Assistant Professor
Department of Statistical and Actuarial Sciences
The University of Western Ontario
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Preprints
Ana Carolina da Cruz and Camila P. E. de Souza, A Bayesian Approach for Clustering Constant-wise Change-point Data, arXiv preprint, https://arxiv.org/abs/2305.17631
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias. Bayesian Adaptive Selection of Variables for Function-on-Scalar Regression Models. arXiv preprint arXiv:2303.03521, https://arxiv.org/pdf/2303.03521.pdf
Safinianaini, N., de Souza, C. P. E., Roth, A., Lagergren, J., CopyMix: Mixture Model Based Single-Cell Clustering and Copy-Number Calling using Variational Inference. Preprint available at BioRxiv: https://doi.org/10.1101/2020.01.29.926022
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Published (and accepted) manuscripts
Xian, Chengqian, John Jewell, Camila de Souza, Ronaldo Dias. Clustering Functional Data via Variational Inference. Accepted and to appear at Advances in Data Analysis and Classification. arXiv preprint: https://arxiv.org/pdf/2205.13716.pdf
Rita de Cássia A. Vieira, Gabriela L. de Barros, Wellingson S. Paiva, Daniel V. de Oliveira, Camila P. E. de Souza, Eduesley Santana-Santos & Regina M. C. de Sousa (2024) Severe traumatic brain injury and acute kidney injury patients: factors associated with in-hospital mortality and unfavorable outcomes, Brain Injury, DOI: 10.1080/02699052.2024.2304885
Xian, Chengqian, de Souza, C. P. E., He, W., Rodrigues, F. F., Rian, R., (2024) Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model. Statistics and Computing, Volume 34, 67. https://doi.org/10.1007/s11222-023-10365-6
Yawo M. Kobara, Megan Wismer, Felipe F. Rodrigues & Camila P. E. de Souza (2023) Invasive mechanical ventilation duration prediction using survival analysis, International Journal of Healthcare Management, DOI: 10.1080/20479700.2023.2295111
Yawo M. Kobara, Felipe F. Rodrigues, Camila P. E. de Souza & David Stanford (2023) ICU patient flow: To premature step-down or not? A simulation analysis, International Journal of Healthcare Management, DOI: 10.1080/20479700.2023.2266637
Chengqian Xian, Camila P.E. de Souza, Felipe F. Rodrigues (2023), Health outcome predictive modelling in intensive care units, Operations Research for Health Care, Volume 39,100409, https://doi.org/10.1016/j.orhc.2023.100409.
Ngui, Y. D., Najafi, M. R., de Souza, Camila, Sills, D. (2023), Probabilistic Assessment of Concurrent Tornado and Storm-Related Flash Flood (TORFF) Events. Accepted and to appear at the International Journal of Climatology.
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias (2023) Bayesian adaptive selection of basis functions for functional data representation, Journal of Applied Statistics, https://doi.org/10.1080/02664763.2023.2172143
Gabriel Franco, Camila P. E. de Souza, Nancy L Garcia, (2023) Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles, Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 72, Issue 1, Pages 48–75, https://doi.org/10.1093/jrsssc/qlac006
Chies-Santos, A. L., de Souza, R. S., Caso, J. P., Ennis, A. I., de Souza, C. P. E., Barbosa, R. S., et al., (2022) J-PLUS: A catalogue of globular cluster candidates around the M81/M82/NGC3077 triplet of galaxies. Monthly Notices of the Royal Astronomical Society (MNRAS), 516, 1320–1338.
Moazamigoodarzi, S., Na, W., Najafi, M. R., de Souza, C., (2022) Spatiotemporal bias adjustment of IMERG satellite precipitation data across Canada, Advances in Water Resources, Volume 168, 104300, https://doi.org/10.1016/j.advwatres.2022.104300
Kobara, Y. M., Rodrigues, F. F., de Souza, C. P.E., Stanford, D. A. (2022). Intensive care unit/step-down unit queuing game with length of stay decisions. Operations Research for Health Care, 100349, https://doi.org/10.1016/j.orhc.2022.100349
Aghahosseinalishirazi, Z., da Silva, J. P., de Souza, C. P. E., (2022) Parameter estimation for grouped data using EM and MCEM algorithms, Communications in Statistics – Simulation and Computation. Published online at https://doi.org/10.1080/03610918.2022.2108843
de Cássia Almeida Vieira, R., Silveira, J. C. P., Paiva, W. S., de Oliveira, D. V., de Souza, C. P. E., Santana-Santos, E., de Sousa, R. M. C. (2022). Prognostic Models in Severe Traumatic Brain Injury: A Systematic Review and Meta-analysis. Neurocritical Care, 1-16, https://doi.org/10.1007/s12028-022-01547-7
Sills, D. M. L., Durfy, C. S., de Souza, C. P. E. (2022). Are significant tornadoes occurring later in the year in southern Ontario? Geophysical Research Letters, 49, https://doi.org/10.1029/2021GL096483.
Chen, D., Randhawa, G.S., Soltysiak, M.P.M., de Souza, C.P.E., Kari, L., Singh, S.M., Hill, K.A. (2022), SomaticSimu: A mutational signature simulator. Bioinformatics, 38 (9), https://doi.org/10.1093/bioinformatics/btac128
Evelyn Vingilis, Jane S. Seeley, Patricia Di Ciano, Christine Wickens, Robert E. Mann, Gina Stoduto, Tara Elton-Marshall, Branka Agic, Camila de Souza, André McDonald, Jason Gilliland, Tanya Charyk Stewart, (2021) Systematic Review of the Effects of Cannabis Retail Outlets on Traffic Collisions, Fatalities and other Traffic-related Outcomes. Journal of Transport & Health, Vol. 22.
Adjei, P., Sethi, N. S., de Souza, C.P.E. and Capretz, M.A.M., (2020) Energy Disaggregation using Multilabel Binarization and Gaussian Naive Bayes Classifier. Proceeding of the 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Safinianaini, N., de Souza, C. P. E., Bostrom, H., and Lagergren, J., (2020) Orthogonal Mixture of Hidden Markov Models. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2020. Lecture Notes in Computer Science, vol 12457. Springer, Cham.
P. E. de Souza C*, Andronescu M*, Masud T, Kabeer F, Biele J, et al. (2020) Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data. PLOS Computational Biology 16(9): e1008270. *Authors contributed equally to this work.
Randhawa, Gurjit S., Maximillian P.M. Soltysiak, Hadi El Roz, Camila P. E. de Souza, Kathleen A. Hill, and Lila Kari, Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study. PLOS ONE.
Shirazi, R., de Souza, C. P. E., Kashef, R. and Rodrigues, F. F., (2020) Deep Learning in the Healthcare Industry: Theory and Applications, Book Chapter. In Computational Intelligence and Soft Computing Applications in Healthcare Management Science (pp. 220-245). IGI Global.
Santos, E.S., de Morais Oliveira, C.D., Menezes, I.R.A., do Nascimento, E.P., Correia, D.B., de Alencar, C.D.C., de Fátima Sousa, M., Lima, C.N.F., Monteiro, Á.B., de Souza, C.P.E. and de Araújo Delmondes, G., 2019. Anti-Inflammatory Activity of herb products from Licania rigida Benth. Complementary Therapies in Medicine.
Zhang, A. W., McPherson A., Milne, K., Kroeger, D. R., Hamilton, P. T., Miranda, A., Funnell, T., Little, N., de Souza C. P. E., Laan, S., LeDoux, S., Cochrane, D. R., Lim, J. L. P., Yang, W., Roth, A., et al., (2018) Interfaces of malignant and immunologic clonal dynamics in ovarian cancer. Cell.
Farahani, H.*, de Souza, C. P. E.*, Billings, R.*, Yap, D., Shumansky, K., Wan, A., Lai, D., Mes-Masson, A-M., Aparicio, S., Shah, S. P., Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer, Nature Scientific Reports 7(1), 13467. *Authors contributed equally to this work.
de Souza, C. P. E., Heckman, N. E. and Xu, F., (2017) Switching nonparametric regression models for multi-curve data, The Canadian Journal of Statistics, 45, 442-460.
McPherson, A., Roth, A., Ha, G., Chauve, C., Steif, A., de Souza, C. P. E., Eirew, P., Bouchard-Côté, A., Aparicio, S., Sahinalp, S., and Shah, S., (2017) ReMixT: Clone Specific Genomic Structure Estimation in Cancer, Genome biology, 18(1), 140
Lenzi, A., de Souza, C. P. E., Dias, R., Garcia, N. L. and Heckman, N. E. (2017) Analysis of aggregated functional data from mixed populations with application to energy consumption, Environmetrics, 28(2)
Eirew, P., Steif, A., Jaswinder, K., Ha, G., Yap, D., Farahani, H., Gelmon, K., Chia, S., Mar, C., Wan, A., Laks, E., Biele, J., Shumansky, K., Rosner, J., McPherson, A., Nielsen, C., Roth, A., Lefebvre C., Bashashati, A., de Souza, C., Siu, C., Aniba, R., Brimhall, J., Oloumi, A., Osako, T., Bruna, A., Sandoval, J., Algara, T., Greenwood, W., Leung, K., Cheng, H., Xue, H., Wang, Y., Lin, D., Mungall, A., Moore, R., Zhao, Y., Lorette, J., Nguyen, L., Huntsman, D., Eaves, C. J., Hansen, C., Marra, M. A., Caldas, C., Shah, S. P., Aparicio, S. (2015) Dynamics of genomic clones in breast cancer patient xenografts at single cell resolution, Nature 518, 422–426
De Souza, C. P. E. and Heckman, N. E. (2014) Switching nonparametric regression models, Journal of Nonparametric Statistics, 26(4), 617-637 (winner of the 2014 Journal of Nonparametric Statistics Best Student Paper Award). R package switchnpreg available.
De Souza, C. P. E. and Dias, R. (2010) Introdução à Análise de Dados Funcionais (Introduction to Functional Data Analysis). Monograph from the 19th National Symposium of Probability and Statistics (135 pages). Published by Associação Brasileira de Estatística (Brazilian Association of Statistics), São Paulo, Brazil.