Ajalmar R. da Rocha Neto

According to our database, Ajalmar R. da Rocha Neto authored at least 60 papers between 2011 and 2024.

Collaborative distances:

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

2024

Bayesian ART for incomplete datasets.

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

Appl. Soft Comput., 2024

Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy.

Felipe P. Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. da Rocha Neto, Victor Oliveira Santos

Proceedings of the International Joint Conference on Neural Networks, 2024

A New Training Algorithm for Support Vector Machines.

Acélio Sousa, Thiago Alves Rocha, Ajalmar Rêgo da Rocha Neto

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023

An Outlier-Robust Growing Local Model Network for Recursive System Identification.

Jessyca Almeida Bessa, Guilherme A. Barreto, Ajalmar R. da Rocha Neto

Neural Process. Lett., 2023

Logic-Based Explanations for Linear Support Vector Classifiers with Reject Option.

Francisco Mateus Rocha, Thiago Alves Rocha, Reginaldo Pereira Fernandes Ribeiro, Ajalmar Rêgo da Rocha Neto

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Face ReID Method via Deep Learning.

Yves Augusto Lima Romero, Ajalmar Rêgo da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Binary Water Flow Optimizer Applied to Feature Selection.

Fagner José de Matos Macêdo, Ajalmar Rêgo da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

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

2020

On robust randomized neural networks for regression: a comprehensive review and evaluation.

Ananda L. Freire, Ajalmar R. da Rocha Neto, Guilherme A. Barreto

Neural Comput. 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

2019

An Improved Retinal Blood Vessel Detection System Using an Extreme Learning Machine.

Lucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira

Int. J. E Health Medical Commun., 2019

Classification with Rejection Option Using the Fuzzy ARTMAP Neural Network.

Francisco Felipe M. Sousa, Alan Lucas Silva Matias, Ajalmar Rêgo da Rocha Neto

Proceedings of the Advances in Computational Intelligence, 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

A Fixed-Size Pruning Approach for Optimum-Path Forest.

Leonardo da Silva Costa, Gabriel Santos Barbosa, Ajalmar Rêgo da Rocha Neto

Proceedings of the Advances in Computational Intelligence, 2019

Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach.

Pedro Hericson Machado Araújo, Ajalmar Rêgo da Rocha Neto

Proceedings of the Advances in Computational Intelligence, 2019

A Novel Recommendation System for Next Feature in Software.

Victor R. Prata, Ronaldo S. Moreira, Luan Sousa Cordeiro, Átilla N. Maia, Alan Rabelo Martins, Davi A. Leão, C. H. L. Cavalcante, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 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

Pill Image Classification using Machine Learning.

Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto

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

2018

Fixed-Size Extreme Learning Machines Through Simulated Annealing.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire

Neural Process. Lett., 2018

OnARTMAP: A Fuzzy ARTMAP-based Architecture.

Alan L. S. Matias, Ajalmar R. da Rocha Neto

Neural Networks, 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

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

A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines.

José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior

Proceedings of the Fuzzy Information Processing, 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

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

Opposite neighborhood: a new method to select reference points of minimal learning machines.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior

Proceedings of the 26th European Symposium on Artificial Neural Networks, 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

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 New Genetic Algorithm-Based Pruning Approach for Optimum-Path Forest.

Gabriel Santos Barbosa, Leonardo da Silva Costa, Ajalmar Rêgo da Rocha Neto

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

2017

Training soft margin support vector machines by simulated annealing: A dual approach.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Expert Syst. Appl., 2017

Gaussian Opposite Maps for Reduced-Set Relevance Vector Machines.

Lucas Silva de Sousa, Ajalmar Rêgo da Rocha Neto

Proceedings of the Advances in Computational Intelligence, 2017

Opposite-to-Noise ARTMAP Neural Network.

Alan Matias, Ajalmar R. da Rocha Neto, Atslands Rego da Rocha

Proceedings of the Advances in Computational Intelligence, 2017

Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach.

Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire

Proceedings of the Advances in Computational Intelligence, 2017

High-Pass Learning Machine: An Edge Detection Approach.

Alan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

2016

A novel Genetic Algorithms and SURF-Based approach for image retargeting.

Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Francisco Nivando Bezerra

Expert Syst. Appl., 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

A Robust and Optimally Pruned Extreme Learning Machine.

Ananda L. Freire, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Systems Design and Applications, 2016

A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Systems Design and Applications, 2016

Sparse Least squares support vector regression via Multiresponse Sparse Regression.

David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Sparse Least Squares Support Vector Machines via Multiresponse Sparse Regression.

David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues

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

Evolutionary support vector machines: A dual approach.

Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto

Proceedings of the IEEE Congress on Evolutionary Computation, 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

2015

Robust classification with reject option using the self-organizing map.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto

Neural Comput. Appl., 2015

Novel approaches using evolutionary computation for sparse least square support vector machines.

Danilo Avilar Silva, Juliana Peixoto Silva, Ajalmar Rêgo Rocha Neto

Neurocomputing, 2015

Radial snakes: Comparison of segmentation methods in synthetic noisy images.

Jessyca Almeida Bessa, Paulo César Cortez, John Hebert da Silva Felix, Ajalmar Rêgo da Rocha Neto, Auzuir Ripardo de Alexandria

Expert Syst. Appl., 2015

A Genetic Algorithms-Based LSSVM Classifier for Fixed-Size Set of Support Vectors.

Danilo Avilar Silva, Ajalmar Rêgo Rocha Neto

Proceedings of the Advances in Computational Intelligence, 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

Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting.

Saulo A. F. Oliveira, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014

Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines.

Danilo Avilar Silva, Ajalmar Rêgo Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Classification with Reject Option Using the Self-Organizing Map.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

reject option paradigm for the reduction of support vectors.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers.

Ajalmar R. da Rocha Neto, Guilherme A. Barreto

Neural Process. Lett., 2013

2012

Opposite Maps for Hard Margin Support Vector Machines.

Ajalmar R. da Rocha Neto, Guilherme A. Barreto

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs.

Ajalmar R. da Rocha Neto, Guilherme De A. Barreto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011

Vertebral Column.

Guilherme De A. Barreto, Ajalmar R. da Rocha Neto

Dataset, August, 2011

A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map.

Ajalmar R. da Rocha Neto, Guilherme De A. Barreto

Proceedings of the Advances in Computational Intelligence, 2011

Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option.

Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011