Adriano L. I. Oliveira

	2009
33		Wesnaida 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
32		V. M. O. Alves, Adriano L. I. Oliveira, E. R. Silva Jr., Carlos A. B. Mello: Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers.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
31		Robson 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
30		Miguel 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
29		George 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
28		Carmelo 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
27		Petrônio 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
26		Lamartine 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25		Carlos A. B. Mello, Adriano L. I. Oliveira, Ángel Sánchez: Historical Document Image Binarization.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
24		Adriano 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
23		Carmelo 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
22		Petrônio 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
21		Wesnaida 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
20		Ronaldo 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
19		Petrônio 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
18		Ronaldo 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
17		Carmelo 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
16		Petrônio 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
15		George 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
14		Miguel 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
13		Adriano L. I. Oliveira, Silvio R. L. Meira: Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment. IJCNN 2006: 3188-3195
12		Adriano 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
11		Adriano 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)
10		Adriano L. I. Oliveira: Estimation of software project effort with support vector regression. Neurocomputing 69(13-15): 1749-1753 (2006)
9		Adriano 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
8		Adriano 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
7		Adriano 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
6		Adriano 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
4		Adriano 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
3		Adriano 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
2		Adriano 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

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

Colors in the list of coauthors