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2020 – today
- 2024
[j26]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): 9906-9923 (2024)- [j25]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) - 2023
- [j24]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): 5377-5400 (2023) - 2022
- [j23]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: 117765 (2022) - [j22]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:
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients. Frontiers Neuroinformatics 16: 807584 (2022) - [j21]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: 1-8 (2022) - [j20]Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Quick extreme learning machine for large-scale classification. Neural Comput. Appl. 34(8): 5923-5938 (2022) - [j19]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): 6184-6195 (2022) - 2021
- [c11]Audi Al-Btoush, Manuel Fernández Delgado, Eva Cernadas, Senén Barro:
Extreme learning machine with confidence interval based bias initialization. IDSTA 2021: 23-30 - 2020
- [j18]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) - [c10]Eva Cernadas, Encina Calvo Iglesias:
Gender perspective in Artificial Intelligence (AI). TEEM 2020: 173-176
2010 – 2019
- 2019
- [j17]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: 110-125 (2019) - [j16]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: 11-34 (2019) - 2018
- [j15]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: 120-133 (2018) - 2017
- [j14]Manisha Sanjay Sirsat, Eva Cernadas, Manuel Fernández Delgado, R. Khan:
Classification of agricultural soil parameters in India. Comput. Electron. Agric. 135: 269-279 (2017) - [j13]Eva Cernadas, Manuel Fernández Delgado, Encarnación González-Rufino, Pilar Carrión:
Influence of normalization and color space to color texture classification. Pattern Recognit. 61: 120-138 (2017) - 2016
- [j12]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: 89-98 (2016) - [j11]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): 555-570 (2016) - 2015
- [c9]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: 743-750 - 2014
- [j10]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): 3133-3181 (2014) - [j9]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: 60-71 (2014) - 2013
- [j8]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): 2391-2407 (2013) - 2011
- [j7]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): 1837-1848 (2011) - [c8]Encarnación González-Rufino, Pilar Carrión, Arno Formella, Manuel Fernández Delgado, Eva Cernadas:
Statistical and Wavelet Based Texture Features for Fish Oocytes Classification. IbPRIA 2011: 403-410 - 2010
- [j6]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): 741-754 (2010) - [c7]Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro:
Fast weight calculation for kernel-based perceptron in two-class classification problems. IJCNN 2010: 1-6 - [c6]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: 1-8
2000 – 2009
- 2009
- [p1]Andrés Caro, Pablo García Rodríguez, Eva Cernadas, Maria Luisa Durán, Teresa Antequera:
Potential Fields as an External force and Algorithmic Improvements in Deformable Models. Progress in Computer Vision and Image Analysis 2009: 69-86 - 2006
- [j5]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): 531-542 (2006) - [c5]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: 853-864 - 2005
- [j4]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): 344-360 (2005) - 2004
- [j3]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): 186-193 (2004) - [c4]María Rodríguez Damián, Eva Cernadas, Arno Formella, Maria Pilar de Sá-Otero:
Pollen Classification using Brightness-Based and Shape-Based Descriptors. ICPR (2) 2004: 212-215 - 2003
- [j2]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): 631 (2003) - [c3]Pilar Carrión, Eva Cernadas, Juan F. Gálvez, Emilia Díaz-Losada:
Determine the Composition of Honeybee Pollen by Texture Classification. IbPRIA 2003: 158-167 - 2002
- [j1]Eva Cernadas, Maria Luisa Durán, Teresa Antequera:
Recognizing marbling in dry-cured Iberian ham by multiscale analysis. Pattern Recognit. Lett. 23(11): 1311-1321 (2002)
1990 – 1999
- 1998
- [c2]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: 205-208 - [c1]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: 479-480
Coauthor Index
aka: Senén Barro Ameneiro
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