C. Aday Curbelo Montañez
Orcid: 0000-0001-5690-2474
According to our database1,
C. Aday Curbelo Montañez
authored at least 22 papers
between 2016 and 2022.
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Bibliography
2022
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation.
IEEE Trans. Emerg. Top. Comput., 2022
2021
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
2020
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure.
IEEE Access, 2020
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity.
IEEE Access, 2020
An Ensemble Detection Model Using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities.
IEEE Access, 2020
Towards an Approach for Fuel Poverty Detection from Gas Smart Meter Data using Decision Tree Learning.
Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
SAERMA: Stacked AutoEncoders Rule Mining Algorithm for the Interpretation of epistatic interactions in GWAS of extreme obesity.
PhD thesis, 2019
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology.
CoRR, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
CoRR, 2018
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
CoRR, 2018
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD).
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
Machine learning approaches for the prediction of obesity using publicly available genetic profiles.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data.
Proceedings of the Intelligent Computing Theories and Application, 2017
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight.
Proceedings of the Intelligent Computing Theories and Application, 2016