João P. P. Gomes

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Incomplete Data

Receding Horizon

Sparse Regression

Support Vector Machine

Top Venues

Appl. Soft Comput.

Publications

Pedro Luis Saraiva Barbosa, Rafael Augusto Ferreira do Carmo, João P. P. Gomes, Windson Viana
Adaptive learning in computer science education: A scoping review. Educ. Inf. Technol. 29 (8) (2024)
Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
Minimal Learning Machine for Multi-Label Learning. CoRR (2023)
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)
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
On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 238 (2022)
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes
Self-tuning portfolio-based Bayesian optimization. Expert Syst. Appl. 188 (2022)
Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita
Bayesian Multilateration. IEEE Signal Process. Lett. 29 (2022)
José A. V. Florêncio, Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto
A new perspective for Minimal Learning Machines: A lightweight approach. Neurocomputing 401 (2020)
Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo R. Rodrigues
On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm. CEC (2020)
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
LS-SVR as a Bayesian RBF Network. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (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)
Madson L. D. Dias, Átilla N. Maia, Ajalmar R. da Rocha Neto, João P. P. Gomes
Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression. Int. J. Neural Syst. 30 (5) (2020)
Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR (2019)
Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
Sparse minimal learning machine using a diversity measure minimization. ESANN (2019)
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
LS-SVR as a Bayesian RBF network. CoRR (2019)
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. CoRR (2019)
Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
Gaussian kernels for incomplete data. Appl. Soft Comput. 77 (2019)
Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto
OnMLM: An Online Formulation for the Minimal Learning Machine. IWANN (1) (2019)
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. ICTAI (2019)
Weslley L. Caldas, João P. P. Gomes, Diego P. P. Mesquita
Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine. New Gener. Comput. 36 (1) (2018)
Leonardo Ramos Rodrigues, João P. P. Gomes, João F. L. Alcântara
Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems. J. Intell. Robotic Syst. 90 (1-2) (2018)
Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto
Optimally Selected Minimal Learning Machine. IDEAL (1) (2018)
Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto
Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach. Neurocomputing 321 (2018)
Saulo A. F. Oliveira, Shara S. A. Alves, João P. P. Gomes, Ajalmar R. da Rocha Neto
A bi-directional evaluation-based approach for image retargeting quality assessment. Comput. Vis. Image Underst. 168 (2018)
Diego Parente Paiva Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre
Euclidean distance estimation in incomplete datasets. Neurocomputing 248 (2017)
Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior
Ensemble of Efficient Minimal Learning Machines for Classification and Regression. Neural Process. Lett. 46 (3) (2017)
Victor A. E. de Farias, Pedro R. A. Pinheiro, Flávio R. C. Sousa, João P. P. Gomes, Javam C. Machado
Online Performance Modeling for NoSQL Databases using Extreme Learning Machines. SBBD (Short Papers) (2017)
João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen
A Robust Minimal Learning Machine based on the M-Estimator. ESANN (2017)
Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto
Forward Stagewise Regression on Incomplete Datasets. IWANN (1) (2017)
Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. ESANN (2016)
Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. ESANN (2016)
Victor A. E. de Farias, Flávio R. C. Sousa, José G. R. Maia, João P. P. Gomes, Javam C. Machado
Machine Learning Approach for Cloud NoSQL Databases Performance Modeling. CCGrid (2016)
Diego Parente Paiva Mesquita, Lincoln S. Rocha, João P. P. Gomes, Ajalmar R. da Rocha Neto
Classification with reject option for software defect prediction. Appl. Soft Comput. 49 (2016)
Leonardo Ramos Rodrigues, João P. P. Gomes, Felipe A. S. Ferri, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior
Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning. IEEE Syst. J. 9 (4) (2015)