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ORCIDC. Aday Curbelo Montañez
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Books and Theses
- 2019
[b1]C. Aday Curbelo Montañez:
SAERMA: Stacked AutoEncoders Rule Mining Algorithm for the Interpretation of epistatic interactions in GWAS of extreme obesity. Liverpool John Moores University, UK, 2019
Journal Articles
- 2022
- [j7]Carl Chalmers
, Paul Fergus, C. Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall:
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Trans. Emerg. Top. Comput. 10(1): 157-169 (2022) - 2021
- [j6]Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles:
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. 5(6): 882-892 (2021) - 2020
- [j5]William Hurst, Casimiro Aday Curbelo Montañez, Nathan Shone, Dhiya Al-Jumeily:
An Ensemble Detection Model Using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities. IEEE Access 8: 7877-7898 (2020) - [j4]Casimiro Aday Curbelo Montañez, William Hurst:
A Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure. IEEE Access 8: 22525-22536 (2020) - [j3]Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani:
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access 8: 112379-112392 (2020) - [j2]Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles:
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 668-678 (2020) - 2019
- [j1]Aaron Boddy, William Hurst, Michael Mackay, Abdennour El Rhalibi, Thar Baker, Casimiro Aday Curbelo Montañez:
An Investigation into Healthcare-Data Patterns. Future Internet 11(2): 30 (2019)
Conference and Workshop Papers
- 2020
- [c11]Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez:
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. IJCNN 2020: 1-8 - [c10]William Hurst, Casimiro Aday Curbelo Montañez, Nathan Shone:
Towards an Approach for Fuel Poverty Detection from Gas Smart Meter Data using Decision Tree Learning. IMMS 2020: 23-28 - 2019
- [c9]William Hurst, Casimiro Aday Curbelo Montañez, Dhiya Al-Jumeily:
Age Group Detection in Stochastic Gas Smart Meter Data Using Decision-Tree Learning. ICIC (3) 2019: 593-605 - 2018
- [c8]Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Jade Hind:
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CIBB 2018: 262-276 - [c7]Jade Hind, Abir Hussain, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Carl Chalmers, Paulo Lisboa:
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). DeSE 2018: 12-17 - [c6]Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers:
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. IJCNN 2018: 1-8 - 2017
- [c5]Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Jade Hind:
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. ICIC (2) 2017: 325-336 - [c4]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Mehmet Tevfik Dorak, Rosni Abdullah:
Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. ICIC (2) 2017: 350-362 - [c3]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi:
Machine learning approaches for the prediction of obesity using publicly available genetic profiles. IJCNN 2017: 2743-2750 - [c2]Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa:
A robust method for the interpretation of genomic data. IJCNN 2017: 3385-3390 - 2016
- [c1]C. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar:
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. ICIC (1) 2016: 808-819
Informal and Other Publications
- 2019
- [i7]Carl Chalmers, Paul Fergus, Casimiro Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall:
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. CoRR abs/1903.12080 (2019) - [i6]Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles:
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. CoRR abs/1908.02338 (2019) - [i5]Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani:
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. CoRR abs/1908.10166 (2019) - [i4]Carl Chalmers, Paul Fergus, Serge A. Wich, C. Aday Curbelo Montañez:
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. CoRR abs/1910.07360 (2019) - 2018
- [i3]Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers:
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. CoRR abs/1801.02977 (2018) - [i2]Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers:
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. CoRR abs/1804.03198 (2018) - [i1]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily:
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CoRR abs/1804.06262 (2018)
Coauthor Index
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