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

Column Networks for Collective Classification

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

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

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

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

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

2017 / Vol. 51, pp. 127 - 157 / Knowledge and Information Systems

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

Stable Bayesian Optimization

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

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

Data mining of intervention for children with autism spectrum disorder

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

2017 / pp. 376 - 383 / eHealth 360°

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

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)

Bayesian Optimization of Superalloy Designs

J. Licavoli, P. Sanders, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

2017 / 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

Bayesian Optimization with Monotonicity Information

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

2017 / Workshop on Bayesian optimization at neural information processing systems (NIPSW).

Distance Exploration for Scalable Batch Bayesian Optimization

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2017 / 31st Conference on Neural Information Processing Systems