Miguel A. Bessa

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Pruning Algorithm

Bayesian Models

Fraud Detection

Top Venues

Quantum Mach. Intell.

Publications

Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR (2024)
Gawel I. Kus, Miguel A. Bessa
Gradient-free neural topology optimization. CoRR (2024)
Suryanarayanan Manoj Sanu, Alejandro M. Aragon, Miguel A. Bessa
Neural topology optimization: the good, the bad, and the ugly. CoRR (2024)
Jiaxiang Yi, Ji Cheng, Miguel A. Bessa
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models. CoRR (2024)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Neural network relief: a pruning algorithm based on neural activity. Mach. Learn. 113 (5) (2024)
Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
CRATE: A Python package to perform fast material simulations. J. Open Source Softw. 8 (88) (2023)
Aleksandr Dekhovich, Miguel A. Bessa
Continual learning for surface defect segmentation by subnetwork creation and selection. CoRR (2023)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Continual prune-and-select: class-incremental learning with specialized subnetworks. Appl. Intell. 53 (14) (2023)
Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
iPINNs: Incremental learning for Physics-informed neural networks. CoRR (2023)
Aleksandr Dekhovich, O. Taylan Turan, Jiaxiang Yi, Miguel A. Bessa
Cooperative data-driven modeling. CoRR (2022)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks. CoRR (2022)
João Pedro Klock, Jhonatan Corrêa, Miguel A. Bessa, Janier Arias-Garcia, Felipe Barboza, Carmo Meinertz
A New Automated Energy Meter Fraud Detection System Based on Artificial Intelligence. SBESC (2021)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Neural network relief: a pruning algorithm based on neural activity. CoRR (2021)
Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning. CoRR (2021)
Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena. CoRR (2021)
Gawel I. Kus, Sybrand van der Zwaag, Miguel A. Bessa
Sparse quantum Gaussian processes to counter the curse of dimensionality. Quantum Mach. Intell. 3 (1) (2021)