• A new fast training algorithm for autoencoder neural networks based on extreme learning machine 

    Vásquez-Coronel, José A; Mora, Marco ORCID; Vilches-Ponce, Karina; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barria-Valdevenito, Pedro (2022)
    Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...

  • Fast tuning of extreme learning machine neural networks based with simple optimization algorithms 

    Tobar Valenzuela, Luis; Mora, Marco ORCID; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barría-Valdebenito, Pedro (2022)
    Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...

  • Using heaps on GPU 

    Barrientos, Ricardo ORCID; Silva Pavez, Fabián; Hernández-García, Ruber; Mora, Marco ORCID (2022)
    Nowadays, searching algorithms are a key component in modern computer science applications. However, traditional approaches of exact search techniques are practicallyan unfeasible solution with the rise of data in ...