Publikationen, an denen er mitarbeitet EVA CERNADAS GARCIA (45)

2024

  1. Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification

    IEEE Transactions on Neural Networks and Learning Systems

  2. 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

  3. OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models

    FRONTIERS IN ARTIFICIAL INTELLIGENCE, Vol. 7

  4. Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing

    Applied Intelligence, Vol. 54, Núm. 20, pp. 9906-9923

  5. Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images

    Scientific reports, Vol. 14, Núm. 1, pp. 2995

2023

  1. CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study

    Biomedicines, Vol. 11, Núm. 8

  2. MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images

    Sustainability (Switzerland), Vol. 15, Núm. 18

  3. Promoting equality in higher education computer programming courses through cooperative learning

    Proceedings - JICV 2023: 13th International Conference on Virtual Campus

  4. Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

    Neural Processing Letters, Vol. 55, Núm. 5, pp. 5377-5400

  5. 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

  1. A Machine Learning Approach in Autism Spectrum Disorders: From Sensory Processing to Behavior Problems

    Frontiers in Molecular Neuroscience, Vol. 15

  2. Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression

    Expert Systems with Applications, Vol. 206

  3. Fast Support Vector Classification for Large-Scale Problems

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 10, pp. 6184-6195

  4. Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification

    Neurocomputing, Vol. 489, pp. 1-8

  5. Quick extreme learning machine for large-scale classification

    Neural Computing and Applications, Vol. 34, Núm. 8, pp. 5923-5938

  6. Recognizing cells in histological images of fish gonads

    2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 - Proceedings

  7. Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

    Frontiers in Neuroinformatics, Vol. 16

2021

  1. Embedded ethics to teach machine learning courses: An experience

    Proceedings - 11th International Conference on Virtual Campus, JICV 2021

  2. Extreme learning machine with confidence interval based bias initialization

    2021 2nd International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2021

  3. Sterapp: Semiautomatic software for stereological analysis. application in the estimation of fish fecundity

    Electronics (Switzerland), Vol. 10, Núm. 12