An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement. - Eva Cernadas; L. Gómez; P. G. Rodríguez; R. G. Carrión; C. Veiga; Maria Luisa Durán; Juan J. Vidal (Digital Mammography / IWDM, 1998)

Detection of Mammographic Microcalcifications Using a Statistical Model. - Eva Cernadas; Reyer Zwiggelaar; Wouter Veldkamp; Tim C. Parr; Susan M. Astley; Christopher J. Taylor 001; Caroline R. M. Boggis (Digital Mammography / IWDM, 1998)

Recognizing marbling in dry-cured Iberian ham by multiscale analysis. - Eva Cernadas; Maria Luisa Durán; Teresa Antequera (Pattern Recognit. Lett., 2002)

Determine the Composition of Honeybee Pollen by Texture Classification. - Pilar Carrión; Eva Cernadas; Juan F. Gálvez; Emilia Díaz-Losada (IbPRIA, 2003)

Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" [Pattern Recognition Letters 23 (2002) 1311-1321]. - Eva Cernadas; Maria Luisa Durán; Teresa Antequera; Antonio J. Plaza (Pattern Recognit. Lett., 2003)

Pollen Classification using Brightness-Based and Shape-Based Descriptors. - María Rodríguez Damián; Eva Cernadas; Arno Formella; Maria Pilar de Sá-Otero (ICPR (2), 2004)

Classification of honeybee pollen using a multiscale texture filtering scheme. - Pilar Carrión; Eva Cernadas; Juan F. Gálvez; María Rodríguez Damián; Maria Pilar de Sá-Otero (Mach. Vis. Appl., 2004)

Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics. - Eva Cernadas; Pilar Carrión; Pablo García Rodríguez; E. Muriel; Teresa Antequera (Comput. Vis. Image Underst., 2005)

Comparison of Region and Edge Segmentation Approaches to Recognize Fish Oocytes in Histological Images. - S. Alén; Eva Cernadas; Arno Formella; R. Domínguez-Petit; F. Saborido-Rey (ICIAR (2), 2006)

Automatic detection and classification of grains of pollen based on shape and texture. - María Rodríguez Damián; Eva Cernadas; Arno Formella; Manuel Fernández Delgado; Maria Pilar de Sá-Otero (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Potential Fields as an External force and Algorithmic Improvements in Deformable Models. - Andrés Caro; Pablo García Rodríguez; Eva Cernadas; Maria Luisa Durán; Teresa Antequera (Progress in Computer Vision and Image Analysis, 2009)

Fast weight calculation for kernel-based perceptron in two-class classification problems. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro (IJCNN, 2010)

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro (IJCNN, 2010)

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry. - Manuel Fernández Delgado; M. Reboreda; Eva Cernadas; Senén Barro (Neural Comput. Appl., 2010)

Statistical and Wavelet Based Texture Features for Fish Oocytes Classification. - Encarnación González-Rufino; Pilar Carrión; Arno Formella; Manuel Fernández Delgado; Eva Cernadas (IbPRIA, 2011)

Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. - Manuel Fernández Delgado; Jorge Ribeiro 001; Eva Cernadas; Senén Barro Ameneiro (IEEE Trans. Neural Networks, 2011)

Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary. - Encarnación González-Rufino; Pilar Carrión; Eva Cernadas; Manuel Fernández Delgado; R. Domínguez-Petit (Pattern Recognit., 2013)

Do we need hundreds of classifiers to solve real world classification problems? - Manuel Fernández Delgado; Eva Cernadas; Senén Barro; Dinani Gomes Amorim (J. Mach. Learn. Res., 2014)

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. - Manuel Fernández Delgado; Eva Cernadas; Senén Barro; Jorge Ribeiro 001; José Neves 001 (Neural Networks, 2014)

A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis. - J. M. Pintor; Pilar Carrión; Encarnación González-Rufino; Arno Formella; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; S. Rábade-Uberos (IbPRIA, 2015)

Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images. - J. M. Pintor; Pilar Carrión; Eva Cernadas; Encarnación González-Rufino; Arno Formella; Manuel Fernández Delgado; R. Domínguez-Petit; S. Rábade-Uberos (Comput. Electron. Agric., 2016)

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. - M. Pérez-Ortiz 001; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2016)

Classification of agricultural soil parameters in India. - Manisha Sanjay Sirsat; Eva Cernadas; Manuel Fernández Delgado; R. Khan (Comput. Electron. Agric., 2017)

Influence of normalization and color space to color texture classification. - Eva Cernadas; Manuel Fernández Delgado; Encarnación González-Rufino; Pilar Carrión (Pattern Recognit., 2017)

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods. - Manisha Sanjay Sirsat; Eva Cernadas; Manuel Fernández Delgado; Senén Barro (Comput. Electron. Agric., 2018)

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces. - María Mar Ávila; Maria Luisa Durán; Daniel Caballero; Teresa Antequera; Trinidad Pérez-Palacios; Eva Cernadas; Manuel Fernández Delgado (Eng. Appl. Artif. Intell., 2019)

An extensive experimental survey of regression methods. - Manuel Fernández Delgado; Manisha Sanjay Sirsat; Eva Cernadas; Sadi Alawadi; Senén Barro; Manuel Febrero-Bande (Neural Networks, 2019)

Gender perspective in Artificial Intelligence (AI). - Eva Cernadas; Encina Calvo Iglesias (TEEM, 2020)

CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders. - Adrián Cordido; Eva Cernadas; Manuel Fernández Delgado; Miguel A. García-González (PLoS Comput. Biol., 2020)

Extreme learning machine with confidence interval based bias initialization. - Audi Al-Btoush; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (IDSTA, 2021)

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression. - Eva Cernadas; Manuel Fernández Delgado; Elena Fulladosa; Israel Muñoz (Expert Syst. Appl., 2022)

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients. - 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 001; Pino Alonso; Ángel Carracedo; et al. (Frontiers Neuroinformatics, 2022)

Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification. - Ziad Akram-Ali-Hammouri; Manuel Fernández Delgado; Audi Albtoush; Eva Cernadas; Senén Barro (Neurocomputing, 2022)

Quick extreme learning machine for large-scale classification. - Audi Al-Btoush; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (Neural Comput. Appl., 2022)

Fast Support Vector Classification for Large-Scale Problems. - Ziad Akram-Ali-Hammouri; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D. - Heba Alateyat; Manuel Fernández Delgado; Eva Cernadas; Senén Barro (Neural Process. Lett., 2023)

OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models. - Zakaria A. Al-Tarawneh; Maite Pena-Cristóbal; Eva Cernadas; José Manuel Suarez-Peñaranda; Manuel Fernández Delgado; Almoutaz Mbaidin; Mercedes Gallas-Torreira; Pilar Gándara-Vila (Frontiers Artif. Intell., 2024)

Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing. - Manuel Fernández Delgado; Sara Cruz; Eva Cernadas; Heba Alateyat; María Tubío-Fungueiriño; Adriana Sampaio; Ángel Carracedo; Montse Fernández-Prieto (Appl. Intell., 2024)

Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images. - Manisha Sanjay Sirsat; Diego Isla-Cernadas; Eva Cernadas; Manuel Fernández Delgado (Knowl. Based Syst., 2025)

Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification. - Diego Isla-Cernadas; Manuel Fernández Delgado; Eva Cernadas; Manisha Sanjay Sirsat; Haitham Maarouf; Senén Barro (IEEE Trans. Neural Networks Learn. Syst., 2025)