Facultade de Matemáticas
Fakultät
EVA
CERNADAS GARCIA
Profesora titular de universidade
Publikationen, an denen er mitarbeitet EVA CERNADAS GARCIA (42)
2024
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Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification
IEEE Transactions on Neural Networks and Learning Systems
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Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study
Journal of Affective Disorders, Vol. 350, pp. 648-655
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Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images
Scientific reports, Vol. 14, Núm. 1, pp. 2995
2023
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CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study
Biomedicines, Vol. 11, Núm. 8
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MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images
Sustainability (Switzerland), Vol. 15, Núm. 18
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Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D
Neural Processing Letters, Vol. 55, Núm. 5, pp. 5377-5400
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Validation Analysis of Panoramic Dental Application (PDApp) Software as a Tool for Predicting Third Molar Eruption Based on Panoramic Radiograph Images
Applied Sciences (Switzerland), Vol. 13, Núm. 5
2022
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A Machine Learning Approach in Autism Spectrum Disorders: From Sensory Processing to Behavior Problems
Frontiers in Molecular Neuroscience, Vol. 15
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Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression
Expert Systems with Applications, Vol. 206
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Fast Support Vector Classification for Large-Scale Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 10, pp. 6184-6195
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Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification
Neurocomputing, Vol. 489, pp. 1-8
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Quick extreme learning machine for large-scale classification
Neural Computing and Applications, Vol. 34, Núm. 8, pp. 5923-5938
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Recognizing cells in histological images of fish gonads
2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 - Proceedings
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Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients
Frontiers in Neuroinformatics, Vol. 16
2021
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Embedded ethics to teach machine learning courses: An experience
Proceedings - 11th International Conference on Virtual Campus, JICV 2021
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Extreme learning machine with confidence interval based bias initialization
2021 2nd International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2021
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Sterapp: Semiautomatic software for stereological analysis. application in the estimation of fish fecundity
Electronics (Switzerland), Vol. 10, Núm. 12
2020
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CT radiomics in colorectal cancer: Detection of KRAS mutation using texture analysis and machine learning
Applied Sciences (Switzerland), Vol. 10, Núm. 18
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CystAnalyser: A new software tool for the automatic detection and quantification of cysts in polycystic kidney and liver disease, and other cystic disorders
PLoS Computational Biology, Vol. 16, Núm. 10
2019
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An extensive experimental survey of regression methods
Neural Networks, Vol. 111, pp. 11-34