Eva Cernadas

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 19

Top Topics

Texture Analysis

Regression Methods

Texture Classification

Top Venues

Comput. Electron. Agric.

Neural Process. Lett.

Neural Networks

Frontiers Neuroinformatics

Publications

Manuel Fernández Delgado, Sara Cruz, Eva Cernadas, Heba Alateyat, María Tubío-Fungueiriño, Adriana Sampaio, Ángel Carracedo, Montse Fernández-Prieto
Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing. Appl. Intell. 54 (20) (2024)
Zakaria A. Al-Tarawneh, Maite Pena-Cristóbal, Eva Cernadas, José Manuel Suarez-Peñaranda, Manuel Fernández-Delgado, Almoutaz Mbaidin, Mercedes Gallas-Torreira, Pilar Gándara-Vila
OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models. Frontiers Artif. Intell. 7 (2024)
Heba Alateyat, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D. Neural Process. Lett. 55 (5) (2023)
Eva Cernadas, Manuel Fernández Delgado, Elena Fulladosa, Israel Muñoz
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression. Expert Syst. Appl. 206 (2022)
Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
Quick extreme learning machine for large-scale classification. Neural Comput. Appl. 34 (8) (2022)
Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
Fast Support Vector Classification for Large-Scale Problems. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Audi Albtoush, Eva Cernadas, Senén Barro
Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification. Neurocomputing 489 (2022)
María Tubío-Fungueiriño, Eva Cernadas, Óscar F. Gonçalves, Cinto Segalas, Sara Bertolín, Lorea Mar-Barrutia, Eva Real, Manuel Fernández Delgado, José M. Menchón, Sandra Carvalho, Pino Alonso, Angel Carracedo, Montse Fernández-Prieto
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients. Frontiers Neuroinformatics 16 (2022)
Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro
Extreme learning machine with confidence interval based bias initialization. IDSTA (2021)
Eva Cernadas, Encina Calvo Iglesias
Gender perspective in Artificial Intelligence (AI). TEEM (2020)
Adrián Cordido, Eva Cernadas, Manuel Fernández Delgado, Miguel A. García-González
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. 16 (10) (2020)
Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande
An extensive experimental survey of regression methods. Neural Networks 111 (2019)
María Mar Ávila, Maria Luisa Durán, Daniel Caballero, Teresa Antequera, Trinidad Pérez-Palacios, Eva Cernadas, Manuel Fernández Delgado
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces. Eng. Appl. Artif. Intell. 82 (2019)
Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, Senén Barro
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods. Comput. Electron. Agric. 154 (2018)
Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, R. Khan
Classification of agricultural soil parameters in India. Comput. Electron. Agric. 135 (2017)
Eva Cernadas, Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión
Influence of normalization and color space to color texture classification. Pattern Recognit. 61 (2017)
M. Pérez-Ortiz, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. Neural Process. Lett. 44 (2) (2016)
J. M. Pintor, Pilar Carrión, Eva Cernadas, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, R. Domínguez-Petit, S. Rábade-Uberos
Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images. Comput. Electron. Agric. 125 (2016)
J. M. Pintor, Pilar Carrión, Encarnación González-Rufino, Arno Formella, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, S. Rábade-Uberos
A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis. IbPRIA (2015)
Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Jorge Ribeiro, José Neves
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. Neural Networks 50 (2014)
Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Dinani Gomes Amorim
Do we need hundreds of classifiers to solve real world classification problems? J. Mach. Learn. Res. 15 (1) (2014)
Encarnación González-Rufino, Pilar Carrión, Eva Cernadas, Manuel Fernández Delgado, R. Domínguez-Petit
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary. Pattern Recognit. 46 (9) (2013)
Encarnación González-Rufino, Pilar Carrión, Arno Formella, Manuel Fernández Delgado, Eva Cernadas
Statistical and Wavelet Based Texture Features for Fish Oocytes Classification. IbPRIA (2011)
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro Ameneiro
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. IEEE Trans. Neural Networks 22 (11) (2011)
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro
A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin. IJCNN (2010)
Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro
Fast weight calculation for kernel-based perceptron in two-class classification problems. IJCNN (2010)
Manuel Fernández Delgado, M. Reboreda, Eva Cernadas, Senén Barro
A comparison of several neural networks to predict the execution times in injection molding production for automotive industry. Neural Comput. Appl. 19 (5) (2010)
S. Alén, Eva Cernadas, Arno Formella, R. Domínguez-Petit, F. Saborido-Rey
Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images. ICIAR (2) (2006)
María Rodríguez Damián, Eva Cernadas, Arno Formella, Manuel Fernández Delgado, Maria Pilar de Sá-Otero
Automatic detection and classification of grains of pollen based on shape and texture. IEEE Trans. Syst. Man Cybern. Syst. 36 (4) (2006)
Eva Cernadas, Pilar Carrión, Pablo García Rodríguez, E. Muriel, Teresa Antequera
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics. Comput. Vis. Image Underst. 98 (2) (2005)
María Rodríguez Damián, Eva Cernadas, Arno Formella, Maria Pilar de Sá-Otero
Pollen Classification using Brightness-Based and Shape-Based Descriptors. ICPR (2) (2004)
Pilar Carrión, Eva Cernadas, Juan F. Gálvez, María Rodríguez Damián, Maria Pilar de Sá-Otero
Classification of honeybee pollen using a multiscale texture filtering scheme. Mach. Vis. Appl. 15 (4) (2004)
Pilar Carrión, Eva Cernadas, Juan F. Gálvez, Emilia Díaz-Losada
Determine the Composition of Honeybee Pollen by Texture Classification. IbPRIA (2003)
Eva Cernadas, Maria Luisa Durán, Teresa Antequera, Antonio J. Plaza
Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" [Pattern Recognition Letters 23 (2002) 1311-1321]. Pattern Recognit. Lett. 24 (1-3) (2003)
Eva Cernadas, Maria Luisa Durán, Teresa Antequera
Recognizing marbling in dry-cured Iberian ham by multiscale analysis. Pattern Recognit. Lett. 23 (11) (2002)
Eva Cernadas, L. Gómez, P. G. Rodríguez, R. G. Carrión, C. Veiga, Maria Luisa Durán, Juan J. Vidal
An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement. Digital Mammography / IWDM (1998)
Eva Cernadas, Reyer Zwiggelaar, Wouter Veldkamp, Tim C. Parr, Susan M. Astley, Christopher J. Taylor, Caroline R. M. Boggis
Detection of Mammographic Microcalcifications Using a Statistical Model. Digital Mammography / IWDM (1998)