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Márcia L. Baptista
Titolo
Citata da
Citata da
Anno
Forecasting Fault Events for Predictive Maintenance using Data-driven Techniques and ARMA Modeling
M Baptista, S Sankararaman, IP de Medeiros, C Nascimento Jr, ...
Computers & Industrial Engineering, 2017
2792017
Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering
M Baptista, EMP Henriques, IP de Medeiros, JP Malere, ...
Reliability Engineering & System Safety 184, 228-239, 2019
1252019
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
ML Baptista, K Goebel, EMP Henriques
Artificial Intelligence 306, 103667, 2022
1162022
Comparative case study of life usage and data-driven prognostics techniques using aircraft fault messages
M Baptista, IP de Medeiros, JP Malere, C Nascimento Jr, H Prendinger, ...
Computers in Industry 86, 1-14, 2017
312017
Accurate household occupant behavior modeling based on data mining techniques
M Baptista, A Fang, H Prendinger, R Prada, Y Yamaguchi
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
312014
More effective prognostics with elbow point detection and deep learning
ML Baptista, EMP Henriques, K Goebel
Mechanical Systems and Signal Processing 146, 106987, 2021
282021
Classification prognostics approaches in aviation
ML Baptista, EMP Henriques, H Prendinger
Measurement 182, 109756, 2021
192021
A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
ML Baptista, EMP Henriques, K Goebel
Neurocomputing 456, 268-287, 2021
182021
The role of social identity, rationality and anticipation in believable agents.
R Prada, G Raimundo, J Dimas, C Martinho, JF Peña, M Baptista, ...
AAMAS, 1175-1176, 2012
182012
Prognostics in aeronautics with deep recurrent neural networks
M Baptista, H Prendinger, E Henriques
PHM Society European Conference 5 (1), 11-11, 2020
142020
An agent-based model of consumer behavior based on the BDI architecture and neoclassical theory
ML Baptista, CR Martinho, F Lima, PA Santos, H Prendinger
Developments in Business Simulation and Experiential Learning: Proceedings …, 2014
132014
1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan
ML Baptista, EMP Henriques
Applied Soft Computing 131, 109785, 2022
122022
Using explainable artificial intelligence to interpret remaininguseful life estimation with gated recurrent unit
M Baptista, M Mishra, E Henriques, H Prendinger
122020
Drone, aircraft and bird identification in video images using object tracking and residual neural networks
A Fernandes, M Baptista, L Fernandes, P Chaves
2019 11th International Conference on Electronics, Computers and Artificial …, 2019
122019
Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance
Y Alomari, M Andó, ML Baptista
Scientific Reports 13 (1), 13466, 2023
102023
Applying agent-based modeling to business simulations
ML Baptista, CR Martinho, F Lima, PA Santos, H Prendinger
Developments in Business Simulation and Experiential Learning: Proceedings …, 2014
102014
Improved real-time wildfire detection using a surveillance system
M Batista, B Oliveira, P Chaves, JC Ferreira, T Brandao
Proceedings of the World Congress on Engineering, 2019
92019
A Comparison of Data-driven Techniques for Engine Bleed Valve Prognostics using Aircraft-derived Fault Messages
M Baptista, IP de Medeiros, JP Malere, H Prendinger, CL Nascimento Jr, ...
Annual European Conference of the Prognostics and Health Management Society, 2016
92016
Improving Learning in Business Simulations with an Agent-Based Approach
M Baptista, C Martinho, F Lima, PA Santos, H Prendinger
Journal of Artificial Societies and Social Simulation 17 (3), 2014
92014
improved time-based maintenance in aeronautics with regressive support vector machines
M Baptista, IP de Medeiros, JP Malere, H Prendinger, CL Nascimento Jr, ...
Annual Conference of the Prognostics and Health Management Society 2016 7, 10, 2016
82016
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