Miguel A. Bessa

27 papers Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graphorge: An open-source forge of graph neural networks. J. Open Source Softw. Bernardo P. Ferreira, Guillaume Broggi, Miguel A. Bessa
2025	J	`jnl`	Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency. CoRR Bernardo P. Ferreira, Miguel A. Bessa
2025	J	`jnl`	Continual learning for surface defect segmentation by subnetwork creation and selection. J. Intell. Manuf. Aleksandr Dekhovich, Miguel A. Bessa
2025	J	`jnl`	Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties. CoRR Jiaxiang Yi, Miguel A. Bessa
2025	J	`jnl`	Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization. CoRR Shunyu Yin, Bernardo P. Ferreira, Gawel Kus, Miguel A. Bessa
2025	J	`jnl`	Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning. CoRR Igor Kuszczak, Gawel I. Kus, Federico Bosi, Miguel A. Bessa
2025	J	`jnl`	Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling. CoRR Jiaxiang Yi, Bernardo P. Ferreira, Miguel A. Bessa
2025	J	`jnl`	iPINNs: incremental learning for Physics-informed neural networks. Eng. Comput. Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
2024	J	`jnl`	Consistent machine learning for topology optimization with microstructure-dependent neural network material models. CoRR Harikrishnan Vijayakumaran, Jonathan B. Russ, Glaucio H. Paulino, Miguel A. Bessa
2024	J	`jnl`	Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR 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
2024	J	`jnl`	Gradient-free neural topology optimization. CoRR Gawel I. Kus, Miguel A. Bessa
2024	J	`jnl`	Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption. CoRR Hirak Kansara, Siamak Farajzadeh Khosroshahi, Leo Guo, Miguel A. Bessa, Wei Tan
2024	J	`jnl`	Neural network relief: a pruning algorithm based on neural activity. Mach. Learn. Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2024	J	`jnl`	Neural topology optimization: the good, the bad, and the ugly. CoRR Suryanarayanan Manoj Sanu, Alejandro M. Aragón, Miguel A. Bessa
2024	J	`jnl`	Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models. CoRR Jiaxiang Yi, Ji Cheng, Miguel A. Bessa
2024	J	`jnl`	f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials. J. Open Source Softw. M. P. van der Schelling, Bernardo P. Ferreira, Miguel A. Bessa
2023	J	`jnl`	CRATE: A Python package to perform fast material simulations. J. Open Source Softw. Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
2023	J	`jnl`	Continual learning for surface defect segmentation by subnetwork creation and selection. CoRR Aleksandr Dekhovich, Miguel A. Bessa
2023	J	`jnl`	Continual prune-and-select: class-incremental learning with specialized subnetworks. Appl. Intell. Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2023	J	`jnl`	iPINNs: Incremental learning for Physics-informed neural networks. CoRR Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
2022	J	`jnl`	Continual Prune-and-Select: Class-incremental learning with specialized subnetworks. CoRR Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2022	J	`jnl`	Cooperative data-driven modeling. CoRR Aleksandr Dekhovich, O. Taylan Turan, Jiaxiang Yi, Miguel A. Bessa
2021	—	`conf`	A New Automated Energy Meter Fraud Detection System Based on Artificial Intelligence. SBESC João Pedro Klock, Jhonatan Corrêa, Miguel A. Bessa, Janier Arias-Garcia, Felipe Barboza, Carmo Meinertz
2021	J	`jnl`	Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena. CoRR Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa
2021	J	`jnl`	Neural network relief: a pruning algorithm based on neural activity. CoRR Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2021	J	`jnl`	Sparse quantum Gaussian processes to counter the curse of dimensionality. Quantum Mach. Intell. Gawel I. Kus, Sybrand van der Zwaag, Miguel A. Bessa
2021	J	`jnl`	Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning. CoRR Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte