Sen Wang at The University of Queensland - Research Interests, Publications & Academic Profile

Sen Wang

University of Queensland

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Research Interests

Computational Neuroscience

Computational Linguistics

Neuroinformatics

Practical Application

Machine Learning In Healthcare

Motor Imagery

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Articles18

Collaborators4

Guido Zuccon

Associate Professor

University of Queensland

Hongxu Chen

University of Sydney

Kaixuan Chen

Assistant Professor

Aalborg University

Ming-Xing Zhang

University of Queensland

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Sen Wang

Senior Lecturer

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Research Interests

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Articles18

Recent applications of machine learning in alloy design: A review

Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction

GSMFlow: generation shifts mitigating flow for generalized zero-shot learning

A multi-level neural network for implicit causality detection in web texts

Predicting the crystal structure and lattice parameters of the perovskite materials via different machine learning models based on basic atom properties

Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm

Information resilience: the nexus of responsible and agile approaches to information use

Uncertainty estimation with neural processes for meta-continual learning

Explaining similarity for SPARQL queries

Deep dynamic imputation of clinical time series for mortality prediction

Efficient search over incomplete knowledge graphs in binarized embedding space

Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation

Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

Editorial for application-driven knowledge acquisition

Collaborators4

Guido Zuccon

Hongxu Chen

Kaixuan Chen

Ming-Xing Zhang

How do Bangladeshi students reach out?