Manuel Fernández Delgado

发表

Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF

Senén Barro, M. Reboreda, Manuel Fernández Delgado, 2009, IWINAC.

Evolutionary intelligence in asphalt pavement modeling and quality-of-information

Manuel Filipe Santos, José Neves, António Abelha, 2011, Progress in Artificial Intelligence.

Route learning and reproduction in a tour-guide robot

Xose Manuel Pardo, Roberto Iglesias, Manuel Fernández Delgado, 2015, Robotics Auton. Syst..

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings

José A. Taboada, Manuel Fernández Delgado, Sadi Alawadi, 2017, Smart-CT.

Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary

Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión, 2013, Pattern Recognit..

Learning analytics for the prediction of the educational objectives achievement

Manuel Mucientes, Manuel Lama, Manuel Fernández Delgado, 2014, 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.

MART: Una Red Neuronal para la clasificación de patrones multicanal

Senén Barro, Eduardo Sánchez Vila, Manuel Fernández Delgado, 1997, Inteligencia Artif..

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

Senén Barro, Jorge Ribeiro, Manuel Fernández Delgado, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Learning of perceptual states in the design of an adaptive wall-following behavior

Senén Barro, Roberto Iglesias, Manuel Fernández Delgado, 2000, ESANN.

Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories

Senén Barro, Manuel Fernández Delgado, Dinani Gomes Amorim, 2007, IEEE Transactions on Neural Networks.

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

Senén Barro, Manuel Fernández Delgado, Sadi Alawadi, 2019, Neural Computing and Applications.

Classification of agricultural soil parameters in India

Manuel Fernández Delgado, Eva Cernadas, R. Khan, 2017, Comput. Electron. Agric..

A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis

Arno Formella, Manuel Fernández Delgado, Encarnación González-Rufino, 2015, IbPRIA.

Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System

Arno Formella, Manuel Fernández Delgado, Esteban Vázquez-Fernández, 2011, ICIAP.

Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging

Arno Formella, Manuel Fernández Delgado, Esteban Vázquez-Fernández, 2011, CAIP.

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces

Manuel Fernández Delgado, Maria Luisa Durán, Eva Cernadas, 2019, Eng. Appl. Artif. Intell..

Multichannel Pattern Recognition Neural Network

Senén Barro, Manuel Fernández Delgado, Jesús María Rodríguez Presedo, 1999, IWANN.

A new approach for TU complex characterization

Senén Barro, Yi Gang, Xosé Antón Vila Sobrino, 2000, IEEE Transactions on Biomedical Engineering.

Internal Categories with Irregular Geometry and Overlapping in ART Networks

Senén Barro, Manuel Fernández Delgado, Dinani Gomes, 2005, CAEPIA.

Statistical and Wavelet Based Texture Features for Fish Oocytes Classification

Arno Formella, Manuel Fernández Delgado, Encarnación González-Rufino, 2011, IbPRIA.

Do we need hundreds of classifiers to solve real world classification problems?

Senén Barro, Manuel Fernández Delgado, Eva Cernadas, 2014, J. Mach. Learn. Res..

Handling incomplete information in an evolutionary environment

António Abelha, José Machado, Manuel Fernández Delgado, 2010, IEEE Congress on Evolutionary Computation.

Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images

Arno Formella, Manuel Fernández Delgado, Encarnación González-Rufino, 2016, Comput. Electron. Agric..

Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images

Senén Barro, José Manuel Cotos, José Ramon Rios Viqueira, 2017, Neural Computing and Applications.

Influence of normalization and color space to color texture classification

Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión, 2017, Pattern Recognit..

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

Senén Barro, Manuel Fernández Delgado, Eva Cernadas, 2018, Comput. Electron. Agric..

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

José Neves, Senén Barro, Jorge Ribeiro, 2014, Neural Networks.

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

Senén Barro, M. Reboreda, Manuel Fernández Delgado, 2010, Neural Computing and Applications.

An extensive experimental survey of regression methods

Senén Barro, Manuel Fernández Delgado, Sadi Alawadi, 2019, Neural Networks.

Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks

Senén Barro, Jorge Ribeiro, Manuel Fernández Delgado, 2011, IEEE Transactions on Neural Networks.

MART: a multichannel ART-based neural network

Senén Barro, Manuel Fernández Delgado, 1998, IEEE Trans. Neural Networks.

Fast weight calculation for kernel-based perceptron in two-class classification problems

Senén Barro, Jorge Ribeiro, Manuel Fernández Delgado, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Fernández Delgado, 2015, Neural Processing Letters.

Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework

Arno Formella, Manuel Fernández Delgado, Esteban Vázquez-Fernández, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning

José Manuel Cotos, Manuel Fernández Delgado, Yania Crespo, 2019, SEKE.

Robust Multi-sensor System for Mobile Robot Localization

Roberto Iglesias, Manuel Fernández Delgado, Víctor Alvarez-Santos, 2013, IWINAC.

Improvement in the Computational Efficiency in the Analysis of Signals by way of Adaptive Time Frequency Distributions

Senén Barro, Xosé Antón Vila Sobrino, Roberto Iglesias, 1997, EUROCAST.

Exploratory study of the impact of project domain and size category on the detection of the God class design smell

José A. Taboada, Manuel Fernández Delgado, Yania Crespo, 2021, Software Quality Journal.

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

Victor R. Kebande, José A. Taboada, Manuel Fernández Delgado, 2021, Inf. Softw. Technol..

Extreme learning machine with confidence interval based bias initialization

Senén Barro, Manuel Fernández Delgado, Eva Cernadas, 2021, 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA).