Machine Learning

Our extensive experience of machine learning algorithms means that we can use data to build models which can be used for pattern discovery, classification and forecasting. Using a range of supervised and unsupervised techniques, we can help unlock the potential for you to gain insight from your data.

Data Analytics

Data is a valuable business resource. Our experience in integrating and processing data from internal and publicly-available sources, and using it to build models and predictions, will help you unlock its value.

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  1. Arscott, D., Venturini, B., Cheong Took, C., Templeton, M., Babatunde, A. and Casey, M.C. (2016). Delivering Water Security for All During Shale Gas Production. A report co-funded by Innovate UK, DECC and NERC and undertaken by the PyTerra Research Consortium.
  2. Casey, M.C. and Treharne, H.E. (2015). Let's Explore Research+. Nesta, 13/02/2015.
  3. Casey, M.C., Pavlou, A. and Timotheou, A. (2012). Audio-Visual Localization with Hierarchical Topographic Maps: Modeling the Superior Colliculus. Neurocomputing, vol. 97, pp. 344-356, doi: 10.1016/j.neucom.2012.05.015.
  4. Barfoot, K.M., Casey, M.C. and Callaway, A.J. (2012). Combined EEG and Eye-tracking in Sports Skills Training and Performance Analysis. World Congress of Performance Analysis of Sport IX. Worcester, 25-28 July 2012.
  5. Casey, M.C., Yau, C.Y., Barfoot, K.M. and Callaway, A.J. (2012). Data Mining of Portable EEG Brain Wave Signals for Sports Performance Analysis: An Archery Case Study. International Convention on Science, Education and Medicine in Sport (ICSEMIS 2012). Glasgow, 19-24 July 2012.
  6. Casey, M.C., Hickman, D.L., Pavlou, A. and Sadler, J.R.E. (2011). Small-scale Anomaly Detection in Panoramic Imaging using Neural Models of Low-level Vision. Proceedings of SPIE Defense, Security, and Sensing Conference 2011 on Enhanced and Synthetic Vision, volume 8042B. SPIE, Florida, 25-29 April 2011.
  7. Casey, M.C., Pavlou, A. and Timotheou, A. (2010). Mind the (Computational) Gap. Proceedings of the UK Workshop on Computational Intelligence (UKCI 2010), Essex, 8-10 September.
  8. Pavlou, A. and Casey, M.C. (2009). A Computational Platform for Visual Fear Conditioning. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2009. Atlanta, Georgia: IEEE.
  9. Casey, M.C. (2007). Sensible Machines. Financial Sector Technology, vol. 13(3), pp. 25.
  10. Taskaya-Temizel, T. and Casey, M.C. (2005). A Comparative Study of Autoregressive Neural Network Hybrids. Neural Networks, vol. 18(5-6), pp. 781-789, doi: 10.1016/j.neunet.2005.06.003.