Braga Neto, Ulisses individual record

My research interests focus on statistical signal processing and control, and pattern recognition and machine learning, with applications in bioinformatics, materials informatics, and epidemiological models.

education and training
selected publications
Academic Articles95
  • Ghane, P., Zarnaghinaghsh, N., & Braga-Neto, U (2021). Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. 2021 9th International Winter Conference on Brain-Computer Interface (BCI). 00, 1-6.
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  • Tan, Y., Cator III, D., Ndeffo-Mbah, M., & Braga-Neto, U (2021). A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread. Mathematical Biosciences and Engineering. 18(6), 7685-7710.
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  • Kunselman, C., Attari, V., McClenny, L., Braga-Neto, U., & Arroyave, R (2020). Semi-supervised learning approaches to class assignment in ambiguous microstructures. Acta Materialia. 188, 49-62.
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  • Braga-Neto, U. M., & Dougherty, E. R. (2015). Error Estimation for Pattern Recognition. John Wiley & Sons, Inc..
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  • Braga Neto, U., & Dougherty, E. R. (2005). Classification. Dougherty, E., Shmulevich, I., Chen, J., & Wang, Z. J. (Eds.), Genomic Signal Processing and Statistics. 93-128. Hindawi Publishing Corporation.
Conference Papers44
  • Hajiramezanali, E., Imani, M., Braga-Neto, U., Qian, X., & Dougherty, E. R. (2018). Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. 596-597.
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  • Imani, .., & Braga-Neto, U. (2018). Optimal Control of Gene Regulatory Networks with Unknown Cost Function. 00, 3939-3944.
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  • Imani, M., Ghoreishi, S. F., & Braga-Neto, U. M. (2018). Bayesian control of large MDPs with unknown dynamics in data-poor environments. 2018-December, 8146-8156.
  • Arslan, E., & Braga-Neto, U. M. (2017). Bayesian Top Scoring Pairs for Feature Selection. 2017-October, 387-391.
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Repository Documents / Preprints3
  • Tan, Y., III, D. C., Ndeffo-Mbah, M., & Braga-Neto, U (2021). A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread.
chaired theses and dissertations
First Name
Last Name
Braga Neto
mailing address
Texas A&M University; Electrical Engineering; 3128 TAMU
College Station, TX 77843-3128