João P. P. Gomes

36 papers B 7Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Extending the Minimal Learning Machine for Classification and Regression on Interval-Valued Data. BRACIS (1) Diêgo F. Oliveira, César L. C. Mattos, João P. P. Gomes
2025	J	`jnl`	Minimal learning machine for multi-label learning. Mach. Learn. Joonas Hämäläinen, Antoine Hubermont, Amauri H. Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2024	J	`jnl`	Adaptive learning in computer science education: A scoping review. Educ. Inf. Technol. Pedro Luis Saraiva Barbosa, Rafael Augusto Ferreira do Carmo, João P. P. Gomes, Windson Viana
2024	J	`jnl`	Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification. Neural Comput. Appl. Airton F. Souza Neto, César L. C. Mattos, João P. P. Gomes
2023	J	`jnl`	Minimal Learning Machine for Multi-Label Learning. CoRR Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2023	J	`jnl`	Thin and Deep Gaussian Processes. CoRR 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
2022	J	`jnl`	Bayesian Multilateration. IEEE Signal Process. Lett. Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita
2022	J	`jnl`	On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 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
2022	J	`jnl`	Self-tuning portfolio-based Bayesian optimization. Expert Syst. Appl. Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes
2020	J	`jnl`	A new perspective for Minimal Learning Machines: A lightweight approach. Neurocomputing José A. V. Florêncio, Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto
2020	J	`jnl`	A sparse linear regression model for incomplete datasets. Pattern Anal. Appl. Marcelo B. A. Veras, Diego P. P. Mesquita, César Lincoln C. Mattos, João P. P. Gomes
2020	J	`jnl`	LS-SVR as a Bayesian RBF Network. IEEE Trans. Neural Networks Learn. Syst. Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2020	B	`conf`	On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm. CEC Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo Ramos Rodrigues
2020	J	`jnl`	Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression. Int. J. Neural Syst. Madson L. D. Dias, Átilla N. Maia, Ajalmar R. da Rocha Neto, João P. P. Gomes
2019	J	`jnl`	Gaussian kernels for incomplete data. Appl. Soft Comput. Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
2019	J	`jnl`	LS-SVR as a Bayesian RBF network. CoRR Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2019	J	`jnl`	Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
2019	B	`conf`	No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. ICTAI Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
2019	J	`jnl`	No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. CoRR Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
2019	—	`conf`	OnMLM: An Online Formulation for the Minimal Learning Machine. IWANN (1) Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto
2019	B	`conf`	Sparse minimal learning machine using a diversity measure minimization. ESANN Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2018	J	`jnl`	A bi-directional evaluation-based approach for image retargeting quality assessment. Comput. Vis. Image Underst. Saulo A. F. Oliveira, Shara S. A. Alves, João P. P. Gomes, Ajalmar R. da Rocha Neto
2018	J	`jnl`	Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems. J. Intell. Robotic Syst. Leonardo Ramos Rodrigues, João P. P. Gomes, João F. L. Alcântara
2018	J	`jnl`	Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine. New Gener. Comput. Weslley L. Caldas, João P. P. Gomes, Diego P. P. Mesquita
2018	—	`conf`	Optimally Selected Minimal Learning Machine. IDEAL (1) Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto
2018	J	`jnl`	Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach. Neurocomputing Saulo A. F. Oliveira, João P. P. Gomes, Ajalmar R. da Rocha Neto
2017	B	`conf`	A Robust Minimal Learning Machine based on the M-Estimator. ESANN João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen
2017	J	`jnl`	Ensemble of Efficient Minimal Learning Machines for Classification and Regression. Neural Process. Lett. Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior
2017	J	`jnl`	Euclidean distance estimation in incomplete datasets. Neurocomputing Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre
2017	—	`conf`	Forward Stagewise Regression on Incomplete Datasets. IWANN (1) Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto
2017	—	`conf`	Online Performance Modeling for NoSQL Databases using Extreme Learning Machines. SBBD (Short Papers) Victor A. E. de Farias, Pedro R. A. Pinheiro, Flávio R. C. Sousa, João P. P. Gomes, Javam C. Machado
2016	J	`jnl`	Classification with reject option for software defect prediction. Appl. Soft Comput. Diego P. P. Mesquita, Lincoln S. Rocha, João P. P. Gomes, Ajalmar R. da Rocha Neto
2016	B	`conf`	K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. ESANN Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues
2016	B	`conf`	Machine Learning Approach for Cloud NoSQL Databases Performance Modeling. CCGrid Victor A. E. de Farias, Flávio R. C. Sousa, José G. R. Maia, João P. P. Gomes, Javam C. Machado
2016	B	`conf`	Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. ESANN Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues
2015	J	`jnl`	Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning. IEEE Syst. J. Leonardo Ramos Rodrigues, João P. P. Gomes, Felipe A. S. Ferri, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior