Petri Net Representation of Fuzzy Reasoning under Incomplete Information. - Alberto Bugarín; Purificación Cariñena; Manuel Fernández Delgado; Senén Barro (ISMVL, 1996)

Improvement in the Computational Efficiency in the Analysis of Signals by way of Adaptive Time Frequency Distributions. - Xosé Antón Vila Sobrino; Jesús María Rodríguez Presedo; Manuel Fernández Delgado; Roberto Iglesias; Senén Barro (EUROCAST, 1997)

MART: Una Red Neuronal para la clasificación de patrones multicanal. - Manuel Fernández Delgado; Carlos Vázquez Regueiro; Eduardo Sánchez Vila; Senén Barro (Inteligencia Artif., 1997)

MART: a multichannel ART-based neural network. - Manuel Fernández Delgado; Senén Barro (IEEE Trans. Neural Networks, 1998)

Multichannel Pattern Recognition Neural Network. - Manuel Fernández Delgado; Jesús María Rodríguez Presedo; Senén Barro (IWANN (1), 1999)

Learning of perceptual states in the design of an adaptive wall-following behavior. - Roberto Iglesias; Manuel Fernández Delgado; Senén Barro (ESANN, 2000)

A new approach for TU complex characterization. - Xosé Antón Vila Sobrino; Yi Gang; Jesús María Rodríguez Presedo; Manuel Fernández Delgado; Senén Barro Ameneiro; Marek Malik (IEEE Trans. Biomed. Eng., 2000)

Internal Categories with Irregular Geometry and Overlapping in ART Networks. - Dinani Gomes; Manuel Fernández Delgado; Senén Barro (CAEPIA, 2005)

A vigilance-free ART network with general geometry internal categories. - Dinani Gomes; Manuel Fernández Delgado; Senén Barro (IJCNN, 2005)

Automatic detection and classification of grains of pollen based on shape and texture. - María Rodríguez Damián; Eva Cernadas; Arno Formella; Manuel Fernández Delgado; Maria Pilar de Sá-Otero (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories. - Dinani Gomes Amorim; Manuel Fernández Delgado; Senén Barro Ameneiro (IEEE Trans. Neural Networks, 2007)

Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF. - M. Reboreda; Manuel Fernández Delgado; Senén Barro (IWINAC (2), 2009)

Handling incomplete information in an evolutionary environment. - Jorge Ribeiro 001; José Machado 001; António Abelha; Manuel Fernández Delgado; José Neves 001 (IEEE Congress on Evolutionary Computation, 2010)

Fast weight calculation for kernel-based perceptron in two-class classification problems. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro (IJCNN, 2010)

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro (IJCNN, 2010)

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry. - Manuel Fernández Delgado; M. Reboreda; Eva Cernadas; Senén Barro (Neural Comput. Appl., 2010)

Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging. - Ángel Dacal-Nieto; Arno Formella; Pilar Carrión; Esteban Vázquez-Fernández; Manuel Fernández Delgado (CAIP (2), 2011)

Statistical and Wavelet Based Texture Features for Fish Oocytes Classification. - Encarnación González-Rufino; Pilar Carrión; Arno Formella; Manuel Fernández Delgado; Eva Cernadas (IbPRIA, 2011)

Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System. - Ángel Dacal-Nieto; Arno Formella; Pilar Carrión; Esteban Vázquez-Fernández; Manuel Fernández Delgado (ICIAP (2), 2011)

Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework. - Ángel Dacal-Nieto; Arno Formella; Pilar Carrión; Esteban Vázquez-Fernández; Manuel Fernández Delgado (ICME, 2011)

Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro Ameneiro (IEEE Trans. Neural Networks, 2011)

Evolutionary intelligence in asphalt pavement modeling and quality-of-information. - José Neves 001; Jorge Ribeiro 001; Paulo Pereira; Victor Alves; José Machado 001; António Abelha; Paulo Novais; Cesar Analide; Manuel Santos 001; Manuel Fernández Delgado (Prog. Artif. Intell., 2012)

Robust Multi-sensor System for Mobile Robot Localization. - Adrián Canedo-Rodriguez; Víctor Alvarez-Santos; D. Santos-Saavedra; Cristina Gamallo; Manuel Fernández Delgado; Roberto Iglesias; Carlos Vázquez Regueiro (IWINAC (2), 2013)

Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary. - Encarnación González-Rufino; Pilar Carrión; Eva Cernadas; Manuel Fernández Delgado; R. Domínguez-Petit (Pattern Recognit., 2013)

Learning analytics for the prediction of the educational objectives achievement. - Manuel Fernández Delgado; Manuel Mucientes; Borja Vázquez-Barreiros; Manuel Lama (FIE, 2014)

Do we need hundreds of classifiers to solve real world classification problems? - Manuel Fernández Delgado; Eva Cernadas; Senén Barro; Dinani Gomes Amorim (J. Mach. Learn. Res., 2014)

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. - Manuel Fernández Delgado; Eva Cernadas; Senén Barro; Jorge Ribeiro 001; José Neves 001 (Neural Networks, 2014)

A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis. - J. M. Pintor; Pilar Carrión; Encarnación González-Rufino; Arno Formella; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; S. Rábade-Uberos (IbPRIA, 2015)

Route learning and reproduction in a tour-guide robot. - Víctor Alvarez-Santos; Adrián Canedo-Rodriguez; Roberto Iglesias; Xose Manuel Pardo; Carlos Vázquez Regueiro; Manuel Fernández Delgado (Robotics Auton. Syst., 2015)

Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images. - J. M. Pintor; Pilar Carrión; Eva Cernadas; Encarnación González-Rufino; Arno Formella; Manuel Fernández Delgado; R. Domínguez-Petit; S. Rábade-Uberos (Comput. Electron. Agric., 2016)

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. - M. Pérez-Ortiz 001; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2016)

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. - Sadi Alawadi; David Mera; Manuel Fernández Delgado; José A. Taboada 001 (Smart-CT, 2017)

Classification of agricultural soil parameters in India. - Manisha Sanjay Sirsat; Eva Cernadas; Manuel Fernández Delgado; R. Khan (Comput. Electron. Agric., 2017)

Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images. - David Mera; Manuel Fernández Delgado; José Manuel Cotos; José Ramon Rios Viqueira; Senén Barro (Neural Comput. Appl., 2017)

Influence of normalization and color space to color texture classification. - Eva Cernadas; Manuel Fernández Delgado; Encarnación González-Rufino; Pilar Carrión (Pattern Recognit., 2017)

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods. - Manisha Sanjay Sirsat; Eva Cernadas; Manuel Fernández Delgado; Senén Barro (Comput. Electron. Agric., 2018)

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José Manuel Cotos; José A. Taboada 001 (SEKE, 2019)

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces. - María Mar Ávila; Maria Luisa Durán; Daniel Caballero; Teresa Antequera; Trinidad Pérez-Palacios; Eva Cernadas; Manuel Fernández Delgado (Eng. Appl. Artif. Intell., 2019)

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. - Sadi Alawadi; Manuel Fernández Delgado; David Mera; Senén Barro (Neural Comput. Appl., 2019)

An extensive experimental survey of regression methods. - Manuel Fernández Delgado; Manisha Sanjay Sirsat; Eva Cernadas; Sadi Alawadi; Senén Barro; Manuel Febrero-Bande (Neural Networks, 2019)

CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders. - Adrián Cordido; Eva Cernadas; Manuel Fernández Delgado; Miguel A. García-González (PLoS Comput. Biol., 2020)

Extreme learning machine with confidence interval based bias initialization. - Audi Al-Btoush; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (IDSTA, 2021)

Exploratory study of the impact of project domain and size category on the detection of the God class design smell. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José R. R. Viqueira; José A. Taboada 001 (Softw. Qual. J., 2021)

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression. - Eva Cernadas; Manuel Fernández Delgado; Elena Fulladosa; Israel Muñoz (Expert Syst. Appl., 2022)

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients. - 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 001; Pino Alonso; Ángel Carracedo; et al. (Frontiers Neuroinformatics, 2022)

Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification. - Ziad Akram-Ali-Hammouri; Manuel Fernández Delgado; Audi Albtoush; Eva Cernadas; Senén Barro (Neurocomputing, 2022)

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. - Khalid Alkharabsheh; Sadi Alawadi; Victor R. Kebande; Yania Crespo; Manuel Fernández Delgado; José A. Taboada 001 (Inf. Softw. Technol., 2022)

Quick extreme learning machine for large-scale classification. - Audi Al-Btoush; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (Neural Comput. Appl., 2022)

Fast Support Vector Classification for Large-Scale Problems. - Ziad Akram-Ali-Hammouri; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D. - Heba Alateyat; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (Neural Process. Lett., 2023)

OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models. - Zakaria A. Al-Tarawneh; Maite Pena-Cristóbal; Eva Cernadas; José Manuel Suarez-Peñaranda; Manuel Fernández Delgado; Almoutaz Mbaidin; Mercedes Gallas-Torreira; Pilar Gándara-Vila (Frontiers Artif. Intell., 2024)

Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing. - Manuel Fernández Delgado; Sara Cruz; Eva Cernadas; Heba Alateyat; María Tubío-Fungueiriño; Adriana Sampaio; Ángel Carracedo; Montse Fernández-Prieto (Appl. Intell., 2024)

Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images. - Manisha Sanjay Sirsat; Diego Isla-Cernadas; Eva Cernadas; Manuel Fernández Delgado (Knowl. Based Syst., 2025)

Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification. - Diego Isla-Cernadas; Manuel Fernández Delgado; Eva Cernadas; Manisha Sanjay Sirsat; Haitham Maarouf; Senén Barro (IEEE Trans. Neural Networks Learn. Syst., 2025)