Items where Author is "Curbelo Montañez, CA"
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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)