Ricardo Bastos Cavalcante Prudêncio

2008
17	EE	Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. ICANN (1) 2008: 523-532
16	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351
15	EE	Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep: Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735
14	EE	Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170
13	EE	Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir: Using Support Vector Machines to Predict the Performance of MLP Neural Networks. SBRN 2008: 201-206
12	EE	Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima: Automatic Information Extraction in Semi-structured Official Journals. SBRN 2008: 51-56
11	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selective generation of training examples in active meta-learning. Int. J. Hybrid Intell. Syst. 5(2): 59-70 (2008)
2007
10	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131
9	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826
2006
8	EE	Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio: A Hybrid Machine Learning Approach for Information Extraction. HIS 2006: 44
7	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283
2004
6	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127
5	EE	Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selection of Time Series Forecasting Models based on Performance Information. HIS 2004: 366-371
4	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004)
3	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: A Modal Symbolic Classifier for selecting time series models. Pattern Recognition Letters 25(8): 911-921 (2004)
2003
2	EE	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN 2003: 654-661
2002
1		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selection of Models for Time Series Prediction via Meta-Learning. HIS 2002: 74-83

Coauthor Index

1	Daniel S. A. de Araujo	[15]
2	Flávia de Almeida Barros (Flávia A. Barros)	[8]
3	Francisco de A. T. de Carvalho	[3] [12]
4	Ivan G. Costa	[15]
5	Valmir Macário Filho	[12]
6	Silvio B. Guerra	[13] [17]
7	Marcos G. Lima	[12]
8	Teresa Bernarda Ludermir	[1] [2] [3] [4] [5] [6] [7] [9] [10] [11] [13] [14] [15] [16] [17]
9	Laerte Rodrigues Jr.	[12]
10	Patrícia M. Santos	[14]
11	Patrícia Maforte dos Santos	[5]
12	Alexander Schliep	[15]
13	Eduardo F. A. Silva	[8]
14	Rodrigo G. F. Soares	[15]
15	Marcílio Carlos Pereira de Souto	[15]
16	Leandro R. Torres	[12]

Colors in the list of coauthors