Recent Submissions

  • Improving data locality of bagging ensembles for data streams through mini-batching 

    Cassales, Guilherme (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 27/08/2021)
    Machine Learning techniques have been employed in virtually all domains in the past few years. In many applications, learning algorithms will have to cope with dynamic environments, under both memory and time constraints, ...
  • Detecção de postagens com informações falsas sobre a pandemia do Covid-19 na rede social Instagram 

    Cabral, Mateus Oliveira (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 05/07/2021)
    This dissertation addresses the detection of false information on Instagram, the social network that has been growing more and more compared to other social media platforms. Because it is a social network with multimedia ...
  • Desenvolvimento de um algoritmo de planejamento de trajetória em ambientes desconhecidos e não estruturados para UAVs 

    Rocha, Lidia Gianne Souza da (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 30/08/2021)
    To make a UAV (Unmanned Aerial Vehicle) autonomous, it must perform actions without human interference in its missions. Regardless of the area of operation, several autonomous UAV missions require path planning, being able ...
  • Architectural redesign and evaluation of an open source MLOps platform: a case study of Apache Marvin-AI 

    Silva, Lucas Cardoso (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 01/07/2021)
    Machine learning is a term linked to data science, a multidisciplinary area that encom- passes knowledge of computer science, mathematics, and domain experience. Given this multidisciplinary nature, a wide variety of ...
  • GSA: operacionalizando a gamificação em atividades do processo de desenvolvimento de software 

    Porto, Daniel de Paula (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 22/04/2021)
    Context: Software development companies are constantly seeking practices that improve the execution of their activities and, consequently, their processes. Several initiatives for using gamification have been observed in ...
  • Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem 

    Silva, Lucas Nildaimon dos Santos (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 25/05/2021)
    AutoML has the goal to find the best Machine Learning (ML) pipeline in a complex and high dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms is time costly, and as ...
  • Data preparation pipeline recommendation via meta-learning 

    Zagatti, Fernando Rezende (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 26/05/2021)
    Data preparation is a essential stage in the machine learning pipeline, aiming to convert noisy and disordered data into refined data compatible with the algorithms. However, data preparation is time-consuming and requires ...
  • Caracterização de um dataset de mobilidade dos ônibus da cidade de São Paulo 

    Ferreira, Carolina Junqueira (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 28/01/2021)
    Simulation is a widely used technique for validation and testing of routing protocols in vehicular networks (VANETs). These simulations are based on mobility models that must follow the real movement patterns of vehicles ...
  • Redução de ruído Poisson com o algoritmo BM3D utilizando distâncias estocásticas 

    Tardivo, Lucas (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 02/06/2021)
    Noise is a problem constantly present in digital images incoming from multiple sources, being important to study noise filters to improve the quality of images. When dealing with radiographic images, Poisson noise is an ...
  • Auditchain: um mecanismo para atestar a integridade de logs baseado na prova de existência em blockchain pública 

    Mendonça, Bruno de Azevedo (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 12/04/2021)
    Digital data are critical to people and companies, acting as a crucial element in the decisionmaking process in different areas. Thus, attesting to data integrity is crucial because forgery can result in significant losses. ...
  • Towards semantic association rules mining from ontology-based semantic trajectories 

    Petri, Antonio Carlos Falcão (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 09/02/2021)
    Different technologies and social-cultural aspects of our lives have allowed the acquisition of people's mobility data. The same applies to other moving objects, such as birds with GPS trackers and hurricanes with real-time ...
  • Conversing learning: applying the wisdom of crowds to assist never ending learning tasks 

    Pedro, Saulo Domingos de Souza (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 21/09/2013)
    In Machine Learning systems we often apply techniques are often applied to learn about real world problems behavior from data. Traditionally, such data comes from instances of datasets (that represents the target problem) ...
  • Conversing learning as a crowd-powered approach to diminish the effects of semantic drift in bootstrap learning algorithms 

    Pedro, Saulo Domingos de Souza (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 21/08/2019)
    Internet and social Web made possible the acquisition of information to feed a growing number of Machine Learning applications and, in addition, brought light to the use of crowdsourcing approaches, commonly applied to ...
  • Detecção de câncer de próstata em imagens de microscopia utilizando grafos de contexto glandular 

    Mendes, Rodrigo de Paula (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 19/04/2021)
    Every year a large part of the male population is affected by Prostate Cancer (PCa), with many cases of deaths occurring especially in men over 40 years old. PCa is a pervasive condition that diffuses and manifests itself ...
  • Committee of NAS-based models 

    Sette, Bruno Silva (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 28/05/2021)
    Network Architecture Search (NAS) has achieved great results and generated models comparable with humans’ classifications. Automating the definition of a neural architecture reduces the need for expert work efforts and ...
  • Aprendizado de subcategorias para Never-ending Language Learning: uma abordagem baseada em perguntas e respostas 

    Souza, Wesley Willy Oliveira de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 08/01/2021)
    In recent years, ontologies have been used in information systems to index large corpora of documents or collections of facts and directly support user interaction with the system through functionalities such as navigation ...
  • ACUX: um guia para escrita de aspectos de UX em Critérios de Aceitação de User Stories 

    Souza, Jonathan Henrique Jeremias (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 27/04/2021)
    In recent years, the use of agile software development practices has expanded. In this same context, the concern with User Experience (UX) factors in the software development process has become evident, which is a differential, ...
  • Enriquecendo a previsão de séries temporais usando informação textual 

    Cruz, Lord Flaubert Steve Ataucuri (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 25/02/2021)
    The ability to extract knowledge and forecast stock trends is crucial to mitigate investors' risks and uncertainties in the market. The stock trend is affected by non-linearity, complexity, noise, and especially the ...
  • Aprendizado de mudança de conceito por floresta de caminhos ótimos 

    Iwashita, Adriana Sayuri (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 17/12/2020)
    Classification algorithms take their decisions according to a learning process on the training set. Therefore, the data to be classified in the test set must have the same distribution as the training set to be correctly ...
  • SAS-DV: Uma arquitetura de predição de riscos de colisão para pessoas com deficiência visual 

    Cordeiro, Natal Henrique (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 10/02/2020)
    The technologies developed so far to help visually impaired people (VIP) navigate meet only some of their everyday needs. This project allows visually impaired people to improve the situation awareness (SAW) by generating ...

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