César Lincoln C. Mattos

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Linear Regression

Top Venues

Publications

Alan L. S. Matias, João Paulo Pordeus Gomes, César Lincoln C. Mattos, Ajalmar R. da Rocha Neto, Diego Mesquita
Bayesian ART for incomplete datasets. Appl. Soft Comput. 163 (2024)
Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos
Thin and Deep Gaussian Processes. CoRR (2023)
Renan Gomes Vieira, César Lincoln C. Mattos, Lincoln S. Rocha, João Paulo Pordeus Gomes, Matheus Paixão
The role of bug report evolution in reliable fixing estimation. Empir. Softw. Eng. 27 (7) (2022)
Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes
Bayesian Analysis of Bug-Fixing Time using Report Data. ESEM (2022)
Daniel de Souza, Diego P. P. Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos
Learning GPLVM with arbitrary kernels using the unscented transformation. AISTATS (2021)
José Augusto Câmara Filho, José Maria Monteiro, César Lincoln C. Mattos, Juvêncio Santos Nobre
A Practical Guide to Support Predictive Tasks in Data Science. ICEIS (1) (2021)
Alan L. S. Matias, Ajalmar R. da Rocha Neto, César Lincoln C. Mattos, João Paulo Pordeus Gomes
A novel fuzzy ARTMAP with area of influence. Neurocomputing 432 (2021)
Lucas Cabral, José Maria Monteiro, José Wellington Franco da Silva, César Lincoln C. Mattos, Pedro Jorge Chaves Mourão
FakeWhastApp.BR: NLP and Machine Learning Techniques for Misinformation Detection in Brazilian Portuguese WhatsApp Messages. ICEIS (1) (2021)
Madson Luiz Dantas Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva
Anomaly Detection in Trajectory Data with Normalizing Flows. CoRR (2020)
Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva
Anomaly Detection in Trajectory Data with Normalizing Flows. IJCNN (2020)
Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes
A sparse linear regression model for incomplete datasets. Pattern Anal. Appl. 23 (3) (2020)
Weslley L. Caldas, João Paulo do Vale Madeiro, César Lincoln C. Mattos, João Paulo Pordeus Gomes
A New Methodology for Classifying QRS Morphology in ECG Signals. IJCNN (2020)
César Lincoln C. Mattos, Guilherme A. Barreto
A stochastic variational framework for Recurrent Gaussian Processes models. Neural Networks 112 (2019)
Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes
Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels. CoRR (2019)
César Lincoln C. Mattos, Guilherme A. Barreto, Gonzalo Acuña
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. IWANN (1) (2017)
César Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. WSOM (2017)
César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence
Recurrent Gaussian Processes. ICLR (Poster) (2016)
José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto
Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. IWANN (2) (2015)
César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
An Empirical Evaluation of Robust Gaussian Process Models for System Identification. IDEAL (2015)
César Lincoln C. Mattos, Guilherme A. Barreto, Francisco Rodrigo P. Cavalcanti
An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation. Electron. Commer. Res. 14 (1) (2014)
José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto
A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. IDEAL (2014)
César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
Improved Adaline Networks for Robust Pattern Classification. ICANN (2014)
César Lincoln C. Mattos, Guilherme A. Barreto
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks. Neural Comput. Appl. 22 (1) (2013)