Ricardo Bastos Cavalcante Prudêncio

	2009
22		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Generation of Training Examples in Meta-Regression. ICANN (1) 2009: 30-39
21		André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa: Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. ICANN (2) 2009: 20-29
20		Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento: Combining Text Classifiers and Hidden Markov Models for Information Extraction. International Journal on Artificial Intelligence Tools 18(2): 311-329 (2009)
	2008
19		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
18		Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio: Local Feature Selection in Text Clustering. ICONIP (2) 2008: 45-52
17		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351
16		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
15		Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170
14		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
13		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
12		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
11		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131
10		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826
	2006
9		Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio: A Hybrid Machine Learning Approach for Information Extraction. HIS 2006: 44
8		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283
7		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: LearningWeights for Linear Combination of Forecasting Methods. SBRN 2006: 113-118
	2004
6		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127
5		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		Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004)
3		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		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	[16]
2	Flávia de Almeida Barros (Flávia A. Barros)	[9] [20]
3	Francisco de A. T. de Carvalho	[3] [13]
4	Ivan G. Costa	[16] [21]
5	Valmir M. Filho	[20]
6	Valmir Macário Filho	[13]
7	Silvio B. Guerra	[14] [19]
8	Marcos G. Lima	[13]
9	Teresa Bernarda Ludermir	[1] [2] [3] [4] [5] [6] [7] [8] [10] [11] [12] [14] [15] [16] [17] [19] [22]
10	André C. A. Nascimento	[20] [21]
11	Manoel J. R. Neto	[18]
12	Marcelo N. Ribeiro	[18]
13	Laerte Rodrigues Jr.	[13]
14	Patrícia M. Santos	[15]
15	Patrícia Maforte dos Santos	[5]
16	Alexander Schliep	[16]
17	Eduardo F. A. Silva	[9] [20]
18	Rodrigo G. F. Soares	[16]
19	Marcílio Carlos Pereira de Souto	[16] [21]
20	Leandro R. Torres	[13]

Colors in the list of coauthors