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Results for: 2018

Preliminary Evaluation of a Guided Usability Defect Report Form

N. Yusop, J. Grundy, J. Schneider, R. Vasa

2018 / pp. 81 - 90 / 2018 25th Australasian Software Engineering Conference (ASWEC)

Evaluating an Open Learner Model Visualisation Prototype Tool with User eXperience Metrics

L. Yee, J. Grundy, B. von, A. Cain, R. Vasa

2018 / pp. 51 - 60 / 2018 25th Australasian Software Engineering Conference (ASWEC)

Sparse Approximation for Gaussian Process with Derivative Observations

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2018 / Australasian AI

seeUV: Using Augmented Reality to Create an Engaging Tool for Today’s SunSmart Generation

L. Wakely, H. Walker, F. Escorcia, A. Nicholson, K. Mouzakis, R. Vasa

2018

Data Provenance for Sport

A. J. Simmons, S. Barnett, S. Vajda, R. Vasa

2018 / arXiv preprint arXiv:1812.05804

Informing a BDI Player Model for an Interactive Narrative

J. Rivera-Villicana, F. Zambetta, J. Harland, M. Berry

2018 / pp. 417 - 428 / Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play

BDI Player Modelling for Interactive Narratives

V. Rivera

2018

Vision: Improved Development of Mobile eHealth Applications

J. Grundy, M. Abdelrazek, M. Curumsing

2018 / pp. 219 - 223 / 2018 IEEE/ACM 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft)

Towards the Identification and Visualisation of Causal Events to Support the Analysis of Closed-Loop Combat Simulations

D. Grieger, M. Wong, M. Tamassia, L. Torres, A. Giardina, R. Vasa, K. Mouzakis

2018 / Proceedings of the 2018 ASOR/DORS Conference

MGAN: Training generative adversarial nets with multiple generators

Q. Hoang, T. Nguyen, T. Le, D. Phung

2018 / In International Conference on Learning Representations

Robust Bayesian kernel machine via stein variational gradient descent for big data

K. Nguyen, T. Le, T. Nguyen, D. Phung, G. I. Webb

2018 / pp. 2003 - 2011 / Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Bayesian Multi-Hyperplane Machine for Pattern Recognition

K. Nguyen, T. Le, T. Dinh, D. Phung

2018 / pp. 609 - 614 / 2018 24th International Conference on Pattern Recognition (ICPR)

Clustering Induced Kernel Learning

N. Khanh

2018 / pp. 129 - 144 / Proceedings of The 10th Asian Conference on Machine Learning

Approximation vector machines for large-scale online learning

T. Le, T. Nguyen, V. Nguyen, D. Phung

2018 / Vol. 18, pp. 3962 - 4016 / The Journal of Machine Learning Research

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

2018 / Vol. 57, pp. 413 - 435 / Knowledge and Information Systems

Predicting delivery capability in iterative software development

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

2018 / Vol. 44, pp. 551 - 573 / IEEE Transactions on Software Engineering

A deep learning model for estimating story points

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

2018 / IEEE Transactions on Software Engineering

Dual control memory augmented neural networks for treatment recommendations

H. Le, T. Tran, S. Venkatesh

2018 / pp. 273 - 284 / Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)