Items where Author is "Curbelo Montañez, CA"
Article
Chalmers, C, Fergus, P, Curbelo Montañez, CA, Longmore, SN and Wich, SA (2021) Video Analysis for the Detection of Animals Using Convolutional Neural Networks and Consumer-Grade Drones. Journal of Unmanned Vehicle Systems. ISSN 2291-3467
Curbelo Montañez, CA and Hurst, W (2020) A Machine Learning Approach for Detecting Unemployment using the Smart Metering Infrastructure. IEEE Access, 8. pp. 22525-22536. ISSN 2169-3536
Hurst, W, Curbelo Montañez, CA, Shone, N and Al-Jumeily, D (2020) An Ensemble Detection Model using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities. IEEE Access, 8. pp. 7877-7898. ISSN 2169-3536
Boddy, A, Hurst, W, MacKay, M, El Rhalibi, A, Baker, T and Curbelo Montañez, CA (2019) An Investigation into Healthcare-Data Patterns. Future Internet, 11 (2). ISSN 1999-5903
Conference or Workshop Item
Curbelo Montañez, CA, Fergus, P, Montañez, AC, Hussain, A, Al-Jumeily, D and Chalmers, C (2018) Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. In: 2018 International Joint Conference on Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 8th - 13th July 2018, Rio de Janeiro, Brazil).
Curbelo Montañez, CA, Fergus, P, Hussain, A, Al-Jumeily, D, Tevfik Dorak, M and Abdullah, R (2017) Evaluation of Phenotype Classification Methods for Obesity using Direct to Consumer Genetic Data. In: Lecture Notes in Computer Science . pp. 350-362. (2017 International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK).
Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D (2017) Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Network, 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).
Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. In: 2018 International Conference on Intelligent Computing (ICIC), 15th - 18th August 2018, Wuhan, China.. (Accepted)