Eva Cernadas

Orcid: 0000-0002-1562-2553

According to our database1, Eva Cernadas authored at least 36 papers between 1998 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

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

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
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

Gender perspective in Artificial Intelligence (AI).
Proceedings of the TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality, 2020

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

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

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

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

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

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

2009
Potential Fields as an External force and Algorithmic Improvements in Deformable Models.
Proceedings of the Progress in Computer Vision and Image Analysis, 2009

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

Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

2005
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics.
Comput. Vis. Image Underst., 2005

2004
Classification of honeybee pollen using a multiscale texture filtering scheme.
Mach. Vis. Appl., 2004

Pollen Classification using Brightness-Based and Shape-Based Descriptors.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" [Pattern Recognition Letters 23 (2002) 1311-1321].
Pattern Recognit. Lett., 2003

Determine the Composition of Honeybee Pollen by Texture Classification.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Recognizing marbling in dry-cured Iberian ham by multiscale analysis.
Pattern Recognit. Lett., 2002

1998
Detection of Mammographic Microcalcifications Using a Statistical Model.
Proceedings of the Digital Mammography, 1998

An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement.
Proceedings of the Digital Mammography, 1998


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