Journal article

Montenaz C, Fergus P, Chalmers C, Malim N, Abdulaimma B, Reilly D, falciani F. 2020. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity IEEE Access, DOI Author Url Publisher Url Public Url

Boddy A, Hurst W, MacKay M, El Rhalibi A, Baker T, Curbelo Montañez CA. 2019. An Investigation into Healthcare-Data Patterns Future Internet, 11 DOI Publisher Url Public Url

Fergus P, Curbelo Montanez C, Abdulaimma B, Lisboa P, Chalmers C, Pineless B. 2018. Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17 :668-678 DOI Author Url Publisher Url Public Url

Thesis/Dissertation

Curbelo Montanez C. 2019. SAERMA: Stacked Autoencoders Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS of Extreme Obesity Fergus P, Chalmers C. Public Url

Conference publication

Curbelo Montañez CA, Fergus P, Montañez AC, Hussain A, Al-Jumeily D, Chalmers C. 2018. Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs 2018 International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence DOI Author Url Publisher Url Public Url

Curbelo Montañez CA, Fergus P, Hussain A, Al-Jumeily D. 2017. Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles Neural Networks (IJCNN), 2017 International Joint Conference on Neural Network DOI Author Url Publisher Url Public Url

Lisboa P, Hind J, Hussain A, Al-Jumeily D. 2017. A Robust Method for the Interpretation of Genomic Data 2017 International Joint Conference on Neural Networks (IJCNN 2017) DOI Author Url Publisher Url

Aday Curbelo Montañez C, Fergus P, Hussain A, Al-Jumeily D, Abdulaimma B, Al-askar H. 2016. A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweigh Intelligent Computing Theories and Application: Lecture Notes in Computer Science, 2016 International Conference on Intelligent Computation 9771 :808-819 DOI Author Url Publisher Url Public Url

Curbelo Montañez CA, Fergus P, Hussain A, Al-Jumeily D. Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data 2018 International Conference on Intelligent Computing (ICIC) DOI Author Url Publisher Url Public Url

Curbelo Montañez CA, Fergus P, Hussain A, Al-Jumeily D. Evaluation of Phenotype Classification Methods for Obesity using Direct to Consumer Genetic Data Lecture Notes in Computer Science, 2017 International Conference on Intelligent Computing DOI Author Url Publisher Url Public Url

Conference presentation:

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data, CIBB2018: Computational Intelligence methods for Bioinformatics and Biostatistics, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal., Oral presentation. 2018

Teaching qualification:

Associate Fellow of The Higher Education Academy. 2018

External collaboration:

Newton Research Collaboration Programme - LJMU and Universiti Sains Malaysia (USM), Dr Paul Fergus and Dr Casimiro A. Curbelo Montanez from LJMU - Professor Rosni Abdulah and Dr Nurul Hassain Malim from USM. 2016

Conference organisation:

International Conference on Developments in eSystems Engineering (DeSE), Collaborator - Assistant chair, http://dese.org.uk/wp-content/uploads/Programme_DeSE2016.pdf. 2016

Other Professional Activity:

LivTech Project: Personalised Health Care Monitoring using Smart Meter Energy Readings Collaborator.