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| 1 | Leptomeningeal Metastasis: Challenges in Diagnosis and Treatment显示文摘 | Ticiana Leal Julie E. Chang Minesh Mehta H. Ian Robins | 2011 | Current Cancer Therapy Reviews2011，，4： | 1 |
| 2 | Assessment of uterine involution in bitches using B-mode and Doppler ultrasonography显示文摘 | Claudia da Cunha Barbosa Mírley Barbosa de Souza Luana Azevedo de Freitas Ticiana Franco Pereira da Silva Sheyla Farhayldes Souza Domingues Lúcia Daniel Machado da Silva | 2013 | 2013 (1-4)2013，，1： | 1 |
| 3 | Non-Intrusive Elastic Query Processing in the Cloud显示文摘Cloud computing is a very promising paradigm of service-oriented computing.One major benefit of cloud computing is its elasticity,i.e.,the system’s capacity to provide and remove resources automatically at runtime.For that,it is essential to design and implement an efcient and efective technique that takes full advantage of the system’s potential flexibility.This paper presents a non-intrusive approach that monitors the performance of relational database management systems in a cloud infrastructure,and automatically makes decisions to maximize the efciency of the provider’s environment while still satisfying agreed upon'service level agreements'(SLAs).Our experiments conducted on Amazon’s cloud infrastructure,confirm that our technique is capable of automatically and dynamically adjusting the system’s allocated resources observing the SLA. | Ticiana L. Coelho da Silva Mario A. Nascimento Jose Antonio F. de Macedo Flavio R. C. Sousa Javam C. Machado | 2013 | Journal of Computer Science & Technology2013，28，6： | 0 |
| 4 | A message classifier based on multinomial Naive Bayes for online social contexts显示文摘Children and teenagers today are increasingly connected to the internet.The use by minors of social networks applications,and games that are connected to the internet offer the possibility of communication,can make them exposed to various threats.One of the most troubling threats is sexual abuse.Thus the objective of this project is to create a model for classifying messages,as normal or dangerous,according to the risk they present to the minor.In addition to integrating the developed model with a project that analyzes the behavior of minors in a social network(Facebook),and calculates the risk of the minor be a victim of sexual abuse.Finally,we use the model in the classification of messages obtained from a server of the game Minecraft,quite popular among children. | Thársis Salathiel de Souza Viana Marcos de Oliveira Ticiana Linhares | 2018 | Journal of Management Analytics2018，5，3： | 0 |
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