Ajalmar R. da Rocha Neto

50 papers B 9C 4Misc 2Journal 19Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural network with reject option for error correction in data packets. Appl. Soft Comput. Wellington D. de Almeida, Ajalmar R. da Rocha Neto
2025	—	`conf`	A New Approach for Obtain Reduced Sets in Least Squares Support Vector Machine: Lengthen via Levenberg-Marquardt. BRACIS (1) Felipe P. Marinho, Wellington D. de Almeida, Victor Oliveira Santos, Ajalmar R. da Rocha Neto
2025	J	`jnl`	A neural network with reject option approach for equalization and error detection. Appl. Intell. Wellington D. de Almeida, Ajalmar R. da Rocha Neto
2025	—	`conf`	Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers. IWANN (1) Felipe P. Marinho, Wellington D. de Almeida, Victor Oliveira Santos, Paulo R. B. Silva, Ajalmar R. da Rocha Neto
2024	J	`jnl`	Bayesian ART for incomplete datasets. Appl. Soft Comput. Alan L. S. Matias, João Paulo Pordeus Gomes, César Lincoln C. Mattos, Ajalmar R. da Rocha Neto, Diego Mesquita
2024	B	`conf`	Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy. IJCNN Felipe P. Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. da Rocha Neto, Victor Oliveira Santos
2023	J	`jnl`	An Outlier-Robust Growing Local Model Network for Recursive System Identification. Neural Process. Lett. Jessyca Almeida Bessa, Guilherme A. Barreto, Ajalmar R. da Rocha Neto
2021	J	`jnl`	A novel fuzzy ARTMAP with area of influence. Neurocomputing Alan L. S. Matias, Ajalmar R. da Rocha Neto, César Lincoln C. Mattos, João Paulo Pordeus 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`	On robust randomized neural networks for regression: a comprehensive review and evaluation. Neural Comput. Appl. Ananda L. Freire, Ajalmar R. da Rocha Neto, Guilherme A. Barreto
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	—	`conf`	A Novel Recommendation System for Next Feature in Software. IDEAL (1) 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
2019	J	`jnl`	An Improved Retinal Blood Vessel Detection System Using an Extreme Learning Machine. Int. J. E Health Medical Commun. Lucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira
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	—	`conf`	Pill Image Classification using Machine Learning. BRACIS Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, 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	—	`conf`	A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines. NAFIPS José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior
2018	B	`conf`	A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems. CEC Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
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`	Fixed-Size Extreme Learning Machines Through Simulated Annealing. Neural Process. Lett. Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire
2018	B	`conf`	Fuzzy ART-Based Classification via Sparse Bayesian Learning. IJCNN Alan L. S. Matias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
2018	J	`jnl`	OnARTMAP: A Fuzzy ARTMAP-based Architecture. Neural Networks Alan L. S. Matias, Ajalmar R. da Rocha Neto
2018	B	`conf`	Opposite neighborhood: a new method to select reference points of minimal learning machines. ESANN Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior
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
2018	—	`conf`	Sparse Minimal Learning Machines Via L_1/2 Norm Regularization. BRACIS Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
2017	—	`conf`	Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach. IWANN (1) Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire
2017	—	`conf`	High-Pass Learning Machine: An Edge Detection Approach. ICIAP Workshops Alan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho
2017	—	`conf`	Opposite-to-Noise ARTMAP Neural Network. IWANN (1) Alan Matias, Ajalmar R. da Rocha Neto, Atslands Rego da Rocha
2017	J	`jnl`	Training soft margin support vector machines by simulated annealing: A dual approach. Expert Syst. Appl. Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
2016	C	`conf`	A Novel Simulated Annealing-Based Learning Algorithm for Training Support Vector Machines. ISDA Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
2016	C	`conf`	A Robust and Optimally Pruned Extreme Learning Machine. ISDA Ananda L. Freire, Ajalmar R. da Rocha Neto
2016	J	`jnl`	A new pruning method for extreme learning machines via genetic algorithms. Appl. Soft Comput. Alisson S. C. Alencar, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
2016	J	`jnl`	A novel Genetic Algorithms and SURF-Based approach for image retargeting. Expert Syst. Appl. Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Francisco Nivando Bezerra
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	—	`conf`	Efficient Minimal Learning Machines with Reject Option. BRACIS Adonias Caetano de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza
2016	B	`conf`	Evolutionary support vector machines: A dual approach. CEC Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
2016	B	`conf`	Sparse Least Squares Support Vector Machines via Multiresponse Sparse Regression. ESANN David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues
2016	B	`conf`	Sparse Least squares support vector regression via Multiresponse Sparse Regression. IJCNN David Clifte da S. Vieira, Ajalmar R. da Rocha Neto, Antonio Wendell De Oliveira Rodrigues
2016	—	`conf`	Towards Fixation Prediction: A Nonparametric Estimation-Based Approach through Key-Points. BRACIS Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes
2015	—	`conf`	A Cost Sensitive Minimal Learning Machine for Pattern Classification. ICONIP (1) João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto
2015	Misc	`conf`	Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting. IbPRIA Saulo A. F. Oliveira, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto
2015	J	`jnl`	Robust classification with reject option using the self-organizing map. Neural Comput. Appl. Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto
2014	C	`conf`	Classification with Reject Option Using the Self-Organizing Map. ICANN Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto
2014	B	`conf`	reject option paradigm for the reduction of support vectors. ESANN Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra
2013	J	`jnl`	Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. Neural Process. Lett. Ajalmar R. da Rocha Neto, Guilherme A. Barreto
2012	C	`conf`	Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
2012	—	`conf`	Opposite Maps for Hard Margin Support Vector Machines. WSOM Ajalmar R. da Rocha Neto, Guilherme A. Barreto
2011	—	`conf`	A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. IWANN (1) Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
2011	Misc	`conf`	Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso