Search Results - "Rubio, Yoshio"

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  1. 1

    Multicriteria Evaluation of Deep Neural Networks for Semantic Segmentation of Mammographies by Rubio, Yoshio, Montiel, Oscar

    Published in Axioms (2021)
    “…Breast segmentation plays a vital role in the automatic analysis of mammograms. Accurate segmentation of the breast region increments the probability of a…”
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    Journal Article
  2. 2

    EEG-based motor imagery classification with quantum algorithms by Olvera, Cynthia, Ross, Oscar Montiel, Rubio, Yoshio

    Published in Expert systems with applications (01-08-2024)
    “…Developing efficient algorithms harnessing the power of current quantum processors has sparked the emergence of techniques that combine soft computing with…”
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    Journal Article
  3. 3

    Quantum-inspired evolutionary algorithms on continuous space multiobjective problems by Olvera, Cynthia, Montiel, Oscar, Rubio, Yoshio

    Published in Soft computing (Berlin, Germany) (01-09-2023)
    “…Multiobjective optimization has a wide range of applications in science and engineering. Various multiobjective optimization algorithms work fine for…”
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    Journal Article
  4. 4

    Quantum-Inspired Acromyrmex Evolutionary Algorithm by Montiel, Oscar, Rubio, Yoshio, Olvera, Cynthia, Rivera, Ajelet

    Published in Scientific reports (21-08-2019)
    “…Obtaining efficient optimisation algorithms has become the focus of much research interest since current developing trends in machine learning, traffic…”
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    Journal Article
  5. 5

    Quantum inspired algorithm for microcalcification detection in mammograms by Rubio, Yoshio, Montiel, Oscar, Sepúlveda, Roberto

    Published in Information sciences (01-04-2019)
    “…•Two quantum inspired algorithms for mammogram analysis are proposed.•The methodologies are based on quantum signal processing and cellular automata.•The…”
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    Journal Article
  6. 6

    Wildlife Image Generation from Scene Graphs by Rubio, Yoshio, Contreras-Cruz, Marco A.

    “…Image generation from natural language descriptions is an exciting and challenging task in computer vision and natural language processing. In this work, we…”
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    Conference Proceeding