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AuthorAlberto, Túlio Casagrande (1)Almeida, João Luís Baptista de (1)Antunes Filho, Amauri (1)... View MoreSubjectMachine learning (6)Aplicativos móveis (5)Aprendizado de máquina (5)... View MoreDate Issued2019 (5)2018 (16)2017 (13)2016 (15)2015 (12)2014 (2)CNPq SubjectsCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO (23)CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO (22)CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO (15)... View MoreGraduate Program
Programa de Pós-graduação em Ciência da Computação (Campus SOROCABA) (63)
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Dissertação (63)

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Startup Kaizen: uma metodologia ágil para desenvolvimento de software em startups 

Leonessa, Nathália Maria Rapuano de Lira Novaes (Universidade Federal de São Carlos, 2016-12-12)
The methodologies currently used by startups for market discovery and software development focus on a more agile and fast development, aiming to obtain learning about the potential market. Often, these methodologies set ...
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Implementação inicial da RFC 6897 

Silva, Alan Castro (Universidade Federal de São Carlos, 2016-12-06)
The Multipath TCP (MPTCP) protocol allows applications to better explore the network resources available to multi-connected devices such as mobile phones or multi-homed systems. Here, some advantages are envisioned: bandwidth ...
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ASAClu: selecionando clusters diversos e relevantes 

Almeida, João Luís Baptista de (Universidade Federal de São Carlos, 2016-12-12)
No clustering algorithm is guaranteed to find actual groups in any dataset. To deal with this problem, many techniques apply various clustering algorithms to a dataset, generating a set of partitions and assessing them to ...
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Aumentando o poder preditivo de classificadores lineares através de particionamento por classe 

Souza, Nahim Alves de (Universidade Federal de São Carlos, 2018-01-25)
This work describes a new classification technique called P2C - Partitioning to Classify. The main goal is to achieve reasonable classification performances using linear prediction methods, even on datasets with non-linear ...
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Avaliação do impacto da seleção de partições base em ensemble multiobjetivo 

Pedote, Gabriel Leonardo (Universidade Federal de São Carlos, 2018-02-23)
Unsupervised data clustering is not a trivial process, as no previous knowledge is available and real data is often complex and multi-faceted. To make matters worse, traditionally, clustering aims to describe the data ...
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Extending User Interface Design Patterns with accessibility recommendations to guide mobile developers 

Casadei, Vitor (Universidade Federal de São Carlos, 2018-03-19)
With the dissemination of mobile devices and the migration of activities that were once executed only on desktop computers to smartphones and tablets, the concerns related to accessibility in this environments have increased. ...
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Recomendações para (re)design da visualização em ferramentas de monitoramento de redes 

Oliveira, Hélio Tibagí de (Universidade Federal de São Carlos, 2018-02-22)
Monitoring tools have evolved over the years to keep support of advances in computer network technology, adapting to new paradigms such as virtualization, software orientation, and more recently a programmable data plan. ...
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Utilização de mecanismos de roteamento para seleção de sistemas de Question Answering 

Tavares, Leandro Luciani (Universidade Federal de São Carlos, 2018-05-30)
The evolution of the interaction between humans and computers has accompanied the technological evolution of computers themselves. This process culminated in the rise of a subfield of computing called Questioning Answering ...
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Recuperação de informação em atas de reunião utilizando segmentação textual e extração de tópicos 

Francisco, Ovídio José (Universidade Federal de São Carlos, 2018-08-07)
In a context where the most informations stored by the organizations is in the text format, the development of computer tools for knowledge discovery aimed to organization and information retrieval is a task that holds ...
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MyBatRecommender: otimização automatizada do consumo de energia em smartphones Android em nível de software 

Cunha, Marcel Popolin de Araújo (Universidade Federal de São Carlos, 2016-02-22)
Nowadays smartphones are composed of a wide range of sensors and resources such as GPS (Global Positioning System), Bluetooth and Internet connection through Wi-Fi, 3G, among others resources. Along with the smartphone’s ...
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