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César Lincoln Cavalcante Mattos
César Lincoln Cavalcante Mattos
Outros nomesCésar Lincoln Mattos, César Mattos, César Lincoln C. Mattos
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Recurrent Gaussian Processes
CLC MATTOS, Z DAI, A DAMIANOU, J FORTH, GA BARRETO, ...
International Conference on Learning Representations (ICLR), 2016
90*2016
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
372014
Anomaly detection in trajectory data with normalizing flows
MLD Dias, CLC Mattos, TLC da Silva, JAF de Macedo, WCP Silva
2020 international joint conference on neural networks (IJCNN), 1-8, 2020
322020
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
312017
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks
CLC Mattos, GA Barreto
Neural Computing and Applications 22, 49-61, 2013
262013
Minimal learning machine: Theoretical results and clustering-based reference point selection
J Hämäläinen, ASC Alencar, T Kärkkäinen, CLC Mattos, AHS Júnior, ...
Journal of Machine Learning Research 21 (239), 1-29, 2020
222020
Latent autoregressive Gaussian processes models for robust system identification
CLC Mattos, A Damianou, GA Barreto, ND Lawrence
IFAC-PapersOnLine 49 (7), 1121-1126, 2016
212016
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
172020
FakeWhastApp. BR: NLP and Machine Learning Techniques for Misinformation Detection in Brazilian Portuguese WhatsApp Messages.
L Cabral, JM Monteiro, JWF da Silva, CLC Mattos, PJC Mourao
ICEIS (1), 63-74, 2021
152021
No-PASt-BO: Normalized portfolio allocation strategy for Bayesian optimization
TP Vasconcelos, DA de Souza, CLC Mattos, JPP Gomes
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
152019
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
112019
Self-tuning portfolio-based Bayesian optimization
TP Vasconcelos, DARMA de Souza, GCM Virgolino, CLC Mattos, ...
Expert Systems With Applications 188, 115847, 2022
92022
An optimized approach to Huntington’s disease detecting via audio signals processing with dimensionality reduction
MT Guimarães, AG Medeiros, JS Almeida, MF y Martin, R Damaševičius, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
92020
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
92017
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
Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 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, 51-70, 2014
82014
A text classification methodology to assist a large technical support system
EF Ohata, CLC Mattos, SL Gomes, EDS Rebouças, PAL Rego
IEEE Access 10, 108413-108421, 2022
72022
A sparse linear regression model for incomplete datasets
MBA Veras, DPP Mesquita, CLC Mattos, JPP Gomes
Pattern Analysis and Applications 23 (3), 1293-1303, 2020
62020
The role of bug report evolution in reliable fixing estimation
RG Vieira, CLC Mattos, LS Rocha, JPP Gomes, M Paixão
Empirical Software Engineering 27 (7), 164, 2022
52022
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