Ajalmar R. da Rocha Neto

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 37

Top Topics

Extreme Learning Machine

Sparse Regression

Reference Points

Top Venues

Neural Process. Lett.

Publications

Jessyca Almeida Bessa, Guilherme A. Barreto, Ajalmar R. da Rocha Neto
An Outlier-Robust Growing Local Model Network for Recursive System Identification. Neural Process. Lett. 55 (4) (2023)
Alan L. S. Matias, Ajalmar R. da Rocha Neto, César Lincoln C. Mattos, João Paulo Pordeus Gomes
A novel fuzzy ARTMAP with area of influence. Neurocomputing 432 (2021)
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)
Ananda L. Freire, Ajalmar R. da Rocha Neto, Guilherme A. Barreto
On robust randomized neural networks for regression: a comprehensive review and evaluation. Neural Comput. Appl. 32 (22) (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)
Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto
Pill Image Classification using Machine Learning. BRACIS (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)
Lucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira
An Improved Retinal Blood Vessel Detection System Using an Extreme Learning Machine. Int. J. E Health Medical Commun. 10 (3) (2019)
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
A Novel Recommendation System for Next Feature in Software. IDEAL (1) (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)
Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire
Fixed-Size Extreme Learning Machines Through Simulated Annealing. Neural Process. Lett. 48 (1) (2018)
Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior
Opposite neighborhood: a new method to select reference points of minimal learning machines. ESANN (2018)
José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior
A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines. NAFIPS (2018)
Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Sparse Minimal Learning Machines Via L_1/2 Norm Regularization. BRACIS (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)
Alan L. S. Matias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Fuzzy ART-Based Classification via Sparse Bayesian Learning. IJCNN (2018)
Alan L. S. Matias, Ajalmar R. da Rocha Neto
OnARTMAP: A Fuzzy ARTMAP-based Architecture. Neural Networks 98 (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)
Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems. CEC (2018)
Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
Training soft margin support vector machines by simulated annealing: A dual approach. Expert Syst. Appl. 87 (2017)
Alan Matias, Ajalmar R. da Rocha Neto, Atslands Rego da Rocha
Opposite-to-Noise ARTMAP Neural Network. IWANN (1) (2017)
Alan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho
High-Pass Learning Machine: An Edge Detection Approach. ICIAP Workshops (2017)
Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire
Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach. IWANN (1) (2017)
Ananda L. Freire, Ajalmar R. da Rocha Neto
A Robust and Optimally Pruned Extreme Learning Machine. ISDA (2016)
Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
Towards Fixation Prediction: A Nonparametric Estimation-Based Approach through Key-Points. BRACIS (2016)
Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
Evolutionary support vector machines: A dual approach. CEC (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)
Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. ISDA (2016)
David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues
Sparse Least squares support vector regression via Multiresponse Sparse Regression. IJCNN (2016)
Alisson S. C. Alencar, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
A new pruning method for extreme learning machines via genetic algorithms. Appl. Soft Comput. 44 (2016)
Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Francisco Nivando Bezerra
A novel Genetic Algorithms and SURF-Based approach for image retargeting. Expert Syst. Appl. 44 (2016)
Adonias C. de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
Efficient Minimal Learning Machines with Reject Option. BRACIS (2016)
David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues
Sparse Least Squares Support Vector Machines via Multiresponse Sparse Regression. ESANN (2016)
João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto
A Cost Sensitive Minimal Learning Machine for Pattern Classification. ICONIP (1) (2015)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto
Robust classification with reject option using the self-organizing map. Neural Comput. Appl. 26 (7) (2015)
Saulo A. F. Oliveira, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto
Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting. IbPRIA (2015)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto
Classification with Reject Option Using the Self-Organizing Map. ICANN (2014)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra
reject option paradigm for the reduction of support vectors. ESANN (2014)
Ajalmar R. da Rocha Neto, Guilherme A. Barreto
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. Neural Process. Lett. 37 (1) (2013)
Ajalmar R. da Rocha Neto, Guilherme A. Barreto
Opposite Maps for Hard Margin Support Vector Machines. WSOM (2012)
Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL (2012)
Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso
Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA (2011)
Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. IWANN (1) (2011)