Camila de Souza
Vice-director of WDSS
Office: WSC 225
Phone: 519-661-2111 x83618
Email: camila.souza@uwo.ca
澳门六合彩开奖预测 Data Science Solutions (WDSS)SS
Graduate Student Supervision
- Ana Carolin Da Cruz (PhD)
- Chengqian Xian (PhD)
- Renan S. Barbosa (MSc, Technological Institute of Aeronautics (ITA), Brazil)
Research interests:
My research program consists of developing new statistical methods to analyze large and complex data structures arising from various areas in the Natural Sciences, Health, and Engineering. I conduct research on techniques involving clustering, hierarchical mixture models, mixed effect models, hidden Markov models, nonparametric regression, semi-parametric models, expectation-maximization (EM) algorithm, and Bayesian variational inference.
Publications:
Preprints
Ana Carolina da Cruz and Camila P. E. de Souza, A Bayesian Approach for Clustering Constant-wise Change-point Data, arXiv preprint,
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias. Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis, arXiv preprint,
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:
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.
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:
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.
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:
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:
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, .
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,
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,
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) . 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,
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,
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
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,
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, .
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),
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) . 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, . 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. . 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) . 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., , Nature Scientific Reports 7(1), 13467. *Authors contributed equally to this work.
de Souza, C. P. E., Heckman, N. E. and Xu, F., (2017) , 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) , Genome biology, 18(1), 140
Lenzi, A., de Souza, C. P. E., Dias, R., Garcia, N. L. and Heckman, N. E. (2017) , 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) , Nature 518, 422–426
De Souza, C. P. E. and Heckman, N. E. (2014) , Journal of Nonparametric Statistics, 26(4), 617-637 (winner of the 2014 Journal of Nonparametric Statistics Best Student Paper Award). R package available.
De Souza, C. P. E. and Dias, R. (2010) (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.
