João Paulo Pordeus Gomes

According to our database, João Paulo Pordeus Gomes authored at least 86 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Thin and Deep Gaussian Processes.

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

CoRR, 2023

Minimal Learning Machine for Multi-Label Learning.

Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

CoRR, 2023

Thin and deep Gaussian processes.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Multilateration.

Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita

IEEE Signal Process. Lett., 2022

On the design of a similarity function for sparse binary data with application on protein function annotation.

Marcelo B. A. Veras, Bishnu Sarker, Sabeur Aridhi, João P. P. Gomes, José A. F. de Macêdo, Engelbert Mephu Nguifo, Marie-Dominique Devignes, Malika Smaïl-Tabbone

Knowl. Based Syst., 2022

Self-tuning portfolio-based Bayesian optimization.

Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes

Expert Syst. Appl., 2022

The role of bug report evolution in reliable fixing estimation.

Renan Gomes Vieira, César Lincoln C. Mattos, Lincoln S. Rocha, João Paulo Pordeus Gomes, Matheus Paixão

Empir. Softw. Eng., 2022

Detecting Customer Induced Damages in Motherboards with Deep Neural Networks.

Danilo Alves, Victor A. E. de Farias, Iago C. Chaves, Richard Chao, João Paulo Madeiro, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the International Joint Conference on Neural Networks, 2022

Bayesian Analysis of Bug-Fixing Time using Report Data.

Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

Predicting Test Execution Times with Asymmetric Random Forests.

Francisco Pereira, Helio Silva, João Gomes, Javam C. Machado

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data.

Francisco Lucas Falcao Pereira, Raif C. B. Bucar, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models.

Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Iago C. Chaves, Javam C. Machado, João Paulo Pordeus Gomes

IEEE Trans. Computers, 2021

A novel fuzzy ARTMAP with area of influence.

Alan L. S. Matias, Ajalmar R. da Rocha Neto, César Lincoln C. Mattos, João Paulo Pordeus Gomes

Neurocomputing, 2021

Learning GPLVM with arbitrary kernels using the unscented transformation.

Daniel Augusto de Souza, Diego P. P. Mesquita, João Paulo Pordeus Gomes, César Lincoln C. Mattos

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

LS-SVR as a Bayesian RBF Network.

Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos

IEEE Trans. Neural Networks Learn. Syst., 2020

A sparse linear regression model for incomplete datasets.

Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes

Pattern Anal. Appl., 2020

A new perspective for Minimal Learning Machines: A lightweight approach.

José A. V. Florêncio, Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto

Neurocomputing, 2020

Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression.

Madson L. D. Dias, Átilla N. Maia, Ajalmar R. da Rocha Neto, João P. P. Gomes

Int. J. Neural Syst., 2020

Using Autoencoders for Anomaly Detection in Hard Disk Drives.

Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A New Methodology for Classifying QRS Morphology in ECG Signals.

Weslley L. Caldas, João Paulo do Vale Madeiro, César Lincoln C. Mattos, João Paulo Pordeus Gomes

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Hybrid TLBO-Particle Filter Algorithm Applied to Remaining Useful Life Prediction in the Presence of Multiple Degradation Factors.

Leonardo Ramos Rodrigues, Daniel B. P. Coelho, João Paulo Pordeus Gomes

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm.

Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo Ramos Rodrigues

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Artificial Neural Networks with Random Weights for Incomplete Datasets.

Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues

Neural Process. Lett., 2019

Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.

Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes

CoRR, 2019

Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels.

Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João Paulo Pordeus Gomes

CoRR, 2019

TLBO with variable weights applied to shop scheduling problems.

Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes

CAAI Trans. Intell. Technol., 2019

Gaussian kernels for incomplete data.

Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre

Appl. Soft Comput., 2019

From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects.

Renan Gomes Vieira, Antônio da Silva, Lincoln S. Rocha, João Paulo Pordeus Gomes

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

OnMLM: An Online Formulation for the Minimal Learning Machine.

Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto

Proceedings of the Advances in Computational Intelligence, 2019

No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization.

Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Sparse minimal learning machine using a diversity measure minimization.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines.

Daniel Souza, Thiago de P. Vasconcelos, César L. C. Mattos, João Gomes

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Evaluating One-Class Classifiers for Fault Detection in Hard Disk Drives.

Francisco Pereira, Daniel Teixeira, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Spare Parts List Recommendations for Multiple-Component Redundant Systems Using a Modified Pareto Ant Colony Optimization Approach.

Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes

IEEE Trans. Ind. Informatics, 2018

Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft.

João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Bruno P. Leao, Roberto Kawakami Harrop Galvão, Takashi Yoneyama

IEEE Trans Autom. Sci. Eng., 2018

Fault Detection in Hard Disk Drives Based on a Semi Parametric Model and Statistical Estimators.

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

New Gener. Comput., 2018

Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine.

Weslley L. Caldas, João P. P. Gomes, Diego P. P. Mesquita

New Gener. Comput., 2018

Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems.

Leonardo Ramos Rodrigues, João P. P. Gomes, João F. L. Alcântara

J. Intell. Robotic Syst., 2018

Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach.

Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto

Neurocomputing, 2018

Regression based performance modeling and provisioning for NoSQL cloud databases.

Victor A. E. de Farias, Flávio R. C. Sousa, José Gilvan Rodrigues Maia, João Paulo Pordeus Gomes, Javam C. Machado

Future Gener. Comput. Syst., 2018

A bi-directional evaluation-based approach for image retargeting quality assessment.

Saulo A. F. Oliveira, Shara S. A. Alves, João P. P. Gomes, Ajalmar R. da Rocha Neto

Comput. Vis. Image Underst., 2018

Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm.

Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Saulo A. F. Oliveira, Roberto Kawakami Harrop Galvão

Appl. Soft Comput., 2018

Fuzzy ART-Based Classification via Sparse Bayesian Learning.

Alan L. S. Matias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Remaining Useful Life Estimation of Hard Disk Drives based on Deep Neural Networks.

Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hard Disk Drive Failure Prediction Method Based On A Bayesian Network.

Iago C. Chaves, Manoel Rui P. de Paula, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Optimally Selected Minimal Learning Machine.

Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems.

Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Minimal Learning Machine for Interval-Valued Data.

Diego Farias de Oliveira, Nykolas Mayko Maia Barbosa, Alisson Sampaio Carvalho de Alencar, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Evaluation of Recurrent Neural Networks for Hard Disk Drives Failure Prediction.

Fernando Dione dos Santos Lima, Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam de Castro Machado

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Sparse Minimal Learning Machines Via L_1/2 Norm Regularization.

Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Rough Sets-Based Rule Induction for Numerical Datasets.

Rafael da Silva Albuquerque, Joao Fernando Lima Alcantara, João Paulo Pordeus Gomes

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

A Fault Detection Method for Hard Disk Drives Based on Mixture of Gaussians and Nonparametric Statistics.

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

IEEE Trans. Ind. Informatics, 2017

A stochastic framework for K-SVD with applications on face recognition.

Gustavo Malkomes, Carlos Eduardo Fisch de Brito, João Paulo Pordeus Gomes

Pattern Anal. Appl., 2017

Ensemble of Efficient Minimal Learning Machines for Classification and Regression.

Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior

Neural Process. Lett., 2017

Euclidean distance estimation in incomplete datasets.

Diego Parente Paiva Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre

Neurocomputing, 2017

Online Performance Modeling for NoSQL Databases using Extreme Learning Machines.

Victor A. E. de Farias, Pedro R. A. Pinheiro, Flávio R. C. Sousa, João P. P. Gomes, Javam C. Machado

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Forward Stagewise Regression on Incomplete Datasets.

Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto

Proceedings of the Advances in Computational Intelligence, 2017

A Robust Minimal Learning Machine based on the M-Estimator.

João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction.

Francisco Lucas Falcao Pereira, Fernando Dione dos Santos Lima, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Predicting Failures in Hard Drives with LSTM Networks.

Fernando Dione dos Santos Lima, Gabriel Maia Rocha Amaral, Lucas Goncalves de Moura Leite, João Paulo Pordeus Gomes, Javam de Castro Machado

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Asymmetric Unscented Transform for Failure Prognosis.

Bruno P. Leao, Takashi Yoneyama, João Paulo Pordeus Gomes

IEEE Trans. Reliab., 2016

A New Degradation Indicator Based on a Statistical Anomaly Approach.

João Paulo Pordeus Gomes, Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Bruno P. Leao

IEEE Trans. Reliab., 2016

Classification with reject option for software defect prediction.

Diego Parente Paiva Mesquita, Lincoln S. Rocha, João P. P. Gomes, Ajalmar R. da Rocha Neto

Appl. Soft Comput., 2016

A new pruning method for extreme learning machines via genetic algorithms.

Alisson S. C. Alencar, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Appl. Soft Comput., 2016

Texture Analysis Using Informed Search in Graphs.

Romulo L. Frutuoso, João Paulo Pordeus Gomes, Emanuele Marques dos Santos, Joaquim B. Cavalcante Neto, Creto Augusto Vidal

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Elastic provisioning for cloud databases with uncertainty management.

Victor A. E. de Farias, Flávio R. C. Sousa, José Gilvan Rodrigues Maia, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Radial Basis Function Neural Networks for Datasets with Missing Values.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes

Proceedings of the Intelligent Systems Design and Applications, 2016

Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness.

Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values.

Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Machine Learning Approach for Cloud NoSQL Databases Performance Modeling.

Victor A. E. de Farias, Flávio R. C. Sousa, José G. R. Maia, João P. P. Gomes, Javam C. Machado

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Fault Detection in Hard Disk Drives Based on Mixture of Gaussians.

Lucas P. Queiroz, Francisco Caio M. Rodrigues, João Paulo Pordeus Gomes, Felipe T. Brito, Iago C. Brito, Javam C. Machado

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Towards Fixation Prediction: A Nonparametric Estimation-Based Approach through Key-Points.

Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Efficient Minimal Learning Machines with Reject Option.

Adonias C. de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator.

Filipe F. R. Damasceno, Marcelo B. A. Veras, Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Carlos Eduardo Fisch de Brito

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives.

Iago C. Chaves, Manoel Rui P. de Paula, Lucas Goncalves de Moura Leite, Lucas P. Queiroz, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine.

Weslley L. Caldas, João Paulo Pordeus Gomes, Michelle G. Cacais, Diego Parente Paiva Mesquita

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning.

Leonardo Ramos Rodrigues, João P. P. Gomes, Felipe A. S. Ferri, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior

IEEE Syst. J., 2015

Ensemble of Minimal Learning Machines for Pattern Classification.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri Holanda Souza Júnior

Proceedings of the Advances in Computational Intelligence, 2015

A Minimal Learning Machine for Datasets with Missing Values.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri H. Souza Jr.

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Cost Sensitive Minimal Learning Machine for Pattern Classification.

João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Predicting Overtemperature Events in Graphics Cards Using Regression Models.

Francisco Caio M. Rodrigues, Lucas P. Queiroz, João Paulo Pordeus Gomes, Javam C. Machado

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine.

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

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

An Improvement of the K-SVD Algorithm with Applications on Face Recognition.

Gustavo Malkomes, João Paulo Pordeus Gomes, Carlos Fisch Brito

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Regularized Supervised Distance Preserving Projections for Short-Text Classification.

Alisson S. C. Alencar, João Paulo Pordeus Gomes, Amauri H. de Souza, Livio A. M. Freire, José Wellington Franco da Silva, Rossana M. C. Andrade, Miguel F. de Castro

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Combining PHM information and system architecture to support aircraft maintenance planning.

Felipe Augusto Sviaghin Ferri, Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior

Proceedings of the IEEE International Systems Conference, 2013