A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. - C. Aday Curbelo Montañez; Paul Fergus; Abir Jaafar Hussain; Dhiya Al-Jumeily; B. Abdulaimma; Haya Al-Askar (ICIC (1), 2016)

Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. - Basma Abdulaimma; Abir Hussain; Paul Fergus; Dhiya Al-Jumeily; Casimiro Aday Curbelo Montañez; Jade Hind (ICIC (2), 2017)

Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; Mehmet Tevfik Dorak; Rosni Abdullah (ICIC (2), 2017)

A robust method for the interpretation of genomic data. - Jade Hind; Abir Jaafar Hussain; Dhiya Al-Jumeily; Basma Abdulaimma; Casimiro Aday Curbelo Montañez; Paulo J. G. Lisboa (IJCNN, 2017)

Machine learning approaches for the prediction of obesity using publicly available genetic profiles. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; Basma Abdulaimma; Jade Hind; Naeem Radi (IJCNN, 2017)

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Carl Chalmers; Jade Hind (CIBB, 2018)

Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). - Jade Hind; Abir Hussain; Dhiya Al-Jumeily; Casimiro Aday Curbelo Montañez; Carl Chalmers; Paulo Lisboa (DeSE, 2018)

Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. - Casimiro Aday Curbelo Montañez; Paul Fergus; Almudena Curbelo Montañez; Abir Hussain; Dhiya Al-Jumeily; Carl Chalmers (IJCNN, 2018)

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. - Paul Fergus; Casimiro Aday Curbelo Montañez; Basma Abdulaimma; Paulo Lisboa; Carl Chalmers (CoRR, 2018)

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily (CoRR, 2018)

Age Group Detection in Stochastic Gas Smart Meter Data Using Decision-Tree Learning. - William Hurst; Casimiro Aday Curbelo Montañez; Dhiya Al-Jumeily (ICIC (3), 2019)

Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. - Carl Chalmers; Paul Fergus; Serge A. Wich; C. Aday Curbelo Montañez (CoRR, 2019)

An Investigation into Healthcare-Data Patterns. - Aaron Boddy; William Hurst; Michael Mackay 001; Abdennour El Rhalibi; Thar Baker; Casimiro Aday Curbelo Montañez (Future Internet, 2019)

SAERMA: Stacked AutoEncoders Rule Mining Algorithm for the Interpretation of epistatic interactions in GWAS of extreme obesity. - C. Aday Curbelo Montañez (2019)

Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. - Basma Abdulaimma; Paul Fergus; Carl Chalmers; Casimiro Aday Curbelo Montañez (IJCNN, 2020)

Towards an Approach for Fuel Poverty Detection from Gas Smart Meter Data using Decision Tree Learning. - William Hurst; Casimiro Aday Curbelo Montañez; Nathan Shone (IMMS, 2020)

An Ensemble Detection Model Using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities. - William Hurst; Casimiro Aday Curbelo Montañez; Nathan Shone; Dhiya Al-Jumeily (IEEE Access, 2020)

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. - Casimiro Aday Curbelo Montañez; Paul Fergus; Carl Chalmers; Nurul Hashimah Ahamed Hassain Malim; Basma Abdulaimma; Denis Reilly 001; Francesco Falciani (IEEE Access, 2020)

A Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure. - Casimiro Aday Curbelo Montañez; William Hurst (IEEE Access, 2020)

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. - Paul Fergus; Casimiro Aday Curbelo Montañez; Basma Abdulaimma; Paulo Lisboa; Carl Chalmers; Beth Pineles (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. - Paul Fergus; Carl Chalmers; Casimiro Aday Curbelo Montañez; Denis Reilly 001; Paulo Lisboa; Beth Pineles (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. - Carl Chalmers; Paul Fergus; C. Aday Curbelo Montañez; Sudip Sikdar; Freya Ball; Bryony Kendall (IEEE Trans. Emerg. Top. Comput., 2022)