default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAjalmar R. da Rocha Neto
Person information
- affiliation: Federal Institute of Ceará, Maracanaú, Ceará, Brazil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j19]Alan L. S. Matias, João Paulo Pordeus Gomes
, César Lincoln C. Mattos, Ajalmar R. da Rocha Neto, Diego Mesquita:
Bayesian ART for incomplete datasets. Appl. Soft Comput. 163: 111865 (2024)- [c40]Acélio Sousa, Thiago Alves Rocha, Ajalmar Rêgo da Rocha Neto:
A New Training Algorithm for Support Vector Machines. HAIS (1) 2024: 190-201 - [c39]Felipe P. Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. da Rocha Neto, Victor Oliveira Santos:
Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy. IJCNN 2024: 1-9 - [i1]Francisco Mateus Rocha Filho, Thiago Alves Rocha, Reginaldo Pereira Fernandes Ribeiro, Ajalmar Rêgo da Rocha Neto:
Logic-based Explanations for Linear Support Vector Classifiers with Reject Option. CoRR abs/2403.16190 (2024) - 2023
- [j18]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): 4257-4289 (2023) - [c38]Francisco Mateus Rocha, Thiago Alves Rocha, Reginaldo Pereira Fernandes Ribeiro, Ajalmar Rêgo da Rocha Neto:
Logic-Based Explanations for Linear Support Vector Classifiers with Reject Option. BRACIS (1) 2023: 144-159 - 2022
- [c37]Fagner José de Matos Macêdo, Ajalmar Rêgo da Rocha Neto:
A Binary Water Flow Optimizer Applied to Feature Selection. IDEAL 2022: 94-103 - [c36]Yves Augusto Lima Romero, Ajalmar Rêgo da Rocha Neto:
Face ReID Method via Deep Learning. IDEAL 2022: 369-378 - 2021
- [j17]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: 80-90 (2021) - 2020
- [j16]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): 2050023:1-2050023:17 (2020) - [j15]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: 308-319 (2020) - [j14]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): 16931-16950 (2020)
2010 – 2019
- 2019
- [j13]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): 39-55 (2019) - [c35]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: 556-561 - [c34]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 - [c33]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: 494-501 - [c32]Pedro Hericson Machado Araújo, Ajalmar Rêgo da Rocha Neto:
Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach. IWANN (2) 2019: 500-511 - [c31]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: 557-568 - [c30]Francisco Felipe M. Sousa, Alan Lucas Silva Matias, Ajalmar Rêgo da Rocha Neto:
Classification with Rejection Option Using the Fuzzy ARTMAP Neural Network. IWANN (2) 2019: 568-578 - [c29]Leonardo da Silva Costa, Gabriel Santos Barbosa, Ajalmar Rêgo da Rocha Neto:
A Fixed-Size Pruning Approach for Optimum-Path Forest. IWANN (2) 2019: 723-734 - 2018
- [j12]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: 172-181 (2018) - [j11]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: 308-320 (2018) - [j10]Alan L. S. Matias, Ajalmar R. da Rocha Neto:
OnARTMAP: A Fuzzy ARTMAP-based Architecture. Neural Networks 98: 236-250 (2018) - [j9]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): 135-151 (2018) - [c28]Gabriel Santos Barbosa, Leonardo da Silva Costa, Ajalmar Rêgo da Rocha Neto:
A New Genetic Algorithm-Based Pruning Approach for Optimum-Path Forest. BRACIS 2018: 13-18 - [c27]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: 206-211 - [c26]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: 1-7 - [c25]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 - [c24]Átilla N. Maia, Madson Luiz Dantas Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto:
Optimally Selected Minimal Learning Machine. IDEAL (1) 2018: 670-678 - [c23]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: 1-7 - [c22]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: 398-407 - 2017
- [j8]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: 157-169 (2017) - [c21]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: 48-59 - [c20]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: 85-97 - [c19]Lucas Silva de Sousa, Ajalmar Rêgo da Rocha Neto:
Gaussian Opposite Maps for Reduced-Set Relevance Vector Machines. IWANN (1) 2017: 458-468 - [c18]Alan Matias, Ajalmar R. da Rocha Neto, Atslands Rego da Rocha:
Opposite-to-Noise ARTMAP Neural Network. IWANN (1) 2017: 507-519 - 2016
- [j7]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: 101-107 (2016) - [j6]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: 1085-1093 (2016) - [j5]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: 332-343 (2016) - [c17]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: 391-396 - [c16]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: 397-402 - [c15]Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto:
Evolutionary support vector machines: A dual approach. CEC 2016: 2185-2192 - [c14]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 - [c13]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: 3218-3225 - [c12]Ananda L. Freire, Ajalmar R. da Rocha Neto:
A Robust and Optimally Pruned Extreme Learning Machine. ISDA 2016: 88-98 - [c11]Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto:
A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. ISDA 2016: 341-351 - 2015
- [j4]Jessyca Almeida Bessa, Paulo César Cortez, John Hebert da Silva Felix, Ajalmar Rêgo da Rocha Neto, Auzuir Ripardo de Alexandria:
Radial snakes: Comparison of segmentation methods in synthetic noisy images. Expert Syst. Appl. 42(6): 3079-3088 (2015) - [j3]Danilo Avilar Silva, Juliana Peixoto Silva, Ajalmar Rêgo Rocha Neto:
Novel approaches using evolutionary computation for sparse least square support vector machines. Neurocomputing 168: 908-916 (2015) - [j2]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): 1603-1619 (2015) - [c10]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: 700-707 - [c9]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: 557-564 - [c8]Danilo Avilar Silva, Ajalmar Rêgo Rocha Neto:
A Genetic Algorithms-Based LSSVM Classifier for Fixed-Size Set of Support Vectors. IWANN (2) 2015: 127-141 - 2014
- [c7]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 - [c6]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: 105-112 - [c5]Danilo Avilar Silva, Ajalmar Rêgo Rocha Neto:
Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines. IDEAL 2014: 158-166 - 2013
- [j1]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): 3-19 (2013) - 2012
- [c4]Ajalmar R. da Rocha Neto, Guilherme De A. Barreto:
Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL 2012: 725-732 - [c3]Ajalmar R. da Rocha Neto, Guilherme A. Barreto:
Opposite Maps for Hard Margin Support Vector Machines. WSOM 2012: 65-74 - 2011
- [c2]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: 588-595 - [c1]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: 97-104 - [d1]Guilherme De A. Barreto, Ajalmar R. da Rocha Neto:
Vertebral Column. UCI Machine Learning Repository, 2011
Coauthor Index
aka: Guilherme A. Barreto
aka: Madson Luiz Dantas Dias
aka: João P. P. Gomes
aka: Amauri H. de Souza
aka: Amauri Holanda de Souza Júnior
aka: Amauri H. Souza Júnior
aka: Amauri H. Souza Jr.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
