Carson Leung

University of Manitoba

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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

Carson Leung

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (25)

Collaborators (6)

Alan Katz

Daichi Sone

Aziz Nasridinov

Christopher Henry

Kwan-Hee Yoo

Pingzhao Hu

How do I reach out?

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Carson Leung

Research Interests

Explore related searches

Contact this professor

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

How do I reach out?

Meet Kite AI