appl.
Eva Cernadas, Manuel Fernández Delgado, Elena Fulladosa, Israel Muñoz
2022 J jnl
Fast Support Vector Classification for Large-Scale Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
2022 J jnl
Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification.
Neurocomputing
Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Audi Albtoush, Eva Cernadas, Senén Barro
2022 J jnl
Quick extreme learning machine for large-scale classification.
Neural Comput. Appl.
Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
2022 J jnl
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients.
Frontiers Neuroinformatics
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
2021 J jnl
Exploratory study of the impact of project domain and size category on the detection of the God class design smell.
Softw. Qual. J.
Khalid Alkharabsheh, Yania Crespo, Manuel Fernández Delgado, José R. R. Viqueira, José A. Taboada
2021 — conf
Extreme learning machine with confidence interval based bias initialization.
IDSTA
Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
2020 J jnl
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.
Adrián Cordido, Eva Cernadas, Manuel Fernández Delgado, Miguel A. García-González
2019 J jnl
An extensive experimental survey of regression methods.
Neural Networks
Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande
2019 C conf
Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning.
SEKE
Khalid Alkharabsheh, Yania Crespo, Manuel Fernández Delgado, José Manuel Cotos, José A. Taboada
2019 J jnl
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces.
Eng. Appl. Artif. Intell.
María Mar Ávila, Maria Luisa Durán, Daniel Caballero, Teresa Antequera, Trinidad Pérez-Palacios, Eva Cernadas, Manuel Fernández Delgado
2019 J jnl
Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems.
Neural Comput. Appl.
Sadi Alawadi, Manuel Fernández Delgado, David Mera, Senén Barro
2018 J jnl
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods.
Comput. Electron. Agric.
Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, Senén Barro
2017 J jnl
Classification of agricultural soil parameters in India.
Comput. Electron. Agric.
Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, R. Khan
2017 — conf
Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings.
Smart-CT
Sadi Alawadi, David Mera, Manuel Fernández Delgado, José A. Taboada
2017 J jnl
Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images.
Neural Comput. Appl.
David Mera, Manuel Fernández Delgado, José Manuel Cotos, José Ramon Rios Viqueira, Senén Barro
2017 J jnl
Influence of normalization and color space to color texture classification.
Pattern Recognit.
Eva Cernadas, Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión
2016 J jnl
Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images.
Comput. Electron. Agric.
J. M. Pintor, Pilar Carrión, Eva Cernadas, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, R. Domínguez-Petit, S. Rábade-Uberos
2016 J jnl
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes.
Neural Process. Lett.
M. Pérez-Ortiz, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez
2015 Misc conf
A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis.
IbPRIA
J. M. Pintor, Pilar Carrión, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, S. Rábade-Uberos
2015 J jnl
Route learning and reproduction in a tour-guide robot.
Robotics Auton. Syst.
Víctor Alvarez-Santos, Adrián Canedo-Rodriguez, Roberto Iglesias, Xose Manuel Pardo, Carlos Vázquez Regueiro, Manuel Fernández Delgado
2014 J jnl
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
Neural Networks
Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Jorge Ribeiro, José Neves
2014 J jnl
Do we need hundreds of classifiers to solve real world classification problems?
J. Mach. Learn. Res.
Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Dinani Gomes Amorim
2014 C conf
Learning analytics for the prediction of the educational objectives achievement.
FIE
Manuel Fernández Delgado, Manuel Mucientes, Borja Vázquez-Barreiros, Manuel Lama
2013 J jnl
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary.
Pattern Recognit.
Encarnación González-Rufino, Pilar Carrión, Eva Cernadas, Manuel Fernández Delgado, R. Domínguez-Petit
2013 — conf
Robust Multi-sensor System for Mobile Robot Localization.
IWINAC (2)
Adrián Canedo-Rodriguez, Víctor Alvarez-Santos, D. Santos-Saavedra, Cristina Gamallo, Manuel Fernández Delgado, Roberto Iglesias, Carlos Vázquez Regueiro
2012 J jnl
Evolutionary intelligence in asphalt pavement modeling and quality-of-information.
Prog. Artif. Intell.
José Neves, Jorge Ribeiro, Paulo Pereira, Victor Alves, José Machado, António Abelha, Paulo Novais, Cesar Analide, Manuel Santos, Manuel Fernández Delgado
2011 — conf
Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System.
ICIAP (2)
Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado
2011 J jnl
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks.
IEEE Trans. Neural Networks
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro Ameneiro
2011 — conf
Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging.
CAIP (2)
Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado
2011 A conf
Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework.
ICME
Ángel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vázquez-Fernández, Manuel Fernández Delgado
2011 Misc conf
Statistical and Wavelet Based Texture Features for Fish Oocytes Classification.
IbPRIA
Encarnación González-Rufino, Pilar Carrión, Arno Formella, Manuel Fernández Delgado, Eva Cernadas
2010 B conf
A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin.
IJCNN
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro
2010 J jnl
A comparison of several neural networks to predict the execution times in injection molding production for automotive industry.
Neural Comput. Appl.
Manuel Fernández Delgado, M. Reboreda, Eva Cernadas, Senén Barro
2010 B conf
Fast weight calculation for kernel-based perceptron in two-class classification problems.
IJCNN
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro
2010 B conf
Handling incomplete information in an evolutionary environment.
IEEE Congress on Evolutionary Computation
Jorge Ribeiro, José Machado, António Abelha, Manuel Fernández Delgado, José Neves
2009 — conf
Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF.
IWINAC (2)
M. Reboreda, Manuel Fernández Delgado, Senén Barro
2007 J jnl
Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories.
IEEE Trans. Neural Networks
Dinani Gomes Amorim, Manuel Fernández Delgado, Senén Barro Ameneiro
2006 J jnl
Automatic detection and classification of grains of pollen based on shape and texture.
IEEE Trans. Syst. Man Cybern. Syst.
María Rodríguez Damián, Eva Cernadas, Arno Formella, Manuel Fernández Delgado, Maria Pilar de Sá-Otero
2005 B conf
A vigilance-free ART network with general geometry internal categories.
IJCNN
Dinani Gomes, Manuel Fernández Delgado, Senén Barro
2005 — conf
Internal Categories with Irregular Geometry and Overlapping in ART Networks.
CAEPIA
Dinani Gomes, Manuel Fernández Delgado, Senén Barro
2000 J jnl
A new approach for TU complex characterization.
IEEE Trans. Biomed. Eng.
Xosé Antón Vila Sobrino, Yi Gang, Jesús María Rodríguez Presedo, Manuel Fernández Delgado, Senén Barro Ameneiro, Marek Malik
2000 B conf
Learning of perceptual states in the design of an adaptive wall-following behavior.
ESANN
Roberto Iglesias, Manuel Fernández Delgado, Senén Barro
1999 — conf
Multichannel Pattern Recognition Neural Network.
IWANN (1)
Manuel Fernández Delgado, Jesús María Rodríguez Presedo, Senén Barro
1998 J jnl
MART: a multichannel ART-based neural network.
IEEE Trans. Neural Networks
Manuel Fernández Delgado, Senén Barro
1997 — conf
Improvement in the Computational Efficiency in the Analysis of Signals by way of Adaptive Time Frequency Distributions.
EUROCAST
Xosé Antón Vila Sobrino, Jesús María Rodríguez Presedo, Manuel Fernández Delgado, Roberto Iglesias, Senén Barro
1997 J jnl
MART: Una Red Neuronal para la clasificación de patrones multicanal.
Inteligencia Artif.
Manuel Fernández Delgado, Carlos Vázquez Regueiro, Eduardo Sánchez Vila, Senén Barro
1996 — conf
Petri Net Representation of Fuzzy Reasoning under Incomplete Information.
ISMVL
Alberto Bugarín, Purificación Cariñena, Manuel Fernández Delgado, Senén Barro