Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers. - Annette Spooner; Gelareh Mohammadi; Perminder S. Sachdev; Henry Brodaty; Arcot Sowmya (CoRR, 2022)

Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease. - Annette Spooner; Gelareh Mohammadi; Perminder S. Sachdev; Henry Brodaty; Arcot Sowmya (CoRR, 2022)

Stable and Interpretable Machine Learning Models for the Prediction of Alzheimer's Disease from Clinical Data. - Annette Spooner (2022)

Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery. - Annette Spooner; Gelareh Mohammadi; Perminder S. Sachdev; Henry Brodaty; Arcot Sowmya (BMC Bioinform., 2023)

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning. - Annette Spooner; Mohammad Karimi Moridani; Azadeh Safarchi; Salim Maher; Fatemeh Vafaee; Amany Zekry; Arcot Sowmya (CoRR, 2024)

Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction. - Annette Spooner; Mohammad Karimi Moridani; Barbra Toplis; Jason Behary; Azadeh Safarchi; Salim Maher; Fatemeh Vafaee; Amany Zekry; Arcot Sowmya (Briefings Bioinform., 2025)

Identifying risk factors for Alzheimer's disease from multivariate longitudinal clinical data using temporal pattern mining. - Annette Spooner; Gelareh Mohammadi; Perminder S. Sachdev; Henry Brodaty; Arcot Sowmya (BMC Bioinform., 2025)