Factor Screening Using Bayesian Active Learning and Gaussian Process Meta-Modelling

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

2020 / pp. in press / Systems Engineering Test and Evaluation Conference

Bayesian Strategy Selection Identifies Optimal Solutions to Complex Problems Using an Example from GP Prescribing

S. Allender, J. Hayward, S. Gupta, A. Sanigorski, S. Rana, H. Seward, S. Jacobs, S. Venkatesh

2020 / Vol. 3, pp. 1 - 8 / NPJ digital medicine

Bayesian Optimisation in Unknown Bounded Search Domains

J. Berk, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh

2020 / Vol. 195, pp. 105645 / Knowledge-Based Systems

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

J. Berk, S. Gupta, S. Rana, S. Venkatesh

2020 / Proceedings of the 39th International Joint Conference on Artificial Intelligence (IJCAI)

DeepTRIAGE: Interpretable and Individualised Biomarker Scores Using Attention Mechanism for the Classification of Breast Cancer Sub-Types

A. Beykikhoshk, T. P. Quinn, S. C. Lee, T. Tran, S. Venkatesh

2020 / Vol. 13, pp. 1 - 10 / BMC medical genomics

Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow

A. Cummaudo, R. Vasa, S. Barnett, J. Grundy, M. Abdelrazek

2020 / 2020 IEEE/ACM 42nd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Precision Psychiatry with Immunological and Cognitive Biomarkers: A Multi-Domain Prediction for the Diagnosis of Bipolar Disorder or Schizophrenia Using Machine Learning

B. S. Fernandes, C. Karmakar, R. Tamouza, T. Tran, J. Yearwood, N. Hamdani, H. Laouamri, J. Richard, R. Yolken, M. Berk, O.

2020 / Vol. 10, pp. 1 - 13 / Translational psychiatry

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

S. Gupta, S. Rana, S. Venkatesh, O.

2020 / Vol. 34, pp. 2425 - 2432 / Proceedings of the AAAI Conference on Artificial Intelligence

Scalable Backdoor Detection in Neural Networks

H. Harikumar, V. Le, S. Rana, S. Bhattacharya, S. Gupta, S. Venkatesh

2020 / Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Fast Hyperparameter Tuning Using Bayesian Optimization with Directional Derivatives

T. Joy, S. Rana, S. Gupta, S. Venkatesh

2020 / Vol. 205, pp. 106247 / Knowledge-Based Systems

Batch Bayesian Optimization Using Multi-Scale Search

T. Joy, S. Rana, S. Gupta, S. Venkatesh

2020 / Vol. 187, pp. 104818 / Knowledge-Based Systems

Learning to Reason with Relational Video Representation for Question Answering

T. Le, V. Le, S. Venkatesh, T. Tran

2020 / The 2020 International Joint Conference on Neural Networks - in Press Accepted 21 March 2020

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

T. Minh, T. Nguyen, T. Minh, T. Tran

2020 / Proceedings of the NeurIPS Workshop on Machine Learning for Structural Biology

Toward a Generalization Metric for Deep Generative Models

H. Thanh-Tung, T. Tran

2020 / ''I Can't Believe It's Not Better!''NeurIPS 2020 workshop

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. Dam, S. Venkatesh

2020 / NeurIPS 2020 Workshop on Meta-Learning

Object-Centric Relational Reasoning for Video Question Answering

L. Dang, T. Le, V. Le, T. Tran

2020 / pp. XXX / Video Turing Test: Toward Human-Level Video Story Understanding 2020 (ECCV 2020)