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 001 (IbPRIA, 2011)

A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. - Ajalmar R. da Rocha Neto; Guilherme De A. Barreto (IWANN (1), 2011)

Vertebral Column. - Guilherme De A. Barreto; Ajalmar R. da Rocha Neto (UCI Machine Learning Repository, 2011)

Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. - Ajalmar R. da Rocha Neto; Guilherme De A. Barreto (IDEAL, 2012)

Opposite Maps for Hard Margin Support Vector Machines. - Ajalmar R. da Rocha Neto; Guilherme A. Barreto (WSOM, 2012)

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)

reject option paradigm for the reduction of support vectors. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Guilherme A. Barreto; Jaime S. Cardoso 001; Miguel T. Coimbra (ESANN, 2014)

Classification with Reject Option Using the Self-Organizing Map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme De A. Barreto (ICANN, 2014)

Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines. - Danilo Avilar Silva; Ajalmar Rêgo Rocha Neto (IDEAL, 2014)

Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting. - Saulo A. F. Oliveira; Francisco Nivando Bezerra; Ajalmar R. da Rocha Neto (IbPRIA, 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 (ICONIP (1), 2015)

A Genetic Algorithms-Based LSSVM Classifier for Fixed-Size Set of Support Vectors. - Danilo Avilar Silva; Ajalmar Rêgo Rocha Neto (IWANN (2), 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)

Novel approaches using evolutionary computation for sparse least square support vector machines. - Danilo Avilar Silva; Juliana Peixoto Silva; Ajalmar Rêgo Rocha Neto (Neurocomputing, 2015)

Robust classification with reject option using the self-organizing map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme A. Barreto (Neural Comput. Appl., 2015)

Efficient Minimal Learning Machines with Reject Option. - Adonias Caetano de Oliveira; João Paulo Pordeus Gomes; Ajalmar R. da Rocha Neto; Amauri H. de Souza (BRACIS, 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 (BRACIS, 2016)

Evolutionary support vector machines: A dual approach. - Madson Luiz Dantas Dias; Ajalmar R. da Rocha Neto (CEC, 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 (ESANN, 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 (IJCNN, 2016)

A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. - Madson Luiz Dantas Dias; Ajalmar R. da Rocha Neto (ISDA, 2016)

A Robust and Optimally Pruned Extreme Learning Machine. - Ananda L. Freire; Ajalmar R. da Rocha Neto (ISDA, 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)

Classification with reject option for software defect prediction. - Diego P. P. Mesquita; Lincoln S. Rocha; João P. P. Gomes; Ajalmar R. da Rocha Neto (Appl. Soft Comput., 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)

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 (ICIAP Workshops, 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 (IWANN (1), 2017)

Opposite-to-Noise ARTMAP Neural Network. - Alan Matias; Ajalmar R. da Rocha Neto; Atslands Rego da Rocha (IWANN (1), 2017)

Gaussian Opposite Maps for Reduced-Set Relevance Vector Machines. - Lucas Silva de Sousa; Ajalmar Rêgo da Rocha Neto (IWANN (1), 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)

A New Genetic Algorithm-Based Pruning Approach for Optimum-Path Forest. - Gabriel Santos Barbosa; Leonardo da Silva Costa; Ajalmar Rêgo da Rocha Neto (BRACIS, 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 (BRACIS, 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 (CEC, 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 (ESANN, 2018)

Optimally Selected Minimal Learning Machine. - Átilla N. Maia; Madson Luiz Dantas Dias; João P. P. Gomes; Ajalmar R. da Rocha Neto (IDEAL (1), 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 (IJCNN, 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 (NAFIPS, 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)

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)

OnARTMAP: A Fuzzy ARTMAP-based Architecture. - Alan L. S. Matias; Ajalmar R. da Rocha Neto (Neural Networks, 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)

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 (BRACIS, 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 (ESANN, 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 (IDEAL (1), 2019)

Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach. - Pedro Hericson Machado Araújo; Ajalmar Rêgo da Rocha Neto (IWANN (2), 2019)

A Fixed-Size Pruning Approach for Optimum-Path Forest. - Leonardo da Silva Costa; Gabriel Santos Barbosa; Ajalmar Rêgo da Rocha Neto (IWANN (2), 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 (IWANN (1), 2019)

Classification with Rejection Option Using the Fuzzy ARTMAP Neural Network. - Francisco Felipe M. Sousa; Alan Lucas Silva Matias; Ajalmar Rêgo da Rocha Neto (IWANN (2), 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)

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)

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)

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 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)

A Binary Water Flow Optimizer Applied to Feature Selection. - Fagner José de Matos Macêdo; Ajalmar Rêgo da Rocha Neto (IDEAL, 2022)

Face ReID Method via Deep Learning. - Yves Augusto Lima Romero; Ajalmar Rêgo da Rocha Neto (IDEAL, 2022)

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 (BRACIS (1), 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)

A New Training Algorithm for Support Vector Machines. - Acélio Sousa; Thiago Alves Rocha; Ajalmar Rêgo da Rocha Neto (HAIS (1), 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 (IJCNN, 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)

Generalizing logic-based explanations for machine learning classifiers via optimization. - Francisco Mateus Rocha Filho; Ajalmar Rêgo da Rocha Neto; Thiago Alves Rocha (Expert Syst. Appl., 2025)