dblp.uni-trier.dewww.uni-trier.de

Adriano L. I. Oliveira Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

*2009
33EEWesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira: A novel hybrid training method for hopfield neural networks applied to routing in communications networks. Int. J. Hybrid Intell. Syst. 6(1): 27-39 (2009)
2008
32EEV. M. O. Alves, Adriano L. I. Oliveira, E. R. Silva Jr., Carlos A. B. Mello: Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers. ICTAI (2) 2008: 41-44
31EERobson D. Montenegro, Adriano L. I. Oliveira, George G. Cabral, Cintia R. T. Katz, Aronita Rosenblatt: A Comparative Study of Machine Learning Techniques for Caries Prediction. ICTAI (2) 2008: 477-481
30EEMiguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato, Silvio R. L. Meira: Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. IFIP AI 2008: 119-128
29EEGeorge G. Cabral, Adriano L. I. Oliveira: A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. IFIP AI 2008: 245-254
28EECarmelo J. A. Bastos Filho, Wesnaida H. Schuler, Adriano L. I. Oliveira: A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization. IJCNN 2008: 2777-2783
27EEPetrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira: A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. SAC 2008: 1788-1792
26EELamartine A. Teixeira, Felipe T. G. Oliveira, Adriano L. I. Oliveira, Carmelo J. A. Bastos Filho: Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping. SBRN 2008: 33-38
25 Carlos A. B. Mello, Adriano L. I. Oliveira, Ángel Sánchez: Historical Document Image Binarization. VISAPP (1) 2008: 108-113
24EEAdriano L. I. Oliveira, Flavio R. G. Costa, Clovis O. S. Filho: Novelty detection with constructive probabilistic neural networks. Neurocomputing 71(4-6): 1046-1053 (2008)
2007
23EECarmelo J. A. Bastos Filho, R. A. Santana, Adriano L. I. Oliveira: A Novel Approach for a Routing Algorithm Based on a Discrete Time Hopfield Neural Network. FOCI 2007: 363-369
22EEPetrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira: Software Effort Estimation using Machine Learning Techniques with Robust Confidence Intervals. HIS 2007: 352-357
21EEWesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira: A Novel Hybrid Training Method for Hopfield Neural Networks Applied to Routing in Communications Networks. HIS 2007: 36-41
20EERonaldo C. Veras, Silvio R. L. Meira, Adriano L. I. Oliveira, Bruno J. M. Melo: Comparative Study of Clustering Techniques for the Organization of Software Repositories. HIS 2007: 372-377
19EEPetrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira: Software Effort Estimation Using Machine Learning Techniques with Robust Confidence Intervals. ICTAI (1) 2007: 181-185
18EERonaldo C. Veras, Silvio R. L. Meira, Adriano L. I. Oliveira, Bruno J. M. Melo: Comparative Study of Clustering Techniques for the Organization of Software Repositories. ICTAI (1) 2007: 210-214
17EECarmelo J. A. Bastos Filho, Carlos A. B. Mello, Júlio D. Andrade, Davi M. A. Falcão, Marília P. Lima, Wellington P. dos Santos, Adriano L. I. Oliveira: Based on Color Quantization by Genetic Algorithms. ICTAI (1) 2007: 488-491
16EEPetrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira: Bagging Predictors for Estimation of Software Project Effort. IJCNN 2007: 1595-1600
15EEGeorge G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu: A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. IJCNN 2007: 1976-1981
14EEMiguel E. R. Bezerra, Adriano L. I. Oliveira, Silvio R. L. Meira: A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules. IJCNN 2007: 2869-2874
2006
13EEAdriano L. I. Oliveira, Silvio R. L. Meira: Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment. IJCNN 2006: 3188-3195
12EEAdriano L. I. Oliveira, Carlos A. B. Mello, E. R. Silva Jr., V. M. O. Alves: Optical Digit Recognition for Images of Handwritten Historical Documents. SBRN 2006: 166-171
11EEAdriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras: On the Influence of Parameter theta- on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. Int. J. Neural Syst. 16(4): 271-282 (2006)
10EEAdriano L. I. Oliveira: Estimation of software project effort with support vector regression. Neurocomputing 69(13-15): 1749-1753 (2006)
9EEAdriano L. I. Oliveira, Silvio Romero de Lemos Meira: Detecting novelties in time series through neural networks forecasting with robust confidence intervals. Neurocomputing 70(1-3): 79-92 (2006)
2005
8EEAdriano L. I. Oliveira, Carolina Baldisserotto, Julio Baldisserotto: A Comparative Study on Support Vector Machine and Constructive RBF Neural Network for Prediction of Success of Dental Implants. CIARP 2005: 1015-1026
7EEAdriano L. I. Oliveira, Ericles A. Medeiros, Thyago A. B. V. Rocha, Miguel E. R. Bezerra, Ronaldo C. Veras: A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. HIS 2005: 512-514
6EEAdriano L. I. Oliveira, Bruno J. M. Melo, Silvio Romero de Lemos Meira: Improving constructive training of RBF networks through selective pruning and model selection. Neurocomputing 64: 537-541 (2005)
2004
5 Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira: A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series. FLAIRS Conference 2004
4EEAdriano L. I. Oliveira, Bruno J. M. Melo, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira: Combining Data Reduction and Parameter Selection for Improving RBF-DDA Performance. IBERAMIA 2004: 778-787
3EEAdriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira: Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection. ICPR (4) 2004: 625-628
2EEAdriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira: Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series. MICAI 2004: 844-853
2003
1 Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira: Novelty Detection for Short Time Series with Neural Networks. HIS 2003: 66-76

Coauthor Index

1Paulo J. L. Adeodato [30]
2V. M. O. Alves [12] [32]
3Júlio D. Andrade [17]
4Carolina Baldisserotto [8]
5Julio Baldisserotto [8]
6Miguel E. R. Bezerra [7] [11] [14] [30]
7Petrônio L. Braga [16] [19] [22] [27]
8George G. Cabral [15] [29] [31]
9Carlos B. G. Cahu [15]
10Flavio R. G. Costa [24]
11Davi M. A. Falcão [17]
12Carmelo J. A. Bastos Filho [17] [21] [23] [26] [28] [33]
13Clovis O. S. Filho [24]
14Cintia R. T. Katz [31]
15Marília P. Lima [17]
16Ericles A. Medeiros [7] [11]
17Silvio Romero de Lemos Meira (Silvio R. L. Meira) [1] [2] [3] [4] [5] [6] [9] [13] [14] [16] [18] [19] [20] [22] [27] [30]
18Carlos A. B. Mello [12] [17] [25] [32]
19Bruno J. M. Melo [4] [6] [18] [20]
20Robson D. Montenegro [31]
21Fernando Buarque de Lima Neto [1] [2] [3] [4] [5]
22Felipe T. G. Oliveira [26]
23Gustavo H. T. Ribeiro [16]
24Thyago A. B. V. Rocha [7] [11]
25Aronita Rosenblatt [31]
26Ángel Sánchez [25]
27R. A. Santana [23]
28Wellington P. dos Santos [17]
29Wesnaida H. Schuler [21] [28] [33]
30E. R. Silva Jr. [12] [32]
31Lamartine A. Teixeira [26]
32Ronaldo C. Veras [7] [11] [18] [20]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)