AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (ACML, 2012)

Detection of Deception in the Mafia Party Game. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (ICMI, 2015)

Invariant backpropagation: how to train a transformation-invariant neural network. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (CoRR, 2015)

Regularization methods for neural networks and related models. - Sergey Demyanov (2015)

Classification of dermoscopy patterns using deep convolutional neural networks. - Sergey Demyanov; Rajib Chakravorty; Mani Abedini; Alan Halpern; Rahil Garnavi (ISBI, 2016)

Generative OpenMax for Multi-Class Open Set Classification. - Zongyuan Ge; Sergey Demyanov; Rahil Garnavi (BMVC, 2017)

Investigating deep side layers for skin lesion segmentation. - Behzad Bozorgtabar; Zongyuan Ge; Rajib Chakravorty; Mani Abedini; Sergey Demyanov; Rahil Garnavi (ISBI, 2017)

Tree-loss function for training neural networks on weakly-labelled datasets. - Sergey Demyanov; Rajib Chakravorty; Zongyuan Ge; SeyedBehzad Bozorgtabar; Michelle Pablo; Adrian Bowling; Rahil Garnavi (ISBI, 2017)

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. - Zongyuan Ge; Sergey Demyanov; Behzad Bozorgtabar; Mani Abedini; Rajib Chakravorty; Adrian Bowling; Rahil Garnavi (ISBI, 2017)

Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. - Zongyuan Ge; Sergey Demyanov; Rajib Chakravorty; Adrian Bowling; Rahil Garnavi (MICCAI (3), 2017)

Generative OpenMax for Multi-Class Open Set Classification. - ZongYuan Ge; Sergey Demyanov; Zetao Chen; Rahil Garnavi (CoRR, 2017)