Eva Cernadas

41 papers B 2Misc 3Journal 29Unranked 6
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
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 — 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
2020 — conf
Gender perspective in Artificial Intelligence (AI).
TEEM
Eva Cernadas, Encina Calvo Iglesias
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 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
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 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
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
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
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 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
2009 — ch.
Potential Fields as an External force and Algorithmic Improvements in Deformable Models.
Progress in Computer Vision and Image Analysis
Andrés Caro, Pablo García Rodríguez, Eva Cernadas, Maria Luisa Durán, Teresa Antequera
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
2006 — conf
Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images.
ICIAR (2)
Silvia Alén, Eva Cernadas, Arno Formella, Rosario Domínguez, Francisco Saborido-Rey
2005 J jnl
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics.
Comput. Vis. Image Underst.
Eva Cernadas, Pilar Carrión, Pablo García Rodríguez, E. Muriel, Teresa Antequera
2004 J jnl
Classification of honeybee pollen using a multiscale texture filtering scheme.
Mach. Vis. Appl.
Pilar Carrión, Eva Cernadas, Juan F. Gálvez, María Rodríguez Damián, Maria Pilar de Sá-Otero
2004 — conf
Pollen Classification using Brightness-Based and Shape-Based Descriptors.
ICPR (2)
María Rodríguez Damián, Eva Cernadas, Arno Formella, Maria Pilar de Sá-Otero
2003 J jnl
Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" [Pattern Recognition Letters 23 (2002) 1311-1321].
Pattern Recognit. Lett.
Eva Cernadas, Maria Luisa Durán, Teresa Antequera, Antonio J. Plaza
2003 Misc conf
Determine the Composition of Honeybee Pollen by Texture Classification.
IbPRIA
Pilar Carrión, Eva Cernadas, Juan F. Gálvez, Emilia Díaz-Losada
2002 J jnl
Recognizing marbling in dry-cured Iberian ham by multiscale analysis.
Pattern Recognit. Lett.
Eva Cernadas, Maria Luisa Durán, Teresa Antequera
1998 — conf
An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement.
Digital Mammography / IWDM
Eva Cernadas, L. Gómez, P. G. Rodríguez, R. G. Carrión, C. Veiga, Maria Luisa Durán, Juan J. Vidal
1998 — conf
Detection of Mammographic Microcalcifications Using a Statistical Model.
Digital Mammography / IWDM
Eva Cernadas, Reyer Zwiggelaar, Wouter Veldkamp, Tim C. Parr, Susan M. Astley, Christopher J. Taylor, Caroline R. M. Boggis