Browsing Teses e dissertações by Advisor "9185a24d-3ee1-48a1-82f2-dad58a6b653e"

Now showing items 1-6 of 6

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Partial automation of the seismic to well tie with the matching region estimation and segmented global optimization 

      Silva, Rafael da Costa (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 13/07/2023)
      Geophysical interpretation plays a fundamental role in the oil and gas exploration domain. Various geophysical methods can be employed to extract information about the geological configuration of rocks. The well-to-seismic ...