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Miguel A. Bessa

Orcid: 0000-0002-6216-0355

Affiliations:
  • Brown University, Providence, RI, USA
  • Delft University of Technology, The Netherlands (former)


According to our database1, Miguel A. Bessa authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Gradient-free neural topology optimization.
[BibTeX]
[DOI]
Gawel I. Kus
,
Miguel A. Bessa
CoRR, 2024

2023
Continual prune-and-select: class-incremental learning with specialized subnetworks.
[BibTeX]
[DOI]
Aleksandr Dekhovich
,
David M. J. Tax
,
Marcel H. F. Sluiter
,
Miguel A. Bessa
Appl. Intell., July, 2023

CRATE: A Python package to perform fast material simulations.
[BibTeX]
[DOI]
Bernardo P. Ferreira
,
F. M. Andrade Pires
,
Miguel A. Bessa
J. Open Source Softw., 2023

Continual learning for surface defect segmentation by subnetwork creation and selection.
[BibTeX]
[DOI]
Aleksandr Dekhovich
,
Miguel A. Bessa
CoRR, 2023

iPINNs: Incremental learning for Physics-informed neural networks.
[BibTeX]
[DOI]
Aleksandr Dekhovich
,
Marcel H. F. Sluiter
,
David M. J. Tax
,
Miguel A. Bessa
CoRR, 2023

2022
Cooperative data-driven modeling.
[BibTeX]
[DOI]
Aleksandr Dekhovich
,
O. Taylan Turan
,
Jiaxiang Yi
,
Miguel A. Bessa
CoRR, 2022

2021
Sparse quantum Gaussian processes to counter the curse of dimensionality.
[BibTeX]
[DOI]
Gawel I. Kus
,
Sybrand van der Zwaag
,
Miguel A. Bessa
Quantum Mach. Intell., 2021

Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena.
[BibTeX]
[DOI]
Bernardo P. Ferreira
,
F. M. Andrade Pires
,
Miguel A. Bessa
CoRR, 2021

Neural network relief: a pruning algorithm based on neural activity.
[BibTeX]
[DOI]
Aleksandr Dekhovich
,
David M. J. Tax
,
Marcel H. F. Sluiter
,
Miguel A. Bessa
CoRR, 2021

Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning.
[BibTeX]
[DOI]
Dongil Shin
,
Andrea Cupertino
,
Matthijs H. J. de Jong
,
Peter G. Steeneken
,
Miguel A. Bessa
,
Richard A. Norte
CoRR, 2021

A New Automated Energy Meter Fraud Detection System Based on Artificial Intelligence.
[BibTeX]
[DOI]
João Pedro Klock
,
Jhonatan Corrêa
,
Miguel A. Bessa
,
Janier Arias-Garcia
,
Felipe Barboza
,
Carmo Meinertz
Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021


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