Laura A. Zanella-Calzada

Orcid: 0000-0002-8049-8077

According to our database1, Laura A. Zanella-Calzada authored at least 20 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2020
Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información.
Res. Comput. Sci., 2020

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model.
PeerJ Comput. Sci., 2020

Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound.
Mob. Inf. Syst., 2020

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks.
ISPRS Int. J. Geo Inf., 2020

An efficient Harris hawks-inspired image segmentation method.
Expert Syst. Appl., 2020

Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach.
Proceedings of the Advances in Soft Computing, 2020

Convolutional Neural Network for Classification of Diabetic Retinopathy Grade.
Proceedings of the Advances in Soft Computing, 2020

Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
A Preliminary Approach for Finding Linked Determinants between Diabetes and Caries using Genetic Algorithms.
Res. Comput. Sci., 2019

Evaluation of Five Classifiers for Depression Episodes Detection.
Res. Comput. Sci., 2019

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.
Mob. Inf. Syst., 2019

Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018
An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms.
Res. Comput. Sci., 2018

A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition.
ISPRS Int. J. Geo Inf., 2018

Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014.
Proceedings of the International Conference on Electronics, Communications and Computers, 2018

2017
An Analysis of Dietary and Demographic Data in Oral Health, Data from the National Health and Nutrition Examination Survey: A Preliminary Study.
Res. Comput. Sci., 2017

Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD.
Proceedings of the Advances in Computational Intelligence, 2017

Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017


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