Manuel Fernández Delgado

Orcid: 0000-0001-5483-9424

Affiliations:
  • University of Santiago de Compostela, Spain


According to our database1, Manuel Fernández Delgado authored at least 49 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D.
Neural Process. Lett., October, 2023

2022
Fast Support Vector Classification for Large-Scale Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Quick extreme learning machine for large-scale classification.
Neural Comput. Appl., 2022

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class.
Inf. Softw. Technol., 2022

Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification.
Neurocomputing, 2022

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients.
Frontiers Neuroinformatics, 2022

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression.
Expert Syst. Appl., 2022

2021
Exploratory study of the impact of project domain and size category on the detection of the God class design smell.
Softw. Qual. J., 2021

Extreme learning machine with confidence interval based bias initialization.
Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

2020
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., 2020

2019
An extensive experimental survey of regression methods.
Neural Networks, 2019

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems.
Neural Comput. Appl., 2019

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces.
Eng. Appl. Artif. Intell., 2019

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

2018
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods.
Comput. Electron. Agric., 2018

2017
Influence of normalization and color space to color texture classification.
Pattern Recognit., 2017

Comparison of a massive and diverse collection of ensembles and other classifiers for oil spill detection in SAR satellite images.
Neural Comput. Appl., 2017

Classification of agricultural soil parameters in India.
Comput. Electron. Agric., 2017

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings.
Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017

2016
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes.
Neural Process. Lett., 2016

Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images.
Comput. Electron. Agric., 2016

2015
Route learning and reproduction in a tour-guide robot.
Robotics Auton. Syst., 2015

A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
Neural Networks, 2014

Do we need hundreds of classifiers to solve real world classification problems?
J. Mach. Learn. Res., 2014

Learning analytics for the prediction of the educational objectives achievement.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary.
Pattern Recognit., 2013

Robust Multi-sensor System for Mobile Robot Localization.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

2012
Evolutionary intelligence in asphalt pavement modeling and quality-of-information.
Prog. Artif. Intell., 2012

2011
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks.
IEEE Trans. Neural Networks, 2011

Rapid infrared multi-spectral systems design using a hyperspectral benchmarking framework.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Statistical and Wavelet Based Texture Features for Fish Oocytes Classification.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
A comparison of several neural networks to predict the execution times in injection molding production for automotive industry.
Neural Comput. Appl., 2010

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin.
Proceedings of the International Joint Conference on Neural Networks, 2010

Fast weight calculation for kernel-based perceptron in two-class classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Handling incomplete information in an evolutionary environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

2007
Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories.
IEEE Trans. Neural Networks, 2007

2006
Automatic detection and classification of grains of pollen based on shape and texture.
IEEE Trans. Syst. Man Cybern. Syst., 2006

2005
Internal Categories with Irregular Geometry and Overlapping in ART Networks.
Proceedings of the Current Topics in Artificial Intelligence, 2005

2000
A new approach for TU complex characterization.
IEEE Trans. Biomed. Eng., 2000

Learning of perceptual states in the design of an adaptive wall-following behavior.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999
Multichannel Pattern Recognition Neural Network.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
MART: a multichannel ART-based neural network.
IEEE Trans. Neural Networks, 1998

1997
MART: Una Red Neuronal para la clasificación de patrones multicanal.
Inteligencia Artif., 1997

Improvement in the Computational Efficiency in the Analysis of Signals by way of Adaptive Time Frequency Distributions.
Proceedings of the Computer Aided Systems Theory, 1997

1996
Petri Net Representation of Fuzzy Reasoning under Incomplete Information.
Proceedings of the 26th IEEE International Symposium on Multiple-Valued Logic, 1996


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