Matharaarachchi, S., Domaratzki, M. and Muthukumarana, S. (2024). Deep-ExtSMOTE: Integrating Autoencoders for Advanced Mitigation of Class Imbalance in High-Dimensional Data Classification. Under Review.

Taiwo, M., Akcora, C. and Muthukumarana, S. (2024). Assessing the Performance of Machine Learning Classifiers on
Imbalanced Multi-Class Data. Under Review.

Wickramasinghe, A. and Muthukumarana, S. (2024). Enhanced Anomaly Detection through a Bayesian Framework
with a Novel Network Merging Structure Learning Approach. Under Review.

De Silva, H., Malalgoda, N. and Muthukumarana, S. (2024). Bayesian Predictive Models for Identifying Influencing Factors on Public Transit Ridership in the United States. Under Review.

Matharaarachchi, S., Domaratzki, M. and Muthukumarana, S. (2024). Enhancing SMOTE for Imbalanced Data with
Abnormal Minority Instances. Machine Learning with Applications. Accepted.

Afzali, E., Muthukumarana, S. and Wang, L. (2024). Navigating interpretability and alpha control in GF-KCSD testing with measurement error: A Kernel approach. Machine Learning with Applications. 100581.

Morrissette, S., Muthukumarana, S. and Turgeon, M. (2024). Parsimonious Bayesian Model-Based Clustering
with Dissimilarities. Machine Learning with Applications 15, 100528.

Hosseinpour, S., Kinsner, W., Muthukumarana, S. and  Sepehri, N. (2024). Fault Detection in an Electro-Hydrostatic Actuator Using Polyscale Complexity Measures and Bayesian Classification. IEEE Open Journal of Instrumentation & Measurement. Accepted.

Ba, I., Turgeon, M., Veniamin, S., Joel, J., Miller, R.,Graham, M., Bonner, C., Bernstein, C., Arnold, D., Bar-Or, A., Marrie, R.A.,  O'Mahony, J.,  Yeh, E.,  Banwell, B.,  Waubant, E., Knox, N., Van Domselaar, G.,  Mirza, A., Armstrong, H., Muthukumarana, S. and McGregor, K. (2024). A Bayesian factor analysis model for high-dimensional microbiome count data. Under Review.

Wickramasinghe, A., Muthukumarana, S., Schaubroec, M. and Wanasundara, S. (2023). An anomaly detection method for identifying locations with abnormal behavior of temperature in school buildings. Scientific Reports. 13 (1), 22930.

Matharaarachchi, S., Domaratzki, M., Katz, A. and Muthukumarana, S. (2023). Long COVID Prediction in Manitoba Using Clinical Notes Data: A Machine Learning Approach. Under Review.

Jahid, M., Costa, M., Muthukumarana, S., Challenger, W.,  Xu, Y. and Cowen, L. (2023). Sockeye Salmon Stock
Recruitment using Remote Sensing Covariates. Under Review.

Wickramasinghe, A., Muthukumarana, S. and Schaubroec, M. (2023). Hotspot Analysis in
Commercial Buildings using Moran’s I Statistic. Under Review.

Afzali, E. and Muthukumarana, S. (2023). Gradient-Free Kernel Conditional Stein Discrepancy Goodness of Fit
Testing. Machine Learning with Applications. 12, 100463, Online.

Wanasundara, S., Wickramasinghe, A., Schaubroec, M. and Muthukumarana, S. (2023). Detecting Thermal Anomalies in Buildings using Frequency and Temporal Domains Analysis. Journal of Building Engineering. 75, 106923.

Szturm, T., Nariman, S., Lezen, A., Kanitkar, A., Szturm, S., Parmar, S., Eskicioglu, R. and Muthukumarana, S. (2023). A Game-Based Mechatronic Device for Interactive Rehabilitation of Hand Function Post Stroke: Design, Prototyping and Feasibility Study. Under Review.

Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2023). Semi-parametric Bayesian Estimation of Sparse Multinomial Probabilities with an Application to the Modelling of Bowling Performance in T20I Cricket. Annals of Biostatistics and Biometric Applications. Accepted.

Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2023). Bayesian Inference On Sparse Multinomial Data Using Smoothed Dirichlet Distribution With An Application To COVID-19 Data. Model Assisted Statistics and Applications. 18: 207-226.

Turcotte-van de Rydt, C., Muthukumarna, s. and Fraser, K. (2023). Spring departure date, not en route
conditions, drive migration rate and arrival timing in a long-distance migratory songbird. Frontiers in Bird
Science. 2, 1232737.

Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2023). Smoothed Dirichlet Distribution. Journal of Statistical Theory and Applications, 1-25. https://doi.org/10.1007/s44199-023-00062-8.

Bonner, C.,  Baran, A., Fiege, J. and Muthukumarana, S. (2023). Statistical methods to generate artificial slot floor data for the advancement of casino related research. 18th International Conference on Gambling & Risk Taking. 3-3-C.

Ciupeanua, A., Wickramasinghe, A., Muthukumarana, S. and Arino, J. (2023). Investigating Air Travel Network Changes in Canada, USA and Europe During COVID-19 Using Open Source Data. Research Square.

Wickramasinghe, A., Muthukumarana, S., Loewn, D. and Schaubroec, M. (2022). Temperature Clusters in Commercial Buildings Using K-means and Time Series Clustering. Energy Informatics, 5 (1), 1-14.

Wickramasinghe, A. and Muthukumarana, S. (2022). Assessing the Impact of the Density and Sparsity of the Network on Community Detection using a Gaussian Mixture Random Partition Graph Generator. International Journal of Information Technology, 14 (2), 607-618.

Munaweera, I., Harris, L., Moore, J.S., Tallman, R.F., Fisk, A.T., Gillis, D.M. and Muthukumarana, S. (2022). Estimating Survival Probabilities of Cambridge Bay Arctic Char Using Acoustic Telemetry Data and Bayesian Multi-state Capture-recapture Models. Canadian Journal of Fisheries and Aquatic Sciences, https://doi.org/10.1139/cjfas-2021-0262.

Enns, J., Katz, A., Yogendran, M., Urquia, M., Muthukumarana, S., Matharaarachchi, S., Singer, A., Nickel, N., Star, L., Cavett, T., Keynan, Y., Lix, L. and, Sanchez-Ramirez, D. (2022). A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment. International Journal of Population Data Science, 7(3). PMCID: PMC9644890.

Wickramasinghe, A., Muthukumarana, S., Loewn, D., Schaubroec, M. and Wanasundara, S. (2022). Detection of Abnormal Behaviour of Wireless Sensors in School Buildings Using Dynamic Time Warping. Under Review.

Matharaarachchi, S., Domaratzki, M., Marasinghe, C., Muthukumarana, S. and Tennakoon, V. (2022). Modeling and Inference with Feature Importance for Assessing the Quality of Sleep among Chronic Kidney Disease Patients. Journal of Sleep Epidemiology, https://doi.org/10.1016/j.sleepe.2022.100041.

Matharaarachchi, S., Domaratzki, M. and Muthukumarana, S. (2022). Minimizing Features While Maintaining Performance in Data Classification Problems. PeerJ Computer Science, https://doi.org/10.7717/peerj-cs.1081.

Matharaarachchi, S., Domaratzki, M., Katz, A. and Muthukumarana, S. (2022). Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets. Journal of Medical Internet Research - Formative Research. 6(9): e37984.

Munaweera, I., Muthukumarana, S. and Jozani, M. J. (2022). A Generalized Quadratic Garrote Approach Towards Ridge Regression Analysis. Innovations in Multivariate Statistical Modeling, Emerging Topics in Statistics and Biostatistics . Springer, Cham. https://doi.org/10.1007/978-3-031-13971-0_15.

Mehnaz, J., Steeves, H.N., Fisher, J.T., Bonner, S.J., Muthukumarana, S. and Cowen, L.E. (2022). Shooting for Abundance: Comparing Integrated Multi-sampling Models for Camera Trap Data. Environmetrics. https://doi.org/10.1002/env.2761.

Dharmasena, I., Domaratzki, M. and Muthukumarana, S. (2021). Comparison of Resampling Methods on Mobile Apps User Behavior. Internet of Things and Connected Technologies, 253-271.

Cuny, L., Davies, K. and Muthukumarana, S. (2021). Order Restricted Bayesian Inference of the Simple Step-Stress Model Under Type-I Right Censoring With Weibull Distributed Lifetimes. Under Review.

Doshi, A., Johnson, B. and Muthukumarana, S. (2021). Modelling and Visualizations of Community Structures in Networks. Under Review.

Matharaarachchi, S., Domaratzki, M. and Muthukumarana, S. (2021). Assessing Feature Selection Method Performance with Class Imbalance Data. Machine Learning with Applications 6, 100170.

Munaweera, I., Muthukumarana, S., Gillis, D.M., Watkinson, D.A., Charles, C. and Enders, E.C. (2021). Assessing Movement Patterns using Bayesian State-Space Models on Lake Winnipeg Basin Walleye. Canadian Journal of Fisheries and Aquatic Sciences, 78 (10), 1407-1421.

Wickramasinghe, A. and Muthukumarana, S. (2021). Social Network Analysis and Community Detection on Spread of COVID-19. Model Assisted Statistics and Applications. 16 (1), 37-52.

Zhang, W., Wang, X., Muthukumarana, S. and Yang, P. (2021). A Continual Reassessment Method Without Undue Risk of Toxicity. Communications in Statistics - Simulation and Computation. 1-13.

Dharmasena, I., Domaratzki, M. and Muthukumarana, S. (2021). Modeling Mobile Apps User Behavior Using Bayesian Networks. International Journal of Information Technology. https://doi.org/10.1007/s41870-021-00699-7.

Neufeld, L.,  Muthukumarana, S., Fischer, J., Ray, J., Siegrist, J and Fraser, K. (2021). Breeding latitude is associated with the timing of nesting and migration around the annual calendar among Purple Martin (Progne subis) populations. Journal of Ornithology. DOI:10.1007/s10336-021-01894-w.

Doshi, A., Johnson, B. and Muthukumarana, S. (2020). Temporal Preservation of Cliques in Preferential Attachment Models. Under Review.

Anand, M., Rajapakse, A. Muthukumarana, S. and Bagen, B. (2020). Evaluation of a Stochastic Vehicle Travel Pattern Generation Model with Real-World Travel Data. IEEE Electric Power and Energy. Accepted.

Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2020). Model Based Estimation of Baseball Batting Metrics. Journal of Applied Statistics. Accepted.

Muthukumarana, S., Martell, D. and Tiwari, R.C. (2019). Meta Analysis of Binary Data with Excessive Zeros in Two-arm Trials. Journal of Statistical Distributions and Applications 6, 1-17.

Muthukumarana, S., Vincent, K. and Tichon, J. (2019). Bayesian Item Response Analysis of Method-of-Payment Habits in Banking Surveys. Journal of Mathematical Finance 9, 1-10.

Muthukumarana, S. and Khargonkar, N. (2019). Modeling and Simulation of UEFA Champions League. 15th International Conference on Machine Learning and Data Mining, MLDM 2019 Proceedings Volume II, 820 - 834.

Kpekpena, C. and Muthukumarana, S. (2018). Bayesian Equivalence Testing and Meta-Analysis in Two-Arm Trials with Binary Data. Computational and Mathematical Methods in Medicine, 1- 8.

Kuwornu, J.P., Teare, G.F., Quail, J.M., Forget, E., Muthukumarana, S., Wang, X.E., Osman, M. and Lix, L.M. (2017). Comparison of the accuracy of classication models to estimate healthcare use and costs associated with COPD exacerbations in Saskatchewan, Canada: A retrospective cohort study. Canadian Journal of Respiratory Therapy, 53(3), 37-44.

Kroeker, K., Widdifield, J., Muthukumarana, S., Jiang, D. and Lix, L. (2017). Model-based methods for case definitions from administrative health data: application to rheumatoid arthritis. BMJ open 7 (6), e016173.

Kuwornu, J.P., Lix, L.M., Quail, J.M., Forget, E., Muthukumarana, S., Wang, X.E., Osman, M. and Teare, G.F. (2016). Identifying Distinct Healthcare Pathways During Episodes of Chronic Obstructive Pulmonary Disease Exacerbations. Medicine, 95 (9), e2888.

Muthukumarana, S. and Tiwari, R.C. (2016). Meta-Analysis using Dirichlet Process. Statistical Methods in Medical Research 25 (1), 352-365.

Wickramasinghe, L. and Muthukumarana, S. (2016). Assessing Non-Inferiority Hypothesis in Two-Arm Trials with Log-normal Data. SM Journal of Biometrics and Biostatistics 1 (1), 1-11.

Muthukumarana, S. and Evans, M. (2015). Bayesian Inference in Two-arm Trials Using Relative Belief Ratios. Pharmaceutical Statistics 14 (6), 471-478.

Swartz, T.B., Gill, P.S. and Muthukumarana, S. (2015). A Bayesian Approach for the Analysis of Triadic Data in Cognitive Social Structures. Journal of the Royal Statistical Society: Series C 64 (4), 593-610.

Muthukumarana, S. and Swartz, T.B. (2014). Bayesian Analysis of Ordinal Survey Data using the Dirichlet Process to Account for Respondent Personality Traits. Communications in Statistics - Simulation and Computation, 43(1), 82-98.

Koulis, T., Muthukumarana, S. and Briercliffe, C. (2014). A Bayesian Stochastic Model for Batting Performance Evaluation in One-Day Cricket. Journal of Quantitative Analysis in Sports, 10 (1), 1-13.

Gamalo, M.A., Muthukumarana, S., Ghosh, P. and Tiwari, R.C. (2013). A Generalized p-value Approach for Assessing Noninferiority in a Three-Arm Trial. Statistical Methods in Medical Research 22 (3), 261-277.

Muthukumarana, S. and Ghosh, P. (2013). A Semiparametric Bayesian Approach for Mark-Recapture Estimation. Model Assisted Statistics and Applications 8 (1), 29-39.

Appadoo, S., Thavaneswaran, A. and Muthukumarana, S. (2012). Option Pricing Applications of Quadratic Volatility Models. Journal of Mathematical Finance 2 (2), 159-174.

Ghosh, P., Gill, P.S., Muthukumarana, S. and Swartz, T.B. (2010). A Semi-parametric Bayesian Approach to Network Modelling using Dirichlet Process Priors. The Australian and New Zealand Journal of Statistics, 52(3), 289-302.

Swartz, T.B., Gill, P.S. and Muthukumarana, S. (2009). Modelling and Simulation for One-day Cricket. The Canadian Journal of Statistics, 37(2), 143-160.

Muthukumarana, S., Schwarz, C.J. and Swartz, T.B. (2008). Discussion: Towards a Bayesian analysis template? Authors' response. The Canadian Journal of Statistics, 36(1), 24-26.

Muthukumarana, S., Schwarz, C.J. and Swartz, T.B. (2008). Bayesian Analysis of Mark-Recapture Data with Travel Time-dependent Survival Probabilities (with discussion). The Canadian Journal of Statistics, 36(1), 5-21.