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Results for: Truyen Tran

A Generic Neural Architecture for Multiple Inputs and Outputs

T. Pham, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Women in Machine Learning (WiML 2017)

Deep learning to attend to risk in ICU

P. Nguyen, T. Tran, S. Venkatesh

2017 / pp. 25 - 29 / KDH 2017: Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017

Deepr: A Convolutional Net for Medical Records

P. Nguyen, T. Tran, N. Wickramasinghe, S. Venkatesh

2017 / Vol. 21, pp. 22 - 30 / IEEE journal of biomedical and health informatics

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

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

Predicting the delay of issues with due dates in software projects

M. Choetkiertikul, H. Dam, T. Tran, A. Ghose

2017 / Vol. 22, pp. 1223 - 1263 / Empirical Software Engineering

Graph Classification via Deep Learning with Virtual Nodes

T. Pham, T. Tran, H. Dam, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)

Learning Recurrent Matrix Representation

K. Do, T. Tran, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)

Column Networks for Collective Classification

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

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

Preference Relation-based Markov Random Fields for Recommender Systems

S. Liu, G. Li, T. Tran, J. Yuan

2017 / Vol. 246, pp. 523 - 546 / Machine Learning

Finding Algebraic Structure of Care in Time: A Deep Learning Approach

P. Nguyen, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Machine Learning for Health (ML4H)

Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view

W. Luo, D. Phung, T. Tran, S. Gupta, S. Rana, C. Karmakar, A. Shilton, J. Yearwood, N. Dimitrova, T. Ho, O.

2016 / Vol. 18, pp. e323 / Journal of medical Internet research

A deep language model for software code

H. Dam, T. Tran, T. Pham

2016 / pp. 1 - 4 / FSE 2016: Proceedings of the Foundations Software Engineering International Symposium; Workshop on Naturalness of Software (NL+SE)