| Assessing feature selection method performance with class imbalance data S Matharaarachchi, M Domaratzki, S Muthukumarana Machine Learning with Applications 6, 100170, 2021 | 20 | 2021 |
| Discovering long COVID symptom patterns: association rule mining and sentiment analysis in social media tweets S Matharaarachchi, M Domaratzki, A Katz, S Muthukumarana JMIR Formative Research 6 (9), e37984, 2022 | 15 | 2022 |
| Modeling and feature assessment of the sleep quality among chronic kidney disease patients S Matharaarachchi, M Domaratzki, C Marasinghe, S Muthukumarana, ... Sleep Epidemiology 2, 100041, 2022 | 4 | 2022 |
| Minimizing features while maintaining performance in data classification problems S Matharaarachchi, M Domaratzki, S Muthukumarana PeerJ Computer Science 8 (1), e1081, 2022 | 2 | 2022 |
| Enhancing SMOTE for imbalanced data with abnormal minority instances S Matharaarachchi, M Domaratzki, S Muthukumarana Machine Learning with Applications, 100597, 2024 | | 2024 |
| Erratum to “Modeling and Feature Assessment of the Sleep Quality among Chronic Kidney Disease Patients”[Sleep Epidemiology Volume 2, December 2022, 100041] S Matharaarachchi, M Domaratzki, C Marasinghe, S Muthukumarana, ... Sleep Epidemiology, 100072, 2024 | | 2024 |
| A population data-driven approach to identifying ‘Long COVID’cases in support of diagnosis and treatment. J Enns, A Katz, M Yogendran, M Urquia, S Muthukumarana, ... International Journal of Population Data Science 7 (3), 2022 | | 2022 |
Mike DomaratzkiWestern UniversityEmail verificata su uwo.ca