Publicaties

• 2023

  Continual prune-and-select

  Class-incremental learning with specialized subnetworks
  Aleksandr Dekhovich / David M.J. Tax / Marel H.F. Sluiter / Miguel A. Bessa

• 2022

  Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena

  Bernardo P. Ferreira / F. M. Andrade Pires / M. A. Bessa

• 2022

  Generation of design allowables on the open hole tensile strength of composite laminates using sensitivity analysis and uncertainty quantification framework

  Aravind Sasikumar / Joan Ninyerola / Ivan Ruiz / M.A. Bessa / Albert Turon Travesa

• 2022

  Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy

  A. Chandrashekar / P. Belardinelli / M.A. Bessa / U. Staufer / F. Alijani

• 2021

  A methodology to generate design allowables of composite laminates using machine learning

  C. Furtado / R. P. Tavares / L.P. Gomes Pereira / M. Salgado / F. Otero / G. Catalanotti / A. Arteiro / M. A. Bessa / P. P. Camanho

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