Laura A. Zanella-Calzada
Orcid: 0000-0002-8049-8077
According to our database1,
Laura A. Zanella-Calzada
authored at least 21 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Biomedical Event Extraction Based on Transformers and Knowledge Graphs. (Extraction d'événements biomédicaux basée sur des transformers et des graphes de connaissances).
PhD thesis, 2023
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
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
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
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