 | 2011 |
| 9 |  | Ronan LeBras,
Theodoros Damoulas,
John M. Gregoire,
Ashish Sabharwal,
Carla P. Gomes,
R. Bruce van Dover:
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling.
CP 2011: 508-522 |
| 2010 |
| 8 |  | Theodoros Damoulas,
Samuel Henry,
Andrew Farnsworth,
Michael Lanzone,
Carla Gomes:
Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel.
ICMLA 2010: 424-429 |
| 7 |  | Ioannis Psorakis,
Theodoros Damoulas,
Mark A. Girolami:
Multiclass relevance vector machines: sparsity and accuracy.
IEEE Transactions on Neural Networks 21(10): 1588-1598 (2010) |
| 2009 |
| 6 |  | Yiming Ying,
Colin Campbell,
Theodoros Damoulas,
Mark A. Girolami:
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.
PRIB 2009: 427-438 |
| 5 |  | Theodoros Damoulas,
Mark A. Girolami:
Combining feature spaces for classification.
Pattern Recognition 42(11): 2671-2683 (2009) |
| 4 |  | Theodoros Damoulas,
Mark A. Girolami:
Pattern recognition with a Bayesian kernel combination machine.
Pattern Recognition Letters 30(1): 46-54 (2009) |
| 2008 |
| 3 |  | Theodoros Damoulas,
Yiming Ying,
Mark A. Girolami,
Colin Campbell:
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.
ICMLA 2008: 577-582 |
| 2 |  | Theodoros Damoulas,
Mark A. Girolami:
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.
Bioinformatics 24(10): 1264-1270 (2008) |
| 2005 |
| 1 |  | Theodoros Damoulas,
Ignasi Cos-Aguilera,
Gillian M. Hayes,
Tim Taylor:
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning.
ECAL 2005: 936-945 |