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Results for: 2017

Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring

H. Nguyen, S. J. Maclagan, T. Dinh, T. Nguyen, P. Flemons, K. Andrews, E. G. Ritchie, D. Phung

2017 / Proceedings of the International Conference on Data Science and Advanced Analytics (DSAA)

A framework for mixed-type multioutcome prediction with applications in healthcare

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2017 / Vol. 21, pp. 1182 - 1191 / IEEE journal of biomedical and health informatics

Stable Bayesian Optimization

N. Dai, S. Gupta, S. Rana, S. Venkatesh

2017 / pp. 578 - 591 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

B. Dao, T. Nguyen, S. Venkatesh, D. Phung

2017 / Vol. 4, pp. 209 - 231 / International Journal of Data Science and Analytics

Hierarchical semi-Markov conditional random fields for deep recursive sequential data

T. Tran, D. Phung, H. Bui, S. Venkatesh

2017 / Vol. 246, pp. 53 - 85 / Artificial Intelligence

Column Networks for Collective Classification

T. Pham, T. Tran, D. Phung, S. Venkatesh

2017 / pp. 2485 - 2491 / The AAAI Conference on Artificial Intelligence (AAAI)

Predicting healthcare trajectories from medical records: A deep learning approach

T. Pham, T. Tran, D. Phung, S. Venkatesh

2017 / Vol. 69, pp. 218 - 229 / Journal of Biomedical Informatics

Data mining of intervention for children with autism spectrum disorder

P. Vellanki, T. Duong, D. Phung, S. Venkatesh

2017 / pp. 376 - 383 / eHealth 360°