| 2007 |
|---|
| 9 | EE | Gavin C. Cawley,
Gareth J. Janacek,
Nicola L. C. Talbot:
Generalised Kernel Machines.
IJCNN 2007: 1720-1725 |
| 8 | EE | Gavin C. Cawley,
Gareth J. Janacek,
Malcolm R. Haylock,
Stephen R. Dorling:
Predictive uncertainty in environmental modelling.
Neural Networks 20(4): 537-549 (2007) |
| 2006 |
|---|
| 7 | | Anthony J. Bagnall,
Ian Whittley,
Gareth J. Janacek,
Kate Kemsley,
Matthew Studley,
Larry Bull:
A Comparison of DWT/PAA and DFT for Time Series Classification.
DMIN 2006: 403-409 |
| 6 | EE | Anthony J. Bagnall,
Chotirat (Ann) Ratanamahatana,
Eamonn J. Keogh,
Stefano Lonardi,
Gareth J. Janacek:
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity.
Data Min. Knowl. Discov. 13(1): 11-40 (2006) |
| 5 | EE | Gavin C. Cawley,
Nicola L. C. Talbot,
Gareth J. Janacek,
Mike W. Peck:
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens.
IEEE Transactions on Neural Networks 17(2): 471-481 (2006) |
| 2005 |
|---|
| 4 | EE | Gareth J. Janacek,
Anthony J. Bagnall,
M. Powell:
A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series.
PAKDD 2005: 737-743 |
| 3 | EE | Anthony J. Bagnall,
Gareth J. Janacek:
Clustering Time Series with Clipped Data.
Machine Learning 58(2-3): 151-178 (2005) |
| 2004 |
|---|
| 2 | EE | Gavin C. Cawley,
Nicola L. C. Talbot,
Gareth J. Janacek,
Michael Peck:
Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis.
Deterministic and Statistical Methods in Machine Learning 2004: 37-55 |
| 1 | EE | Anthony J. Bagnall,
Gareth J. Janacek:
Clustering time series from ARMA models with clipped data.
KDD 2004: 49-58 |
