Carson Leung

University of Manitoba

Research Interests

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Articles (25)

Collaborators (6)

Alan Katz

University of Manitoba

Daichi Sone

University College London

UNITED KINGDOM

Aziz Nasridinov

Chungbuk National University

Christopher Henry

Associate Professor

University of Manitoba

Kwan-Hee Yoo

Chungbuk National University

Pingzhao Hu

Associate Professor

Western University

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Carson Leung

Research Interests

Explore related searches

Recent Grants

Articles (25)

Collaborators (6)

Alan Katz

Daichi Sone

Aziz Nasridinov

Christopher Henry

Kwan-Hee Yoo

Pingzhao Hu

Make your next move.

Carson Leung

Research Interests

Explore related searches

Recent Grants

Articles (25)

A Guided Variational Autoencoder for Targeted Molecule Optimization in Drug Discovery

MolGraph-xLSTM as a graph-based dual-level xLSTM framework for enhanced molecular representation and interpretability

Advances of Artificial Intelligence in Neuroimaging

A Big Data Management and Analytics Framework for Supporting Machine Learning, OLAP, and Visualization on Big COVID-19 Data

A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data

Updated Aims and Scope of Analytics

Supervised graph embedding for classification using discriminating frequent patterns

A tree-based framework to mine top-K closed sequential patterns

WaveSeekerNet: accurate prediction of influenza A virus subtypes and host source using attention-based deep learning

iNGNN-DTI: prediction of drug–target interaction with interpretable nested graph neural network and pretrained molecule models

A new tree-based approach to mine sequential patterns

Graph-based substructure pattern mining with edge-weight

Discovering Interesting Patterns from Hypergraphs

Biomedical Informatics: State of the Art, Challenges, and Opportunities

scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data

A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data

Cluster-guided temporal modeling for action recognition

Discovering probabilistically weighted sequential patterns in uncertain databases

UGMINE: utility-based graph mining

Theoretical and practical data science and analytics: challenges and solutions

A scoping review of preprocessing methods for unstructured text data to assess data quality

Big Data Analysis and Visualization: Challenges and Solutions

New approaches for mining regular high utility sequential patterns

New approaches for mining regular high utility sequential patterns

A Deep Learning Based Predictive Model for Healthcare Analytics

Collaborators (6)

Alan Katz

Daichi Sone

Aziz Nasridinov

Christopher Henry

Kwan-Hee Yoo

Pingzhao Hu

Make your next move.