Results for Unsupervised learning

Publications & Outputs

1. Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

   Norman, M., Mason, T., Dickerson, C., Sandler, B., Pollock, K. G., Farooqui, U., Groves, L., Tsang, C., Clifton, D., Bakhai, A. & Hill, N. R., 31/12/2021, In: Informatics in Medicine Unlocked. 25, 10 p., 100688.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Nonparametric multiple change point estimation in highly dependent time series

   Khaleghi, A. & Ryabko, D., 21/03/2016, In: Theoretical Computer Science. 620, p. 119-133 15 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. Event pattern discovery on IDS traces of cloud services

   Huang, S-Y., Huang, Y. & Suri, N., 3/12/2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing. IEEE, p. 25-32 8 p.

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

4. Using unlabeled data in a sparse-coding framework for human activity recognition

   Bhattacharya, S., Nurmi, P., Hammerla, N. & Plötz, T., 12/2014, In: Pervasive and Mobile Computing. 15, p. 242-262 21 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis

   Böhmer, W., Grunewalder, S., Nickisch, H. & Obermayer, K., 10/2012, In: Machine Learning. 89, 1, p. 67-86 20 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. Incidental and online learning of melodic structure

   Rohrmeier, M., Rebuschat, P. & Cross, I., 06/2011, In: Consciousness and Cognition. 20, 2, p. 214-222 9 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review