ZANINI, C, T, P; Migon, H., S. ; DIAS, R. (2024). Variational Inference for Bayesian Bridge Regression. STATISTICS AND COMPUTING, 2024.
DOI: 10.1007/s11222-023-10317-0 [paper] [github]
Ryu, Seung W. ; Stewart, Rose; Pectol, D. Chase ; Ender, Nicolette A. ; Wimalarathne, Oshadi ; Lee, Ji-Hoon ; ZANINI, CARLOS P. ; Harvey, Antony ; Huibregtse, Jon M. ; Mueller, Peter ; Paull, Tanya T. (2020) Proteome-wide identification of HSP70/HSC70 chaperone clients in human cells. PLOS BIOLOGY, v. 18, p. e3000606, 2020.
DOI:10.1371/journal.pbio.3000606 [paper]
ZANINI, C. T. P., Müller, P., Ji, Y. and Quintana, F. A. (2019). A Bayesian random partition model for sequential refinement and coagulation. Biometrics. Vol 75-3. Pages: 988-999 DOI:10.1111/biom.13047 [paper] [github]
FERNANDEZ, R. C. ; ZANINI, C. T. P. ; SCHMIDT, A. M. ; Migon, H., S. ; Silva Neto, A .(2025) A Bayesian Physics-Informed Approach to Inverse Problems in Heat Transfer and Fluid Mechanics. Applied Mathematical Modelling.
TEIXEIRA, J. S. ; FERNANDEZ, R. C. ; ZANINI, CARLOS TADEU PAGANI ; Silva Neto, A ; Migon, H., S. . Estimativa de Propriedades Térmicas Empregando o Método de Monte Carlo Hamiltoniano via STAN. In: XLIV CNMAC - Congresso Nacional de Matemática Aplicada e Computacional, 2025, Rio de Janeiro. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 2025.
ZANINI, C. T. P.; Mamud, R ; Migon, H., S. ; Silva Neto, A . Estimation of Pollution Sources with Surrogate Models. In: ICIPE - International Conference on Inverse Problems in Engineering: Theory and Practice, 2024, Búzios. ICIPE, 2024.
CORREA, D. ; TEIXEIRA, J. S. ; ZANINI, C. T. P. ; Migon, H., S. ; PELTA, D. ; TOLEDO, C. ; Silva Neto, A . Bayesian Variational Inference in the Inverse Biflux Anomalous Diffusion Problem. In: ICIPE - International Conference on Inverse Problems in Engineering: Theory and Practice, 2024, Búzios. ICIPE - International Conference on Inverse Problems in Engineering: Theory and Practice, 2024.
MATOS, N. L. ; Carvalho, H T ; ZANINI, C. T. P. . 'Shallow' Neural Network Architectures for Musical Genre Classification. In: Latin American Music Information Retrieval Workshop (LAMIR), 2024, Rio de Janeiro. Proceedings of the 1st Latin American Music Information Retrieval Workshop (LAMIR), 2024. v. 1. p. 68-73.
Mamud, R ; ZANINI, C. T. P. ; Migon, H., S. ; Silva Neto, A . Solution of advection-diffusion-reaction inverse problems with Physics-Informed Neural Networks. In: v. 10 n. 1 (2023): CNMAC 2023, 2023, Bonito, 2023. v. 10.
ZANINI, C. T. P. and Mueller, P. (2019). Dependent Mixtures and Random Partitions.
ZANINI, C. T. P., Migon, H. S. and Alves, M. B. (2015). Inferência Sequencial em Modelos Dinâmicos Generalizados.