Results for:

Examining microbe–metabolite correlations by linear methods

T. P. Quinn, I. Erb

2021 / Vol. 18, pp. 37 - 39 / Nature Methods

Dynamic Language Binding in Relational Visual Reasoning

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

2021 / pp. 818 - 824 / IJCAI-PRICAI 2020: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Automated Concern Exploration in Pandemic Situations-COVID-19 as a Use Case

J. Shi, W. Li, Y. Yang, N. Yao, Q. Bai, S. Yongchareon, J. Yu

2021 / pp. 178 - 185 / Lect. Notes Comput. Sci.

Social influence minimization based on context-aware multiple influences diffusion model

W. Li, Q. Bai, L. Liang, Y. Yang, Y. Hu, M. Zhang

2021 / pp. 107233 / Knowledge-Based Systems

Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient

H. Harikumar, T. P. Quinn, S. Rana, S. Gupta, S. Venkatesh

2021 / Vol. 14, pp. 1 - 15 / BioData Mining

Towards the Identification and Visualization 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

2021 / Springer International Publishing

Emotions in Computer Vision Service Q&A

A. Cummaudo, U. M. Graetsch, M. K. Curumsing, R. Vasa, S. Barnett, J. Grundy

2021 / pp. 13 - 18 / 2021 IEEE/ACM Sixth International Workshop on Emotion Awareness in Software Engineering (SEmotion)

LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition

H. Hoang, C. Peng, H. Tran, H. Le, H. H. Nguyen

2021 / pp. 4813 - 4820 / 2020 25th International Conference on Pattern Recognition (ICPR)

pDriver: A novel method for unravelling personalised coding and miRNA cancer drivers.

V. V. H. Pham, L. Liu, C. Bracken, T. Nguyen, G. Goodall, J. Li, T. M. Le

2021 / Bioinformatics

Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)

T. T. Nguyen, P. N. Pathirana, T. Nguyen, Q. V. H. Nguyen, A. Bhatti, D. C. Nguyen, D. T. Nguyen, N. D. Nguyen, D. Creighton, M. Abdelrazek

2021 / Vol. 11, pp. 1 - 16 / Scientific Reports

Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition

D. Nguyen, D. T. Nguyen, R. Zeng, T. T. Nguyen, S. Tran, T. K. Nguyen, S. Sridharan, C. Fookes

2021 / IEEE Transactions on Multimedia

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

A. Tarca, B. A. Pataki, R. Romero, M. Sirota, Y. Guan, R. Kutum, N. Gomez-Lopez, B. Done, G. Bhatti, T. Yu, others

2021 / Vol. 2, pp. 100323 / Cell Reports Medicine

Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts

M. S. Ansari, A. K. Alok, D. Jain, S. Rana, S. Gupta, R. Salwan, S. Venkatesh

2021 / Vol. 18 / Perspectives in Health Information Management

GraphDTA: Predicting drug–target binding affinity with graph neural networks

T. Nguyen, H. Le, T. P. Quinn, T. Nguyen, T. M. Le, S. Venkatesh

2021 / Vol. 37, pp. 1140 - 1147 / Bioinformatics

The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study

B. O’Dea, T. W. Boonstra, M. Larsen, T. Nguyen, S. Venkatesh, H. Christensen

2021 / Vol. 16, pp. e0251787 / PLoS ONE

Infant microbiota in colic: predictive associations with problem crying and subsequent child behavior

A. Loughman, T. P. Quinn, M. L. Nation, A. Reichelt, R. J. Moore, T. T. H. Van, V. Sung, M. L. K. Tang

2021 / Vol. 12, pp. 260 - 270 / Journal of Developmental Origins of Health and Disease