| Machine learning algorithms for damage detection: Kernel-based approaches A Santos, E Figueiredo, MFM Silva, CS Sales, J Costa Journal of Sound and Vibration 363, 584-599, 2016 | 225 | 2016 |
| A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges M Silva, A Santos, E Figueiredo, R Santos, C Sales, JCWA Costa Engineering Applications of Artificial Intelligence 52, 168-180, 2016 | 135 | 2016 |
| Deep principal component analysis: An enhanced approach for structural damage identification M Silva, A Santos, R Santos, E Figueiredo, C Sales, JCWA Costa Structural Health Monitoring 18 (5-6), 1444-1463, 2019 | 69 | 2019 |
| Genetic‐based EM algorithm to improve the robustness of Gaussian mixture models for damage detection in bridges A Santos, E Figueiredo, M Silva, R Santos, C Sales, JCWA Costa Structural Control and Health Monitoring 24 (3), e1886, 2017 | 66 | 2017 |
| Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection MF Silva, A Santos, R Santos, E Figueiredo, J Costa Structural Control & Health Monitoring, 2021 | 41 | 2021 |
| Agglomerative concentric hypersphere clustering applied to structural damage detection M Silva, A Santos, R Santos, E Figueiredo, C Sales, JCWA Costa Mechanical Systems and Signal Processing 92, 196-212, 2017 | 40 | 2017 |
| A global expectation-maximization based on memetic swarm optimization for structural damage detection A Santos, M Silva, R Santos, E Figueiredo, C Sales, JCWA Costa Structural Health Monitoring 15 (5), 610-625, 2016 | 39 | 2016 |
| Applicability of linear and nonlinear principal component analysis for damage detection ADF Santos, MFM Silva, CS Sales, JCWA Costa, E Figueiredo 2015 IEEE International Instrumentation and Measurement Technology …, 2015 | 37 | 2015 |
| A semi-autonomous particle swarm optimizer based on gradient information and diversity control for global optimization R Santos, G Borges, A Santos, M Silva, C Sales, JCWA Costa Applied Soft Computing 69, 330-343, 2018 | 33 | 2018 |
| A global expectation–maximization approach based on memetic algorithm for vibration-based structural damage detection A Santos, R Santos, M Silva, E Figueiredo, C Sales, JCWA Costa IEEE Transactions on Instrumentation and Measurement 66 (4), 661-670, 2017 | 33 | 2017 |
| Learning long-and short-term temporal patterns for ML-driven fault management in optical communication networks MF Silva, A Pacini, A Sgambelluri, L Valcarenghi IEEE Transactions on Network and Service Management 19 (3), 2195-2206, 2022 | 25 | 2022 |
| Sparse and random sampling techniques for high-resolution, full-field, BSS-based structural dynamics identification from video B Martinez, A Green, MF Silva, Y Yang, D Mascareñas Sensors 20 (12), 3526, 2020 | 25 | 2020 |
| 3D structural vibration identification from dynamic point clouds MF Silva, A Green, J Morales, P Meyerhofer, Y Yang, E Figueiredo, ... Mechanical Systems and Signal Processing 166, 108352, 2022 | 24 | 2022 |
| Nonnegative matrix factorization-based blind source separation for full-field and high-resolution modal identification from video M Silva, B Martinez, E Figueiredo, JCWA Costa, Y Yang, D Mascarenas Journal of Sound and Vibration, 115586, 2020 | 24 | 2020 |
| On the vulnerability of data-driven structural health monitoring models to adversarial attack MD Champneys, A Green, J Morales, M Silva, D Mascarenas Structural Health Monitoring 20 (4), 1476-1493, 2021 | 15 | 2021 |
| A rotationally invariant semi-autonomous particle swarm optimizer with directional diversity R Santos, G Borges, A Santos, M Silva, C Sales, JCWA Costa Swarm and Evolutionary Computation 56, 100700, 2020 | 13 | 2020 |
| Damage detection for structural health monitoring of bridges as a knowledge discovery in databases process M Silva, A Santos, E Figueiredo Data Mining in Structural Dynamic Analysis: A Signal Processing Perspective …, 2019 | 12 | 2019 |
| Confidentiality-preserving machine learning algorithms for soft-failure detection in optical communication networks MF Silva, A Sgambelluri, A Pacini, F Paolucci, A Green, D Mascarenas, ... Journal of Optical Communications and Networking 15 (8), C212-C222, 2023 | 11 | 2023 |
| Peer-to-peer disaggregated telemetry for autonomic machine-learning-driven transceiver operation F Paolucci, A Sgambelluri, MF Silva, A Pacini, P Castoldi, L Valcarenghi, ... Journal of Optical Communications and Networking 14 (8), 606-620, 2022 | 8 | 2022 |
| Confidentiality-preserving machine learning scheme to detect soft-failures in optical communication networks MF Silva, A Pacini, A Sgambelluri, F Paolucci, L Valcarenghi European Conference and Exhibition on Optical Communication, Tu3B. 5, 2022 | 7 | 2022 |
Joao C W A Costa, JCWA Costa, Joao...Professor of Electrical and Computer Engineering, UFPA (Federal University of Para), BrazilEmail verificata su ufpa.br