Publications


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On catastrophic forgetting and mode collapse in Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2020 / IJCNN

Theory and evaluation metrics for learning disentangled representations

K. Do, T. Tran

2020 / ICLR

Neural Stored-program Memory

H. Le, T. Tran, S. Venkatesh

2020 / ICLR

Learning distance-dependent motif interactions: an interpretable CNN model of genomic events

T. P. Quinn, D. Nguyen, P. Nguyen, S. Gupta, S. Venkatesh

2020 / bioRxiv

Multiclass Anomaly Detector: the {CS++} Support Vector Machine

A. Shilton, S. Rajasegarar, M. Palaniswami

2020 / Vol. 21, pp. 1 - 39 / Journal of Machine Learning Research

Computational methods for predicting Autism Spectrum Disorder from gene expression data

J. Zhang, T. Nguyen, B. Truong, L. Liu, J. Li, T. D. Le

2020 / Proceedings of the 16th International Conference on Advanced Data Mining and Applications (ADMA)

A Graph-based Approach for Population Health Analysis Using Geo-Tagged Tweets

H. Nguyen, T. Nguyen, D. Nguyen

2020 / Multimedia tools and applications

Succinct contrast sets via false positive controlling with an application in clinical process redesign

D. Nguyen, W. Luo, B. Vo, W. Pedrycz

2020 / Vol. 161, pp. 113670 / Expert Systems with Applications

Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions

T. Nguyen, S. Gupta, J. Raman, R. Bellomo, S. Venkatesh

2020 / Vol. 22 / Critical Care and Resuscitation

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

The winning methods for predicting cellular position in the DREAM single cell transcriptomics challenge

V. Pham, X. Li, B. Truong, T. Nguyen, L. Liu, J. Li, T. Le

2020 / Briefings in Bioinformatics

Mr{PC}: Causal structure learning in distributed systems

T. Nguyen, D. Thanh, T. Duy, S. Venkatesh

2020 / Proceedings of the 27th International Conference on Neural Information Processing (ICONIP)