Laura A. Zanella-Calzada

发表

Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative

Carlos D. Luna-Gómez, Laura A. Zanella-Calzada, Miguel A. Acosta-García, 2017, Medical Imaging.

Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013–2014

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2018, 2018 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Convolutional Neural Network for Classification of Diabetic Retinopathy Grade

Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, 2020, MICAI.

Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2020, Mob. Inf. Syst..

Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2017, MICAI.

Automatic Detection of Malignant Masses in Digital Mammograms Based on a MCET-HHO Approach

Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Daniel Zaldivar, 2020 .

“Texting & Driving” Detection Using Deep Convolutional Neural Networks

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2019 .

Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2017, Diagnostics.

Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2019, MCPR.

Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2020, Applied Sciences.

Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2019, Mob. Inf. Syst..

A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2018, ISPRS Int. J. Geo Inf..

Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison

Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, 2019, 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Feature Selection and Machine Learning Applied for Alzheimer’s Disease Classification

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2019, IFMBE Proceedings.

Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2020, MICAI.

An efficient Harris hawks-inspired image segmentation method

Laura A. Zanella-Calzada, Loke Kok Foong, Diego Oliva, 2020, Expert Syst. Appl..

Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach

Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros, 2020, Medical Imaging.

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2020, ISPRS Int. J. Geo Inf..

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2020, PeerJ Comput. Sci..

An Analysis of Dietary and Demographic Data in Oral Health, Data from the National Health and Nutrition Examination Survey: A Preliminary Study

Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chavez-Lamas, 2017, Res. Comput. Sci..

Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2021, MCPR.

Audio Features Extraction to Develop a Child Activity Recognition Model Using Support Vector Machine to Monitoring Security in a Smart City

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, 2021, Technological and Industrial Applications Associated With Industry 4.0.