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Results for: 2019

Factor Screening High-Dimensional, Stochastic Combat Simulations

D. Nguyen, C. Li, S. Rana, A. Gill, S. Gupta, S. Venkatesh

2019

Examining Conductivity, Current Density, and Sizings Applied to Carbon Fibers during Manufacture and Their Effect on Fiber-to-Matrix Adhesion in Epoxy Polymers

A. Hendlmeier, F. Stojcevski, R. Alexander, S. Gupta, L. C. Henderson

2019 / Vol. 179, pp. 107494 / Composites Part B: Engineering

Lessons Learned from Using a Deep Tree-Based Model for Software Defect Prediction in Practice

H. Dam, T. Pham, S. Ng, T. Tran, J. Grundy, A. Ghose, T. Kim, C. Kim

2019 / pp. 46 - 57 / 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

Understanding the Impact of Emotions on Software: A Case Study in Requirements Gathering and Evaluation

M. Curumsing, N. Fernando, M. Abdelrazek, R. Vasa, K. Mouzakis, J. Grundy

2019 / Vol. 147, pp. 215 - 229 / Journal of systems and software

What Should I Document? A Preliminary Systematic Mapping Study into API Documentation Knowledge

A. Cummaudo, R. Vasa, J. Grundy

2019 / pp. 1 - 6 / 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

Supporting Multi-View Development for Mobile Applications

S. Barnett, I. Avazpour, R. Vasa, J. Grundy

2019 / Vol. 51, pp. 88 - 96 / Journal of Computer Languages

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

S. Barnett, K. Huckvale, H. Christensen, S. Venkatesh, K. Mouzakis, R. Vasa

2019 / Vol. 21, pp. e16399 / Journal of medical Internet research

Multi-Objective Bayesian Optimisation with Preferences over Objectives

M. Abdolshah, A. Shilton, S. Rana, S. Gupta, S. Venkatesh

2019 / pp. 12214 - 12224 / Advances in Neural Information Processing Systems

Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces Using an Amphiphilic Polymer

S. Subianto, C. Li, D. Rubín, S. Rana, S. Gupta, R. He, S. Venkatesh, A. Sutti

2019 / Vol. 4, pp. 15912 - 15922 / ACS omega

Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes

D. Rubín, D. Nguyen, P. Vellanki, C. Li, S. Rana, N. Thompson, S. Gupta, K. Pringle, S. Subianto, S. Venkatesh, O.

2019 / Vol. 4, pp. 20571 - 20578 / ACS omega

Theory and Evaluation Metrics for Learning Disentangled Representations

K. Do, T. Tran

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

D. Gong, L. Liu, V. Le, B. Saha, M. Mansour, S. Venkatesh, D. van

2019 / The IEEE International Conference on Computer Vision (ICCV)

Bayesian Optimization with Unknown Search Space

H. Ha, S. Rana, S. Gupta, T. Nguyen, S. Venkatesh, O.

2019 / pp. 11772 - 11781 / Advances in Neural Information Processing Systems

vUBM: A Variational Universal Background Model for EEG-Based Person Authentication

H. Tran, D. Tran, W. Ma, P. Nguyen

2019 / pp. 478 - 485 / International Conference on Neural Information Processing

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations

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

2019 / pp. 1270 - 1275 / 2019 IEEE International Conference on Data Mining (ICDM)

Bayesian Optimization with Discrete Variables

P. Luong, S. Gupta, D. Nguyen, S. Rana, S. Venkatesh

2019 / pp. 473 - 484 / Australasian Joint Conference on Artificial Intelligence

Neural Stored-Program Memory

H. Le, T. Tran, S. Venkatesh

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Detection of Compromised Models Using Bayesian Optimization

D. Kuttichira, S. Gupta, D. Nguyen, S. Rana, S. Venkatesh

2019 / pp. 485 - 496 / Australasian Joint Conference on Artificial Intelligence