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Como a Inteligência Artificial está mudando a publicidade online
Published:
Eu escrevi um blog post para a WorldSense falando um pouco de como a inteligência artificial está mudando como a publicidade é feita, assim como ela é importante para o trabalho que nós estamos fazendo. Vai lá dar uma conferida!
Finalmente uma Aplicação Realmente Útil de Deep Learning!
Published:
O tal do Deep Learning tem vivido um hype muito grande recentemente e ele realmente tem algumas aplicações incríveis. Mas chegou a hora de usarmos deep learning para resolver problemas reais de pessoas reais!
7 Fatos Aleatórios Surpreendentes!
Published:
Vamos começar com uma brincadeira rápida. Escolha uma das cores abaixo:
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publications
A Batch-Incremental Process Fault Detection and Diagnosis Using Mixtures of Probabilistic PCA
Published in Evolving and Adaptive Intelligent Systems, 2014
This paper proposes a batch-incremental method using mixtures of probabilistic principal components analysis (PCA) for process fault detection and diagnosis.
Recommended citation: T. A. Nakamura, A. P. Lemos. "A batch-incremental process fault detection and diagnosis using mixtures of probabilistic PCA", EEE Conference on Evolving and Adaptive Intelligent Systems (2014), 1–8. http://akionakamura.github.io/files/2014-06-02-paper-batch-incremental-process.pdf
Adaptive Fault Detection and Diagnosis Using Parsimonious Gaussian Mixture Models Trained with Distributed Computing Techniques
Published in Journal of the Franklin Institute, 2017
This paper proposes an adaptive fault detection and diagnosis methodology using parsimonious faussian mixture models (PGMM) trained with distributed computing techniques.
Recommended citation: T. A. Nakamura, R. M. Palhares, W. M. Caminhas, B. R. Menezes, M. C. M. M. de Campos, U. Fumega C. H. de M. Bomfim, A. P.Lemos. "Adaptive Fault Detection and Diagnosis Using Parsimonious Gaussian Mixture Models Trained with Distributed Computing Techniques", Journal of the Franklin Institute (2017), Volume 354, Issue 6, 2543-2572. http://akionakamura.github.io/files/2017-04-01-paper-parsimonious-gaussian-mixture-fdd.pdf
An anatomy for neural search engines
Published in Information Sciences, 2017
This paper proposes and analysis a fully neural search engine architecture.
Recommended citation: T. A. Nakamura, P. H. Calais, D. C. Reis, A. P.Lemos. "An anatomy for neural search engines", Information Sciences (2019), Volume 480, 339-353. https://www.sciencedirect.com/science/article/pii/S0020025518309952
talks
teaching
Teaching experience 1
Published in University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Published in University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.