João Paulo Pordeus Gomes

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 46

Top Topics

Norm Regularization

Failure Prediction

Learning Machines

Top Venues

Appl. Soft Comput.

Empir. Softw. Eng.

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)
Antônio da Silva, Renan Gomes Vieira, Diego P. P. Mesquita, João Paulo Pordeus Gomes, Lincoln S. Rocha
Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop. Empir. Softw. Eng. 29 (4) (2024)
Daniel Augusto de Souza, Alexander Nikitin, ST John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César C. Lincoln Mattos
Thin and deep Gaussian processes. NeurIPS (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)
Francisco Lucas Falcao Pereira, Raif C. B. Bucar, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado
Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data. BRACIS (2) (2022)
Danilo Alves, Victor A. E. de Farias, Iago C. Chaves, Richard Chao, João Paulo Madeiro, João Paulo Pordeus Gomes, Javam C. Machado
Detecting Customer Induced Damages in Motherboards with Deep Neural Networks. IJCNN (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)
Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Iago C. Chaves, Javam C. Machado, João Paulo Pordeus Gomes
Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models. IEEE Trans. Computers 70 (2) (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)
Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam C. Machado
Using Autoencoders for Anomaly Detection in Hard Disk Drives. IJCNN (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)
Leonardo Ramos Rodrigues, Daniel B. P. Coelho, João Paulo Pordeus Gomes
A Hybrid TLBO-Particle Filter Algorithm Applied to Remaining Useful Life Prediction in the Presence of Multiple Degradation Factors. CEC (2020)
Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
Artificial Neural Networks with Random Weights for Incomplete Datasets. Neural Process. Lett. 50 (3) (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)
Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes
TLBO with variable weights applied to shop scheduling problems. CAAI Trans. Intell. Technol. 4 (3) (2019)
Renan Vieira, Antônio da Silva, Lincoln S. Rocha, João Paulo Pordeus Gomes
From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects. PROMISE (2019)
Iago C. Chaves, Manoel Rui P. de Paula, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado
Hard Disk Drive Failure Prediction Method Based On A Bayesian Network. IJCNN (2018)
Lucas P. Queiroz, João Paulo Pordeus Gomes, Francisco Caio M. Rodrigues, Felipe T. Brito, Iago C. Chaves, Lucas Goncalves de Moura Leite, Javam C. Machado
Fault Detection in Hard Disk Drives Based on a Semi Parametric Model and Statistical Estimators. New Gener. Comput. 36 (1) (2018)
Rafael da Silva Albuquerque, Joao Fernando Lima Alcantara, João Paulo Pordeus Gomes
A Rough Sets-Based Rule Induction for Numerical Datasets. BRACIS (2018)
Diego Farias de Oliveira, Nykolas Mayko Maia Barbosa, Alisson Sampaio Carvalho de Alencar, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
Minimal Learning Machine for Interval-Valued Data. BRACIS (2018)
Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Saulo A. F. Oliveira, Roberto Kawakami Harrop Galvão
Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm. Appl. Soft Comput. 70 (2018)
Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes
Spare Parts List Recommendations for Multiple-Component Redundant Systems Using a Modified Pareto Ant Colony Optimization Approach. IEEE Trans. Ind. Informatics 14 (3) (2018)
Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Sparse Minimal Learning Machines Via L_1/2 Norm Regularization. BRACIS (2018)
Alan L. S. Matias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Fuzzy ART-Based Classification via Sparse Bayesian Learning. IJCNN (2018)
Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado
Remaining Useful Life Estimation of Hard Disk Drives based on Deep Neural Networks. IJCNN (2018)
Fernando Dione dos Santos Lima, Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam de Castro Machado
Evaluation of Recurrent Neural Networks for Hard Disk Drives Failure Prediction. BRACIS (2018)
Victor A. E. de Farias, Flávio R. C. Sousa, José Gilvan Rodrigues Maia, João Paulo Pordeus Gomes, Javam C. Machado
Regression based performance modeling and provisioning for NoSQL cloud databases. Future Gener. Comput. Syst. 79 (2018)
Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems. CEC (2018)
João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Bruno P. Leao, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Francisco Lucas Falcao Pereira, Fernando Dione dos Santos Lima, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado
Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction. BRACIS (2017)
Fernando Dione dos Santos Lima, Gabriel Maia Rocha Amaral, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado
Predicting Failures in Hard Drives with LSTM Networks. BRACIS (2017)
Gustavo Malkomes, Carlos Eduardo Fisch de Brito, João Paulo Pordeus Gomes
A stochastic framework for K-SVD with applications on face recognition. Pattern Anal. Appl. 20 (3) (2017)
Lucas P. Queiroz, Francisco Caio M. Rodrigues, João Paulo Pordeus Gomes, Felipe T. Brito, Iago C. Chaves, Manoel Rui P. de Paula, Marcos Rogério Salvador, Javam C. Machado
A Fault Detection Method for Hard Disk Drives Based on Mixture of Gaussians and Nonparametric Statistics. IEEE Trans. Ind. Informatics 13 (2) (2017)
Filipe F. R. Damasceno, Marcelo B. A. Veras, Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Carlos Eduardo Fisch de Brito
Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator. BRACIS (2016)
Lucas P. Queiroz, Francisco Caio M. Rodrigues, João Paulo Pordeus Gomes, Felipe T. Brito, Iago C. Brito, Javam C. Machado
Fault Detection in Hard Disk Drives Based on Mixture of Gaussians. BRACIS (2016)
Iago C. Chaves, Manoel Rui P. de Paula, Lucas Goncalves de Moura Leite, Lucas P. Queiroz, João Paulo Pordeus Gomes, Javam C. Machado
BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives. BRACIS (2016)
Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Towards Fixation Prediction: A Nonparametric Estimation-Based Approach through Key-Points. BRACIS (2016)
Weslley L. Caldas, João Paulo Pordeus Gomes, Michelle G. Cacais, Diego Parente Paiva Mesquita
Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine. BRACIS (2016)
Bruno P. Leao, Takashi Yoneyama, João Paulo Pordeus Gomes
Asymmetric Unscented Transform for Failure Prognosis. IEEE Trans. Reliab. 65 (3) (2016)
Victor A. E. de Farias, Flávio R. C. Sousa, José Gilvan Rodrigues Maia, João Paulo Pordeus Gomes, Javam C. Machado
Elastic provisioning for cloud databases with uncertainty management. SAC (2016)
João Paulo Pordeus Gomes, Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Bruno P. Leao
A New Degradation Indicator Based on a Statistical Anomaly Approach. IEEE Trans. Reliab. 65 (1) (2016)
Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes
Radial Basis Function Neural Networks for Datasets with Missing Values. ISDA (2016)
Romulo L. Frutuoso, João Paulo Pordeus Gomes, Emanuele Marques dos Santos, Joaquim B. Cavalcante Neto, Creto Augusto Vidal
Texture Analysis Using Informed Search in Graphs. SIBGRAPI (2016)
Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues
Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform. BRACIS (2016)
Alisson S. C. Alencar, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
A new pruning method for extreme learning machines via genetic algorithms. Appl. Soft Comput. 44 (2016)
Adonias C. de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
Efficient Minimal Learning Machines with Reject Option. BRACIS (2016)
Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri H. Souza Jr.
A Minimal Learning Machine for Datasets with Missing Values. ICONIP (1) (2015)
João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto
A Cost Sensitive Minimal Learning Machine for Pattern Classification. ICONIP (1) (2015)
Alisson S. C. Alencar, Weslley L. Caldas, João Paulo Pordeus Gomes, Amauri H. de Souza, Paulo A. C. Aguilar, Cristiano Rodrigues, Wellington Franco, Miguel F. de Castro, Rossana M. C. Andrade
MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine. BRACIS (2015)
Francisco Caio M. Rodrigues, Lucas P. Queiroz, João Paulo Pordeus Gomes, Javam C. Machado
Predicting Overtemperature Events in Graphics Cards Using Regression Models. BRACIS (2015)
Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri Holanda Souza Júnior
Ensemble of Minimal Learning Machines for Pattern Classification. IWANN (2) (2015)
Alisson S. C. Alencar, João Paulo Pordeus Gomes, Amauri H. de Souza, Livio A. M. Freire, Jose Wellington F. Silva, Rossana M. C. Andrade, Miguel F. de Castro
Regularized Supervised Distance Preserving Projections for Short-Text Classification. BRACIS (2014)
Gustavo Malkomes, João Paulo Pordeus Gomes, Carlos Fisch Brito
An Improvement of the K-SVD Algorithm with Applications on Face Recognition. BRACIS (2014)
Felipe Augusto Sviaghin Ferri, Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior
Combining PHM information and system architecture to support aircraft maintenance planning. SysCon (2013)