César Lincoln Cavalcante Mattos
César Lincoln Cavalcante Mattos
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Ano
Recurrent Gaussian Processes
CLC Mattos, Z Dai, A Damianou, J Forth, GA Barreto, ND Lawrence
International Conference on Learning Representations (ICLR), 2016
66*2016
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks
CLC Mattos, GA Barreto
Neural Computing and Applications 22 (1), 49-61, 2013
252013
Systems and methods for synthesis of motion for animation of virtual heads/characters via voice processing in portable devices
PC Cortez, RCS Costa, RDS Siqueira, CFL Neto, FC Ribeiro, ...
US Patent 8,725,507, 2014
242014
Deep recurrent Gaussian processes for outlier-robust system identification
CLC Mattos, Z Dai, A Damianou, GA Barreto, ND Lawrence
Journal of Process Control 60, 82-94, 2017
232017
Latent autoregressive Gaussian processes models for robust system identification
CLC Mattos, A Damianou, GA Barreto, ND Lawrence
IFAC-PapersOnLine 49 (7), 1121-1126, 2016
162016
Heart diseases prediction using data from health assurance systems in models and methods for supporting decision-making in human health and environment protection
RF Ramos, CLC Mattos, AHS Júnior, ARR Neto, GA Barreto, HA Mazzal, ...
Computer Systems and Applications (AICCSA), Nova Publishers, 1-5, 2016
92016
An empirical evaluation of robust Gaussian process models for system identification
CLC Mattos, JDA Santos, GA Barreto
International Conference on Intelligent Data Engineering and Automated …, 2015
92015
An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation
CLC Mattos, GA Barreto, FRP Cavalcanti
Electronic Commerce Research 14 (1), 51-70, 2014
72014
Anomaly detection in trajectory data with normalizing flows
MLD Dias, CLC Mattos, TLC da Silva, JAF de Macêdo, WCP Silva
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
62020
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data
CLC Mattos, GA Barreto, D Horstkemper, B Hellingrath
2017 12th International Workshop on Self-Organizing Maps and Learning Vector …, 2017
62017
Meloidogyne exigua, sério patógeno da seringueira nas plantações
JM Santos, C MATTOS, L BARRÉ, S FERRAZ
Michelin, em Rondonópolis, MT. In: CONGRESSO BRASILEIRO DE NEMATOLOGIA, 75, 1992
61992
Gaussian processes with logistic mean function for modeling wind turbine power curves
GCM Virgolino, CLC Mattos, JAF Magalhães, GA Barreto
Renewable Energy 162, 458-465, 2020
32020
LS-SVR as a Bayesian RBF network
DPP Mesquita, LA Freitas, JPP Gomes, CLC Mattos
IEEE transactions on neural networks and learning systems 31 (10), 4389-4393, 2019
32019
Minimal learning machine: Theoretical results and clustering-based reference point selection
J Hämäläinen, ASC Alencar, T Kärkkäinen, CLC Mattos, AHS Júnior, ...
arXiv preprint arXiv:1909.09978, 2019
32019
Performance evaluation of least squares SVR in robust dynamical system identification
JDA Santos, CLC Mattos, GA Barreto
International Work-Conference on Artificial Neural Networks, 422-435, 2015
32015
Comitês de classificadores baseados nas Redes SOM e Fuzzy ART com sintonia de parâmetros e seleção de atributos via metaheurísticas evolucionárias
CLC Mattos
32011
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
J Hämäläinen, ASC Alencar, T Kärkkäinen, CLC Mattos, AH Souza Júnior, ...
Journal of Machine Learning Research 21, 2020
22020
Evaluation of data based normal behavior models for fault detection in wind turbines
D Souza, T Vasconcelos, C Mattos, J Gomes
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 878-883, 2019
22019
Recurrent Gaussian processes and robust dynamical modeling
CLC Mattos
Federal University of Ceará, 2017
22017
Acesso Remoto e Compartilhamento de Simuladores através de Ambientes Virtuais de Aprendizagem
JM Soares, FR Leite, CLC Mattos, GC Barroso, RF Sampaio, RPS Leão
Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2006
22006
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