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Ricardo B. C. Prudêncio
Ricardo Bastos Cavalcante Prudêncio
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- affiliation: Federal University of Pernambuco, Recife, Brazil
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2020 – today
- 2024
- [j31]Ana Carolina Lorena
, Pedro Yuri Arbs Paiva
Trusting My Predictions: On the Value of Instance-Level Analysis. ACM Comput. Surv. 56(7): 167:1-167:28 (2024) - [c83]Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio:
Meta-Learning and Novelty Detection for Machine Learning with Reject Option. IJCNN 2024: 1-8 - [c82]Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudêncio, Ana Carolina Lorena:
Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines. IJCNN 2024: 1-8 - [c81]Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano:
Assessor Models for Explaining Instance Hardness in Classification Problems. IJCNN 2024: 1-8 - 2023
- [c80]Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota:
Assessor Models with a Reject Option for Soccer Result Prediction. ICMLA 2023: 1200-1205 - [c79]Lidia Perside Gomes Nascimento
Machine Learning Techniques for Escaped Defect Analysis in Software Testing. SAST 2023: 47-53 - [i7]Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrasio A. Lima Neto, Ricardo B. C. Prudêncio:
β4-IRT: A New β3-IRT with Enhanced Discrimination Estimation. CoRR abs/2303.17731 (2023) - 2022
- [j30]Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the noise at random model with ensemble filters. Intell. Data Anal. 26(5): 1119-1138 (2022) - [j29]João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio:
Evaluating regression algorithms at the instance level using item response theory. Knowl. Based Syst. 240: 108076 (2022) - [j28]Chaina Santos Oliveira
A two-level Item Response Theory model to evaluate speech synthesis and recognition. Speech Commun. 137: 19-34 (2022) - [c78]Lucas Felipe Ferraro Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Explanation-by-Example Based on Item Response Theory. BRACIS (1) 2022: 283-297 - [c77]Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho:
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. BRACIS (1) 2022: 550-564 - [c76]Thiago B. R. Silva, Nina I. Verslype, André C. A. Nascimento, Ricardo B. C. Prudêncio:
Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering. BRACIS (1) 2022: 611-625 - [c75]Chaina Oliveira, Ricardo B. C. Prudêncio:
Item Response Theory to Evaluate Speech Synthesis: Beyond Synthetic Speech Difficulty. EBeM@IJCAI 2022 - [c74]Patrícia Drapal, Jullya Clemente, Dailys Maite Aliaga Reyes, Starch Melo de Souza, Anthony Lins, Ricardo B. C. Prudêncio:
A Clustering-Based Method to Anomaly Detection in Thermal Power Plants. IJCNN 2022: 1-7 - [i6]Lucas Felipe Ferraro Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Explanation-by-Example Based on Item Response Theory. CoRR abs/2210.01638 (2022) - 2021
- [j27]Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento
ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. 180: 115053 (2021) - [c73]Mailton Carvalho, Flávia A. Barros, Ricardo B. C. Prudêncio:
A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment. SBES 2021: 21-26 - [i5]Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Data vs classifiers, who wins? CoRR abs/2107.07451 (2021) - [i4]Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares:
Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR abs/2109.13745 (2021) - [i3]Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the Noise at Random model with ensemble filters. CoRR abs/2112.01617 (2021) - 2020
- [j26]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
A novel context-free grammar for the generation of PSO algorithms. Nat. Comput. 19(3): 495-513 (2020) - [c72]Lucas Felipe Ferraro Cardoso
Decoding Machine Learning Benchmarks. BRACIS (2) 2020: 412-425 - [c71]José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena:
Measuring Instance Hardness Using Data Complexity Measures. BRACIS (2) 2020: 483-497 - [c70]Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento:
A Many-Objective optimization Approach for Complexity-based Data set Generation. CEC 2020: 1-8 - [c69]Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio:
Item Response Theory to Estimate the Latent Ability of Speech Synthesizers. ECAI 2020: 1874-1880 - [c68]João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho:
Item Response Theory for Evaluating Regression Algorithms. IJCNN 2020: 1-8 - [c67]Regina R. Parente, Ricardo B. C. Prudêncio:
One-Class Classification for Selecting Synthetic Datasets in Meta-Learning. IJCNN 2020: 1-8 - [i2]Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Decoding machine learning benchmarks. CoRR abs/2007.14870 (2020)
2010 – 2019
- 2019
- [j25]Fernando Martínez-Plumed
Item response theory in AI: Analysing machine learning classifiers at the instance level. Artif. Intell. 271: 18-42 (2019) - [j24]Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz:
CD-CARS: Cross-domain context-aware recommender systems. Expert Syst. Appl. 135: 388-409 (2019) - [j23]Davi Pereira dos Santos
Empirical investigation of active learning strategies. Neurocomputing 326-327: 15-27 (2019) - [c66]Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach:
$β^3$-IRT: A New Item Response Model and its Applications. AISTATS 2019: 1013-1021 - [c65]Tarcísio Lucas
A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS 2019: 371-376 - [c64]Ricardo B. C. Prudêncio:
Cost Sensitive Evaluation of Instance Hardness in Machine Learning. ECML/PKDD (2) 2019: 86-102 - [i1]Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe
β3-IRT: A New Item Response Model and its Applications. CoRR abs/1903.04016 (2019) - 2018
- [j22]Ana Carolina Lorena
Data complexity meta-features for regression problems. Mach. Learn. 107(1): 209-246 (2018) - [j21]João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento:
Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks. New Gener. Comput. 36(1): 59-89 (2018) - [c63]Miguel Domingos de Santana Wanderley, Ricardo Bastos Cavalcante Prudêncio:
Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning. BRACIS 2018: 103-108 - [c62]Kecia Gomes de Moura, Ricardo Bastos Cavalcante Prudêncio, George Darmiton da Cunha Cavalcanti:
Ensemble Methods for Label Noise Detection Under the Noisy at Random Model. BRACIS 2018: 474-479 - [c61]Alysson Bispo, Ricardo B. C. Prudêncio, Douglas Veras da Silva:
Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction. BRACIS 2018: 552-557 - [c60]Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio:
Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors. IJCNN 2018: 1-7 - [c59]Ivan Santos, Joelson Araújo, Cloves Lima, Ricardo B. C. Prudêncio, Flávia A. Barros:
AVS: An approach to identifying and mitigating duplicate bug reports. SBSI 2018: 22:1-22:7 - 2017
- [j20]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming. Appl. Soft Comput. 60: 281-296 (2017) - [j19]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa:
H3AD: A hybrid hyper-heuristic for algorithm design. Inf. Sci. 414: 340-354 (2017) - [c58]Diana C. Cavalcanti, Ricardo B. C. Prudêncio:
Aspect-Based Opinion Mining in Drug Reviews. EPIA 2017: 815-827 - [c57]Diana C. Cavalcanti, Ricardo B. C. Prudêncio:
Unsupervised Aspect Term Extraction in Online Drugs Reviews. FLAIRS 2017: 38-43 - 2016
- [j18]José Hernández-Orallo, Adolfo Martínez Usó
Reframing in context: A systematic approach for model reuse in machine learning. AI Commun. 29(5): 551-566 (2016) - [j17]André C. A. Nascimento
A multiple kernel learning algorithm for drug-target interaction prediction. BMC Bioinform. 17: 46 (2016) - [j16]Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir:
Progress in intelligent systems design. Neurocomputing 180: 1-2 (2016) - [j15]Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares
Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing 194: 45-55 (2016) - [j14]Telmo de Menezes e Silva Filho, Renata M. C. R. Souza
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks 80: 19-33 (2016) - [c56]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms. BRACIS 2016: 25-30 - [c55]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms. BRACIS 2016: 295-300 - [c54]João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento:
A Comparative Study of Group Profiling Techniques in Co-authorship Networks. BRACIS 2016: 373-378 - [c53]Fernando Martínez-Plumed
Making Sense of Item Response Theory in Machine Learning. ECAI 2016: 1140-1148 - 2015
- [j13]Douglas Veras da Silva, Thiago Monteiro Prota, Alysson Bispo, Ricardo B. C. Prudêncio, Carlos Ferraz:
A literature review of recommender systems in the television domain. Expert Syst. Appl. 42(22): 9046-9076 (2015) - [j12]Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia A. Barros:
A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection. J. Braz. Comput. Soc. 21(1): 19:1-19:20 (2015) - [c52]Danilo C. G. de Lucena, Ricardo B. C. Prudêncio:
Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms. BRACIS 2015: 49-54 - [c51]Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz, Alysson Bispo, Thiago Monteiro Prota:
Context-Aware Techniques for Cross-Domain Recommender Systems. BRACIS 2015: 282-287 - [c50]Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio:
I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem. ESANN 2015 - [c49]Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio:
GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution. GECCO 2015: 1087-1094 - [c48]Reem Al-Otaibi
Versatile Decision Trees for Learning Over Multiple Contexts. ECML/PKDD (1) 2015: 184-199 - 2014
- [j11]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing 143: 27-43 (2014) - [c47]Carlos Eduardo Castor de Melo, Ricardo Bastos Cavalcante Prudêncio:
Cost-Sensitive Measures of Algorithm Similarity for Meta-learning. BRACIS 2014: 7-12 - [c46]Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros:
A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection. BRACIS 2014: 414-419 - [c45]Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros:
A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection. IEEE Congress on Evolutionary Computation 2014: 2164-2171 - [c44]Carlos Eduardo Castor de Melo, Ricardo B. C. Prudêncio:
Similarity Measures of Algorithm Performance for Cost-Sensitive Scenarios. MetaSel@ECAI 2014: 11-17 - [c43]Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio:
Fine-tuning of support vector machine parameters using racing algorithms. ESANN 2014 - [c42]Andre R. S. Lopes, Ricardo B. C. Prudêncio, Byron L. D. Bezerra
A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria. IJCNN 2014: 2887-2893 - 2013
- [j10]Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros, Eduardo Henrique da Silva Aranha:
Search based constrained test case selection using execution effort. Expert Syst. Appl. 40(12): 4887-4896 (2013) - [j9]Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio:
Proximity measures for link prediction based on temporal events. Expert Syst. Appl. 40(16): 6652-6660 (2013) - [c41]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Active testing for SVM parameter selection. IJCNN 2013: 1-8 - [c40]Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares
Active selection of training instances for a random forest meta-learner. IJCNN 2013: 1-7 - [c39]João Gomes, Ricardo B. C. Prudêncio, Luciano Meira, Alexandre Azevedo Filho, André C. A. Nascimento, Hilário Oliveira:
Group Profiling for Understanding Educational Social Networking. SEKE 2013: 101-106 - 2012
- [j8]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares
Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75(1): 3-13 (2012) - [j7]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. 196: 1-14 (2012) - [c38]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. ICCSA (3) 2012: 562-575 - [c37]Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros:
Collective Classification for Sentiment Analysis in Social Networks. ICTAI 2012: 958-963 - [c36]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho
Multi-objective optimization and Meta-learning for SVM parameter selection. IJCNN 2012: 1-8 - [c35]Paulo Ricardo da Silva Soares
Time Series Based Link Prediction. IJCNN 2012: 1-7 - [c34]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN 2012: 1-6 - [c33]Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia de Almeida Barros:
Using link structure to infer opinions in social networks. SMC 2012: 681-685 - [c32]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. SMC 2012: 2909-2914 - [c31]Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros:
Leveraging relationships in social networks for sentiment analysis. WebMedia 2012: 181-188 - 2011
- [j6]Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin:
Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. 8(3): 115-116 (2011) - [c30]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares
Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) 2011: 164-171 - [c29]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) 2011: 454-461 - [c28]Diana C. Cavalcanti, Ricardo Bastos Cavalcante Prudêncio, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon:
Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact. ICTAI 2011: 156-162 - [c27]Luciano S. de Souza, Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros:
A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort. ICTAI 2011: 245-252 - [c26]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares
Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN 2011: 1082-1089 - [c25]Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio:
Supervised link prediction in weighted networks. IJCNN 2011: 2281-2288 - [p1]Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir:
Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. Meta-Learning in Computational Intelligence 2011: 225-243 - 2010
- [j5]Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi
Randomized constraint solvers: a comparative study. Innov. Syst. Softw. Eng. 6(3): 243-253 (2010) - [c24]Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio:
Local Feature Selection for Generation of Ensembles in Text Clustering. SBRN 2010: 67-72 - [c23]Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares
Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN 2010: 79-84 - [c22]Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros:
A Constrained Particle Swarm Optimization Approach for Test Case Selection. SEKE 2010: 259-264
2000 – 2009
- 2009
- [j4]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. Int. J. Artif. Intell. Tools 18(2): 311-329 (2009) - [c21]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 - [c20]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Generation of Training Examples in Meta-Regression. ICANN (1) 2009: 30-39 - [c19]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA 2009: 220-225 - [c18]Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio:
A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing. NASA Formal Methods 2009: 56-65 - 2008
- [j3]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) - [c17]Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento
Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts. HIS 2008: 417-422 - [c16]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 - [c15]Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio:
Local Feature Selection in Text Clustering. ICONIP (2) 2008: 45-52 - [c14]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351 - [c13]Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735 - [c12]Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho
Automatic Information Extraction in Semi-structured Official Journals. SBRN 2008: 51-56 - [c11]Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio:
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170 - [c10]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 - 2007
- [c9]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131 - [c8]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826 - 2006
- [c7]Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio:
A Hybrid Machine Learning Approach for Information Extraction. HIS 2006: 44 - [c6]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283 - [c5]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
LearningWeights for Linear Combination of Forecasting Methods. SBRN 2006: 113-118 - 2004
- [j2]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004) - [j1]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
A Modal Symbolic Classifier for selecting time series models. Pattern Recognit. Lett. 25(8): 911-921 (2004) - [c4]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127 - [c3]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 - 2003
- [c2]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN 2003: 654-661 - 2002
- [c1]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Selection of Models for Time Series Prediction via Meta-Learning. HIS 2002: 74-83
Coauthor Index
Flávia de Almeida Barros
aka: Flávia A. Barros
aka: Flávia A. Barros
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Péricles B. C. de Miranda
aka: Péricles Barbosa C. de Miranda
aka: Péricles Barbosa C. de Miranda
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last updated on 2024-10-07 21:17 CEST by the dblp team
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