2023
ARAUJO, GUILHERME JOSÉ FERREIRA DE; GOMES, A. S.
2023
ARAUJO, GUILHERME JOSÉ FERREIRA DE; GOMES, A. S.
2023
ARAUJO, GUILHERME JOSÉ FERREIRA DE; GOMES, A. S.
2023
ARAUJO, GUILHERME JOSÉ FERREIRA DE; GOMES, A. S.
2023
ARAUJO, GUILHERME JOSÉ FERREIRA DE; GOMES, A. S.

Publicações

2026

Online Classification of Software Change Requests in a Data Stream Environment

LINS, RENATA F.; BARROS, FLAVIA A.; PRUDÊNCIO, RICARDO B. C.
[SAC] SAC '26: 41st ACM/SIGAPP Symposium on Applied Computing
2026

Enhancing classifier evaluation: A difficulty-aware benchmarking strategy based on ability and robustness

CARDOSO, LUCAS FELIPE FERRARO; SANTOS, VITOR CIRILO ARAUJO; RIBEIRO FILHO, JOSÉ DE SOUSA; KAWASAKI FRANCÊS, REGIANE SILVA; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; ALVES, RONNIE CLEY DE OLIVEIRA
INFORMATION SCIENCES
2026

FairDIF: debiasing classifiers with item response theory and differential item functioning

MINATEL, DIEGO; PARMEZAN, ANTONIO R. S.; DOS SANTOS, NÍCOLAS ROQUE; CÚRI, MARIANA; PRUDÊNCIO, RICARDO B. C.; DE ANDRADE LOPES, ALNEU
AI and Ethics
2025

Novel applications of item response theory for analysing data set complexity and benchmark selection

PEREIRA, JOÃO LUIZ JUNHO; EXPOSITO DE QUEIROZ, ALFREDO ANTONIO ALENCAR; SILVA FILHO, TELMO DE MENEZES E; LORENA, ANA CAROLINA; MANTOVANI, RAFAEL GOMES; PAPPA, GISELE LOBO; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE
MACHINE LEARNING
2025

Exploring the Relation between Dataset Complexity and AutoML Fitness Landscape Metrics

FRANCA, T.; PRUDENCIO, RICARDO; MIRANDA, P.
[IJCNN] 2025 International Joint Conference on Neural Networks (IJCNN)
2025

An item response theory framework to evaluate automatic speech recognition systems against speech difficulty

OLIVEIRA, CHAINA; PRUDÊNCIO, RICARDO B.C.
COMPUTER SPEECH AND LANGUAGE
2025

Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory

CARDOSO, LUCAS; SANTOS, VITOR; PRUDÊNCIO, RICARDO; RIBEIRO, JOSÉ; KAWASAKI, REGIANE; ALVES, RONNIE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2025

Active semi-supervised learning for multi-target regression

LIRA, MAIRA FARIAS ANDRADE; CAVALCANTE, LUISA; VENS, CELINE; PRUDENCIO, RICARDO; NAKANO, FELIPE KENJI
[IJCNN] 2025 International Joint Conference on Neural Networks (IJCNN)
2025

CLAIRE: clustering evaluation based on item response theory and model agreement

FERREIRA-JUNIOR, MANUEL; LIMA NETO, EUFRASIO A.; FERREIRA, MARCELO R. P.; SILVA FILHO, TELMO M.; PRUDÊNCIO, RICARDO B. C.
MACHINE LEARNING
2024

Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder

LIRA, MAIRA FARIAS ANDRADE; SIQUEIRA-FILHO, ELIAS AMANCIO; PRUDENCIO, RICARDO
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Explainable Machine Learning Techniques for Criticality Prediction of Software Change Requests

SANTOS, AMANDA Q. R. DOS; SILVA, JOSÉ R. DA; LINS, RENATA F.; PRUDENCIO, RICARDO B. C.
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2024

Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines

FERREIRA, EDUARDO VARGAS; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; LORENA, ANA CAROLINA
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Assessor Models for Explaining Instance Hardness in Classification Problems

PRUDÊNCIO, RICARDO B. C.; LORENA, ANA C.; SILVA-FILHO, TELMO; DRAPAL, PATRICIA; VALERIANO, MARIA GABRIELA
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Towards explainable evaluation: Explaining predicted performance using local performance regions

DRAPAL, PATRICIA; PRUDÊNCIO, RICARDO B.C.; FILHO, TELMO M. SILVA
APPLIED SOFT COMPUTING
2024

Meta-Learning and Novelty Detection for Machine Learning with Reject Option

DRAPAL, PATRICIA; SILVA-FILHO, TELMO; PRUDÊNCIO, RICARDO B. C.
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Assessor Models for Predicting and Explaining Aleatoric Uncertainty in Classification

LIMA, PEDRO B. S.; PRUDÊNCIO, RICARDO B. C.; LORENA, ANA CAROLINA; VALERIANO, MARIA GABRIELA
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2023

A Novel Remaining Useful Estimation Model to Assist Asset Renewal Decisions Applied to the Brazilian Electric Sector

SANTIAGO, HEMIR DA CUNHA; CAVALCANTI, JOSÉ CARLOS DA SILVA; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; MOHAMED, MOHAMED A.; SARUBBO, LEONIE ASFORA; CONVERTI, ATTILIO; MARINHO, MANOEL HENRIQUE DA NÓBREGA
Energies
2023

Trusting my predictions: on the value of Instance-Level analysis

LORENA, ANA C.; PAIVA, PEDRO Y. A.; PRUDÊNCIO, RICARDO B. C.
ACM COMPUTING SURVEYS
2023

Decision Threshold Selection and Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder

LIRA, MAIRA FARIAS ANDRADE; SIQUEIRA-FILHO, ELIAS AMANCIO; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2023

Machine Learning Techniques for Escaped Defect Analysis in Software Testing

NASCIMENTO, LIDIA PERSIDE GOMES; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; MOTA, ALEXANDRE CABRAL; FILHO, AUDIR DE ARAUJO PAIVA; CRUZ, PEDRO HENRIQUE ALVES; OLIVEIRA, DANIEL CARDOSO COELHO ALVES DE; MOREIRA, PEDRO RONCOLI SARMET
[SAST] SAST 2023: 8th Brazilian Symposium on Systematic and Automated Software Testing
2023

Assessor Models with Reject Option for soccer result prediction

DA COSTA, DANIEL C.; PRUDÊNCIO, RICARDO; MOTA, ALEXADRE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2022

Automatic Classification of Bug Reports for Mobile Devices: An Industrial Case Study

LINS, R. F.; BARROS, F. A.; PRUDENCIO, RICARDO BASTOS CAVALCANTE; MELO, W. N.
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional (ENIAC)
2022

Label noise detection under the noise at random model with ensemble filters

GOMES DE MOURA, KECIA; PRUDENCIO, RICARDO BASTOS CAVALCANTE; CAVALCANTI, G. D. C.
Intelligent Data Analysis
2022

Análise do posicionamento dos usuários do Twitter acerca da Vacinação Infantil contra a COVID-19 no Brasil

VITÓRIO, DOUGLAS; ALBUQUERQUE, HIDELBERG O.; SOUZA, ELLEN; OLIVEIRA, ADRIANO L. I.; BARROS, FLÁVIA; PRUDÊNCIO, RICARDO B. C.
Brazilian Workshop on Social Network Analysis and Mining
2022

A Clustering-Based Method to Anomaly Detection in Thermal Power Plants

DRAPAL, PATRICIA; CLEMENTE, JULLYA; MAITE REYES, DAILYS; DE SOUZA, STARCH MELO; LINS, ANTHONY; PRUDENCIO, RICARDO B. C.
[IJCNN] 2022 International Joint Conference on Neural Networks (IJCNN)
2022

Evaluating regression algorithms at the instance level using item response theory

MORAES, JOÃO V.C.; REINALDO, JÉSSICA T.S.; FERREIRA-JUNIOR, MANUEL; FILHO, TELMO SILVA; PRUDÊNCIO, RICARDO B.C.
KNOWLEDGE-BASED SYSTEMS
2021

A two-level Item Response Theory model to evaluate speech synthesis and recognition

OLIVEIRA, CHAINA S.; MORAES, JOÃO V.C.; FILHO, TELMO SILVA; PRUDÊNCIO, RICARDO B.C.
SPEECH COMMUNICATION
2021

A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment

CARVALHO, MAILTON; BARROS, FLAVIA; PRUDÊNCIO, RICARDO
[SBES] SBES '21: Brazilian Symposium on Software Engineering
2021

ImageDataset2Vec: An image dataset embedding for algorithm selection

DIAS, LUCAS V.; MIRANDA, PÉRICLES B.C.; NASCIMENTO, ANDRÉ C.A.; CORDEIRO, FILIPE R.; MELLO, RAFAEL FERREIRA; PRUDÊNCIO, RICARDO B.C.
EXPERT SYSTEMS WITH APPLICATIONS
2020

A Many-Objective optimization Approach for Complexity-based Data set Generation

FRACA, THIAGO R.; MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.; LORENAZ, ANA C.; NASCIMENTO, ANDRE C.A.
[CEC] 2020 IEEE Congress on Evolutionary Computation (CEC)
2020

CbDGen: Uma ferramenta de geração de dados sintéticos baseada na complexidade

FRANCA, T.; MIRANDA, P.; PRUDÊNCIO, RICARDO B. C.; NASCIMENTO, A. C. A.
Encontro Nacional de Inteligência Artificial e Computacional
2020

Item Response Theory for Evaluating Regression Algorithms

MORAES, JOAO V. C.; REINALDO, JESSICA T. S.; PRUDENCIO, RICARDO B. C.; SILVA FILHO, TELMO M.
[IJCNN] 2020 International Joint Conference on Neural Networks (IJCNN)
2020

One-Class Classification for Selecting Synthetic Datasets in Meta-Learning

PARENTE, REGINA R.; PRUDENCIO, RICARDO B. C.
[IJCNN] 2020 International Joint Conference on Neural Networks (IJCNN)
2020

Extração de Meta-Características de Conjuntos de Dados de Imagens para Seleção de Redes Neurais Convolucionais

DIAS, L.; MIRANDA, P.; NASCIMENTO, A. C. A.; CORDEIRO, F.; MELLO, R.; PRUDÊNCIO, RICARDO B. C.; OLIVEIRA, R.
Encontro Nacional de Inteligência Artificial e Computacional
2020

Item Response Theory to Estimate the Latent Ability of Speech Synthesizers

OLIVEIRA, C.; TENORIO, C.; RICARDO PRUDENCIO, B. C.
[ECAI] European Conference on Artificial Intelligence
2019

Otimização multi-objetivo da sequência de camadas em arquiteturas de aprendizagem profunda

CASTRO, MAYARA; NETO, GIUSEPPE; MIRANDA, PÉRICLES; CORDEIRO, FILIPE; PRUDÊNCIO, RICARDO
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2019

Cost Sensitive Evaluation of Instance Hardness in Machine Learning

PRUDÊNCIO, RICARDO B. C.
[ECML] Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019
2019

Item response theory in AI: Analysing machine learning classifiers at the instance level

MARTÍNEZ-PLUMED, FERNANDO; PRUDÊNCIO, RICARDO B.C.; MARTÍNEZ-USÓ, ADOLFO; HERNÁNDEZ-ORALLO, JOSÉ
ARTIFICIAL INTELLIGENCE
2019

β3-IRT: A New Item Response Model and its Applications

CHEN, Y.; SILVA FILHO, TELMO M.; PRUDÊNCIO, RICARDO B. C.; DIETHE, T.; FLACH, P.
The 22nd International Conference on Artificial Intelligence and Statistics
2019

CD-CARS: Cross-domain context-aware recommender systems

VÉRAS, DOUGLAS; PRUDÊNCIO, RICARDO; FERRAZ, CARLOS
EXPERT SYSTEMS WITH APPLICATIONS
2019

Empirical investigation of active learning strategies

PEREIRA-SANTOS, DAVI; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; DE CARVALHO, ANDRÉ C.P.L.F.
NEUROCOMPUTING
2019

A Multivariate Method for Group Profiling Using Subgroup Discovery

LUCAS, TARCISIO; GOMES, JOAO; VIMIEIRO, RENATO; PRUDENCIO, RICARDO; LUDERMIR, TERESA
[BRACIS] 2019 8th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Ensemble Methods for Label Noise Detection Under the Noisy at Random Model

GOMES DE MOURA, KECIA; BASTOS CAVALCANTE PRUDENCIO, RICARDO; DARMITON DA CUNHA CAVALCANTI, GEORGE
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction

BISPO, ALYSSON; PRUDENCIO, RICARDO; VERAS, DOUGLAS
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

AVS

SANTOS, IVAN; ARAÚJO, JOELSON; LIMA, CLOVES; PRUDÊNCIO, RICARDO B. C.; BARROS, FLÁVIA
[SBSI] the XIV Brazilian Symposium
2018

Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors

MIGUEL WANDERLEY, D. S.; RICARDO PRUDENCIO, B. C.
[IJCNN] 2018 International Joint Conference on Neural Networks (IJCNN)
2018

Knowledge Transfer for Synthetic Examples Selection in Meta-learning

PARENTE, R. R.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial e Computacional
2018

Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning

WANDERLEY, MIGUEL DOMINGOS DE SANTANA; PRUDENCIO, RICARDO BASTOS CAVALCANTE
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Data complexity meta-features for regression problems

LORENA, ANA C.; MACIEL, ARON I.; DE MIRANDA, PÉRICLES B. C.; COSTA, IVAN G.; PRUDÊNCIO, RICARDO B. C.
MACHINE LEARNING
2018

A novel context-free grammar for the generation of PSO algorithms

MIRANDA, PÉRICLES B. C.; PRUDÊNCIO, RICARDO B. C.
Natural Computing
2018

CUR: Group Profiling with Community-based Users' Representation

GOMES, JOÃO E. A.; NASCIMENTO, A. C. A.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial e Computacional
2017

Unsupervised Aspect Term Extraction in Online Drugs Reviews

CAVALCANTI, D.; PRUDÊNCIO, RICARDO B. C.
[AAAI] 30th AAAI International Flairs Conference
2017

Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks

GOMES, JOÃO E. A.; PRUDÊNCIO, RICARDO B. C.; NASCIMENTO, ANDRÉ C. A.
NEW GENERATION COMPUTING
2017

Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.
APPLIED SOFT COMPUTING
2017

H3AD: A hybrid hyper-heuristic for algorithm design

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.; PAPPA, GISELE L.
INFORMATION SCIENCES
2016

A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms

MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2016

A multiple kernel learning algorithm for drug-target interaction prediction

NASCIMENTO, A. C. A.; PRUDÊNCIO, RICARDO B. C.; COSTA, I.
BMC Bioinformatics
2016

Making Sense of Item Response Theory in Machine Learning

MARTINEZ-PLUMED, F.; PRUDÊNCIO, RICARDO B. C.; MARTINEZ-USO, A.; HERNANDEZ-ORALLO, J.
[ECAI] European Conference on Artificial Intelligence
2016

A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data

SILVA FILHO, TELMO M.; SOUZA, RENATA M.C.R.; PRUDÊNCIO, RICARDO B.C.
Neural Networks
2016

A Comparative Study of Group Profiling Techniques in Co-authorship Networks

GOMES, JOAO EMANOEL AMBROSIO; PRUDENCIO, RICARDO B.C.; NASCIMENTO, ANDRE C.A.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2016

Reframing in context: A systematic approach for model reuse in machine learning

HERNÁNDEZ-ORALLO, JOSÉ; MARTÍNEZ-USÓ, ADOLFO; PRUDÊNCIO, RICARDO B.C.; Kull, Meelis; Flach, Peter; FARHAN AHMED, CHOWDHURY; LACHICHE, NICOLAS
AI COMMUNICATIONS
2016

Active Learning and Data Manipulation Techniques for Generating Training Examples in Meta-Learning

SOUSA, ARTHUR F.M.; PRUDÊNCIO, RICARDO B.C.; LUDERMIR, TERESA B.; SOARES, CARLOS
Neurocomputing (Amsterdam)
2016

Transferência de Aprendizado em Contextos Semi-supervisionados

LUCENA, DANILO C.G. DE; PRUDÊNCIO, RICARDO B. C.
[KDMILE] Symposium on Knowledge Discovery, Mining and Learning (KDMiLe)
2016

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms

MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2015

GEFPSO

MIRANDA, PÉRICLES BARBOSA; PRUDÊNCIO, RICARDO BASTOS
[GECCO] the 2015
2015

I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem

MIRANDA, P.; SILVA, R.; PRUDENCIO, R. B. C.
[ESANN] European Symposium on Artificial Neural Networks
2015

A literature review of recommender systems in the television domain

VÉRAS, DOUGLAS; PROTA, THIAGO; BISPO, ALYSSON; PRUDÊNCIO, RICARDO; FERRAZ, CARLOS
Expert Systems with Applications
2015

Context-Aware Techniques for Cross-Domain Recommender Systems

VERAS, DOUGLAS; PRUDENCIO, RICARDO; FERRAZ, CARLOS; BISPO, ALYSSON; PROTA, THIAGO
[BRACIS] 2015 Brazilian Conference on Intelligent Systems (BRACIS)
2015

A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection

DE SOUZA, LUCIANO SOARES; CAVALCANTE PRUDÊNCIO, RICARDO BASTOS; DE BARROS, FLÁVIA A.
Journal of the Brazilian Computer Society (Impresso)
2015

Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms

LUCENA, DANILO C.G. DE; PRUDENCIO, RICARDO B.C.
[BRACIS] 2015 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection

SOUZA, LUCIANO S. DE; PRUDENCIO, RICARDO B.C.; BARROS, FLAVIA DE A.
[BRACIS] 2014 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.; DE CARVALHO, ANDRÉ P.L.F.; SOARES, CARLOS
Neurocomputing (Amsterdam)
2014

Cost-Sensitive Measures of Algorithm Similarity for Meta-learning

MELO, CARLOS EDUARDO CASTOR DE; PRUDENCIO, RICARDO BASTOS CAVALCANTE
[BRACIS] 2014 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria

LOPES, ANDRE R. S.; PRUDENCIO, RICARDO B. C.; BEZERRA, BYRON L. D.
[IJCNN] 2014 International Joint Conference on Neural Networks (IJCNN)
2014

A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection

DE SOUZA, LUCIANO S.; PRUDENCIO, RICARDO B. C.; BARROS, FLAVIA DE A.
[CEC] 2014 IEEE Congress on Evolutionary Computation (CEC)
2014

Fine-tuning of support vector machine parameters using racing algorithms

MIRANDA, P.; SILVA, R.; PRUDENCIO, RICARDO B.C.
European Symposium on Artificial Neural Networks
2013

Active testing for SVM parameter selection

MIRANDA, PERICLES B. C.; PRUDENCIO, RICARDO B. C.
[IJCNN] 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas)
2013

Search Based Constrained Test Case Selection Using Execution Effort

SOUZA, L.; PRUDENCIO, R. B. C.; BARROS, F. A.; ARANHA, E. H. S.
Expert Systems with Applications
2013

Group Profiling for Understanding Educational Social Networking

GOMES, J.; PRUDÊNCIO, RICARDO B. C.; MEIRA, L.; AZEVEDO FILHO, A.; NASCIMENTO, A. C. A.; OLIVEIRA, H.
[SEKE] Software Engineering and Knowledge Engineering (SEKE 2013)
2013

Active selection of training instances for a random forest meta-learner

SOUSA, ARTHUR F. M.; PRUDENCIO, RICARDO B. C.; SOARES, CARLOS; LUDERMIR, TERESA B.
[IJCNN] 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas)
2013

Proximity measures for link prediction based on temporal events

SOARES, PAULO R.S.; PRUDÊNCIO, RICARDO B.C.
Expert Systems with Applications
2013

User Influence on Twitter: Prediction Based on Personality and Content-based Features

GADELHA, R.; PRUDÊNCIO, RICARDO B. C.
16th Portuguese Conference on Artificial Intelligence
2012

Time Series Based Link Prediction

SOARES, P.; PRUDENCIO, R. B. C.
International Joint Conference on Artificial Neural Networks
2012

Multi-objective Optimization and Meta-learning for SVM Parameter Selection

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
International Joint Conference on Artificial Neural Networks
2012

Combining Meta-Learning and Search Techniques to Select Parameters for Support Vector Machines

GOMES, T.; ROSSI, A.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
Neurocomputing (Amsterdam)
2012

Combining a Multi-Objective Optimization Approach with Meta-Learning for SVM Parameter Selection (Best Paper Award)

MIRANDA, P.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
[SMC] IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2012)
2012

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
[ICCSA] International Conference on Computational Science and its Applications (ICCSA 2012)
2012

Combining Meta-Learning with Multi-Objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
Brazilian Symposium on Neural Network
2012

Um Modelo Híbrido LTM-ICM para Difusão de Influência em Redes Sociais

CAVALCANTI, A.; RABELO, J.; BARROS, F. A.; PRUDENCIO, R. B. C.
IV International Workshop on Web and Text Intelligence
2012

Leveraging Relationships in Social Networks for Sentiment Analysis

RABELO, J.; PRUDENCIO, R. B. C.; BARROS, F. A.
18th Brazilian Symposium on Multimedia and the Web (Webmedia 2012)
2012

Combining Uncertainty Sampling Methods for Supporting the Generation of Meta-Examples

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
INFORMATION SCIENCES
2012

Using Link Structure to Infer Sentiments in Social Networks

RABELO, J.; PRUDENCIO, R. B. C.; BARROS, F. A.
[SMC] IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2012)
2012

Collective Classification for Sentiment Analysis in Social Networks

RABELO, JULIANO; PRUDENCIO, RICARDO B.C.; BARROS, FLAVIA
[ICTAI] 2012 IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI)
2012

Análise de Sentimento em Citações Científicas para Definição de Fatores de Impacto Positivo

CAVALCANTI, D.; PRUDENCIO, R. B. C.; PRADHAN, S.; SHAH, J.; PIETROBON, R.
IV International Workshop on Web and Text Intelligence
2011

Feature and algorithm selection with Hybrid Intelligent Techniques

LUDERMIR, T. B.; PRUDENCIO, R. B. C.; ZANCHETIN, C.
International Journal of Hybrid Intelligent Systems
2011

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks (ICANN 2011)
2011

Uncertainty Sampling Methods to Select Datasets for Active Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[IJCNN] International Joint Conference on Artificial Neural Networks (IJCNN 2011)
2011

Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm

LUCAS, T.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.; SOARES, C.
Congresso Brasileiro de Inteligência Computacional
2011

Good to be bad? Distinguishing between positive and negative citations in scientific impact

CAVALCANTI, D.; PRADHAN, S.; SHAH, J.; PRUDENCIO, R. B. C.; PIETROBON, R.
International Conference on Tools with Artificial Intelligence
2011

Algoritmo Subida da Encosta para Otimização de Parâmetros de Máquinas de Vetores Suporte

MONTEIRO, F. C.; PRUDENCIO, R. B. C.
Congresso Brasileiro de Inteligência Computacional
2011

Supervised Link Prediction in Weighted Networks

SA, H.; PRUDENCIO, R. B. C.
[IJCNN] International Joint Conference on Artificial Neural Networks (IJCNN 2011)
2011

A Multi-Objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort

SOUZA, L.; MIRANDA, P.; PRUDENCIO, R. B. C.; BARROS, FLÁVIA A.
International Conference on Tools with Artificial Intelligence
2011

Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[HAIS] Hybrid Artificial Intelligence Systems (HAIS 2011)
2011

Meta-aprendizado para otimização de parâmetros de redes neurais

LUCAS, T.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.; SOARES, C.
Encontro Nacional de Inteligência Artificial (ENIA 2011)
2010

Randomized constraint solvers: a comparative study

Takaki, Mitsuo; Cavalcanti, Diego; Gheyi, Rohit; Iyoda, Juliano; d¿Amorim, Marcelo; PRUDÊNCIO, RICARDO B. C.
Innovations in Systems and Software Engineering (Print)
2010

Local Feature Selection for Generation of Ensembles in Text Clustering

RIBEIRO, M. N.; PRUDENCIO, R. B. C.
Simposio Brasileiro de Redes Neurais (SBRN)
2010

Active Selection of Datasetoids for Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
3rd Planning to Learn Workshop (at ECAI 2010)
2010

Combining Meta-Learning and Search Techniques to SVM Parameter Selection

GOMES, T.; ROSSI, A.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
Simposio Brasileiro de Redes Neurais (SBRN)
2010

A Constrained Particle Swarm Optimization Approach for Test Case Selection

SOUZA, L.; PRUDENCIO, R. B. C.; BARROS, F. A.
22nd International Conference on Software Engineering and Knowledge Engineering
2010

Supervised Learning for Link Prediction in Weighted Networks

SA, H.; PRUDENCIO, R. B. C.
III Workshop on Text Intelligence (WTI)
2009

Seleção Local de Características em Agrupamento Hierárquico de Documentos

RIBEIRO, M. N.; RIBEIRO NETO, M.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial
2009

COMBINING TEXT CLASSIFIERS AND HIDDEN MARKOV MODELS FOR INFORMATION EXTRACTION

BARROS, FLÁVIA A.; SILVA, EDUARDO F. A.; PRUDÊNCIO, RICARDO B. C.; FILHO, VALMIR M.; NASCIMENTO, ANDRÉ C. A.
International Journal on Artificial Intelligence Tools
2009

Combining Uncertainty Sampling Methods for Active Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
9th International Conference on Intelligent Systems Design and Applications
2009

B-Boost: Uma Extensão do Método de Boosting para Conjuntos de Treinamento Desbalanceados

RODRIGUES, J.; BARROS, F. A.; PRUDENCIO, R. B. C.
Encontro Nacional de Inteligência Artificial
2009

Class-Test: Classificação automática de textos para auxiliar a criação de suítes de teste (to be published)

LIMA, L.; BARROS, F. A.; PRUDENCIO, R. B. C.
II Workshop on Text Intelligence
2009

A comparative study of randomized constraint solvers for random symbolic testing

TAKAKI, M.; CAVALCANTI, D.; GREYI, R.; IYODA, J.; DAMORIM, M.; PRUDENCIO, R. B. C.
[NFM] First NASA Formal Methods Symposium (NFM 2009)
2009

Mining rules for the automatic selection process of clustering methods applied to cancer gene expression

NASCIMENTO, A. C. A.; PRUDENCIO, R. B. C.; SOUTO, M. C. P.; COSTA, I.
[ICANN] International Conference on Artificial Neural Networks
2009

Active Generation of Training Examples in Meta-Regression

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2008

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-Regressors

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2008

Active Meta-Learning with Uncertainty Sampling and Outlier Detection

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[IJCNN] International Joint Conference on Neural Networks
2008

Selective generation of training examples in active meta-learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
INTERNATIONAL JOURNAL OF HYBRID INTELLIGENT SYSTEMS
2008

Docs-Clustering: A System for Hierarchical Clustering and Document Labeling

RIBEIRO, M. N.; CABRAL, L.; LIMA, R.; REINALDO, G.; FREITAS, F.; PRUDENCIO, R. B. C.
Workshop on Web and Text Inteligence (WTI /SBIA08)
2008

Automatic Information Extraction in Semi-Structured Official Journals

Macário, V.; PRUDENCIO, R. B. C.; CARVALHO, F. A. T.; TORRES, L.; RODRIGUES JUNIOR, L.; GALINDO, M.
Simpósio Brasileiro de Redes Neurais (SBRN)
2008

Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.; Macário, V.; NASCIMENTO, A.
8th International Conference on Hybrid Intelligent Systems
2008

Local Feature Selection in Text Clustering

RIBEIRO, M. N.; RIBEIRO NETO, M.; PRUDENCIO, R. B. C.
[ICONIP] International Conference on Neural Information Processing
2008

Ranking and Selecting Clustering Algorithms Using a Meta-learning Approach

SOUTO, M. C. P.; PRUDENCIO, R. B. C.; SOARES, R.; ARAUJO, D.; COSTA, I.; LUDERMIR, T. B.; SCHLIEP, A.
International Joint Conference on Neural Networks
2008

Using Support Vector Regressors to Predict the Performance of MLP Neural Networks

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Simpósio Brasileiro de Redes Neurais (SBRN)
2008

Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
Simpósio Brasileiro de Redes Neurais (SBRN)
2007

Aprendizagem Ativa para Seleção de Exemplos em Meta-Aprendizado

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2007

Active Selection of Training Examples for Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[HIS] International Conference on Hybrid Intelligent Systems
2007

Active Learning to Support the Generation of Meta-examples

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2007

Meta-Aprendizado de Algoritmos de Treinamento para Redes Multi-Layer Perceptron

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2006

Learning Weights for Linear Combination of Forecasting Methods

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Ninth Brazilian Symposium on Neural Networks
2006

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks (ICANN)
2006

A Hybrid Machine Learning Approach for Information Extraction

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.
6th International Conference on Hybrid Intelligent Systems
2006

Meta-Learning of Clustering Algorithms: Analyzing Gene Expression Time Courses

CARVALHO, F. A. T.; PRUDENCIO, R. B. C.; SOUTO, M. C. P.; COSTA, I.; GEORGI, B.; LUDERMIR, T. B.; ROEPCKE, S.; SCHLIEP, A.
14th Annual International Conference on Intelligent Systems for Molecular Biology
2006

Acquiring the Preferences of New Users in Recommender Systems: The Role of Item Controversy

SAMPAIO, I.; RAMALHO, G.; CORRUBLE, V.; PRUDENCIO, R. B. C.
ECAI 2006 Workshop on Recommender Systems
2005

Uma Abordagem de Aprendizagem Híbrida para Extração de Informação em Textos Semi-Estruturados

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.
V Encontro Nacional de Inteligência Artificial (ENIA 2005)
2005

CLIO: Um Sistema de Gerenciamento de Bibliotecas Digitais para Documentos Históricos

CARDOSO, M.; BARROS, F. A.; GALINDO, M.; PRUDENCIO, R. B. C.; OTERO, M.
3o. Simpósio Internacional de Bibliotecas Digitais
2004

Seleção de Modelos de Previsão de Séries Temporais baseada em Informações de Performance

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
Simpósio Brasileiro de Redes Neurais, SBRN 2004
2004

Using Machine Learning Techniques to Combine Forecasting Methods

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Australian Conference on Artificial Intelligence
2004

Selection of Time Series Forecasting Models Based on Performance Information

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
[HIS] Fourth International Conference on Hybrid Intelligent Systems (HIS 04)
2004

A Modal Symbolic Classifier for selecting time series models

PRUDENCIO, R; LUDERMIR, T; DECARVALHO, F
Pattern Recognition Letters
2004

Meta-learning approaches to selecting time series models

PRUDENCIO, R
Neurocomputing (Amsterdam)
2003

Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquadt

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
26th Annual Conference of the Gesellschaft fuer Klassifikation, GfKl 2002
2003

Selecting and Ranking Time Series Models Using the NOEMON Approach

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
ICANN/ICONIP'03, 2003
2003

Seleção de Modelos de Séries Temporais Utilizando Meta-Protótipos

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2002

Selection of Models for Time Series Prediction via Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[HIS] International Conference on Hybrid Intelligent Systems
2001

Evolutionary Design of Neural Networks: Aplication to River Flow Prediction

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
International Conference on Artificial Inteligence and Aplications, AIA 2001
2001

Design of Neural Networks for Time Series Prediction Using Case-Initialized Genetic Algorithms

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICONIP] 8th International Conference on Neural Information Processing, ICONIP' 01
1999

Descoberta de Conhecimento em Banco de Dados Usando Redes Neurais

PRUDENCIO, R. B. C.
Encontro Nacional de Inteligência Artificial-ENIA99
1999

Utilização do Método de Redes Neurais para Estimação de Parâmetros Termofísicos em Problemas de Condução de Calor

CUNHA, R. O.; PRUDENCIO, R. B. C.; TEIXEIRA, I. R.; DUARTE, J. B. F.; PEQUENO, M. C.
[CNMAC] XXII Congresso Nacional de Matemática Aplicada e Computacional, CNMAC
1998

Redes Neurais Aplicadas a Sistemas Especialistas

PRUDENCIO, R. B. C.; TEIXEIRA, I. R.
50a. Reunião Anual da Sociedade Brasileira para o Progresso da Ciência

Publicações

2026

Online Classification of Software Change Requests in a Data Stream Environment

LINS, RENATA F.; BARROS, FLAVIA A.; PRUDÊNCIO, RICARDO B. C.
[SAC] SAC '26: 41st ACM/SIGAPP Symposium on Applied Computing
2026

Enhancing classifier evaluation: A difficulty-aware benchmarking strategy based on ability and robustness

CARDOSO, LUCAS FELIPE FERRARO; SANTOS, VITOR CIRILO ARAUJO; RIBEIRO FILHO, JOSÉ DE SOUSA; KAWASAKI FRANCÊS, REGIANE SILVA; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; ALVES, RONNIE CLEY DE OLIVEIRA
INFORMATION SCIENCES
2026

FairDIF: debiasing classifiers with item response theory and differential item functioning

MINATEL, DIEGO; PARMEZAN, ANTONIO R. S.; DOS SANTOS, NÍCOLAS ROQUE; CÚRI, MARIANA; PRUDÊNCIO, RICARDO B. C.; DE ANDRADE LOPES, ALNEU
AI and Ethics
2025

Novel applications of item response theory for analysing data set complexity and benchmark selection

PEREIRA, JOÃO LUIZ JUNHO; EXPOSITO DE QUEIROZ, ALFREDO ANTONIO ALENCAR; SILVA FILHO, TELMO DE MENEZES E; LORENA, ANA CAROLINA; MANTOVANI, RAFAEL GOMES; PAPPA, GISELE LOBO; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE
MACHINE LEARNING
2025

Exploring the Relation between Dataset Complexity and AutoML Fitness Landscape Metrics

FRANCA, T.; PRUDENCIO, RICARDO; MIRANDA, P.
[IJCNN] 2025 International Joint Conference on Neural Networks (IJCNN)
2025

An item response theory framework to evaluate automatic speech recognition systems against speech difficulty

OLIVEIRA, CHAINA; PRUDÊNCIO, RICARDO B.C.
COMPUTER SPEECH AND LANGUAGE
2025

Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory

CARDOSO, LUCAS; SANTOS, VITOR; PRUDÊNCIO, RICARDO; RIBEIRO, JOSÉ; KAWASAKI, REGIANE; ALVES, RONNIE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2025

Active semi-supervised learning for multi-target regression

LIRA, MAIRA FARIAS ANDRADE; CAVALCANTE, LUISA; VENS, CELINE; PRUDENCIO, RICARDO; NAKANO, FELIPE KENJI
[IJCNN] 2025 International Joint Conference on Neural Networks (IJCNN)
2025

CLAIRE: clustering evaluation based on item response theory and model agreement

FERREIRA-JUNIOR, MANUEL; LIMA NETO, EUFRASIO A.; FERREIRA, MARCELO R. P.; SILVA FILHO, TELMO M.; PRUDÊNCIO, RICARDO B. C.
MACHINE LEARNING
2024

Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder

LIRA, MAIRA FARIAS ANDRADE; SIQUEIRA-FILHO, ELIAS AMANCIO; PRUDENCIO, RICARDO
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Explainable Machine Learning Techniques for Criticality Prediction of Software Change Requests

SANTOS, AMANDA Q. R. DOS; SILVA, JOSÉ R. DA; LINS, RENATA F.; PRUDENCIO, RICARDO B. C.
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2024

Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines

FERREIRA, EDUARDO VARGAS; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; LORENA, ANA CAROLINA
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Assessor Models for Explaining Instance Hardness in Classification Problems

PRUDÊNCIO, RICARDO B. C.; LORENA, ANA C.; SILVA-FILHO, TELMO; DRAPAL, PATRICIA; VALERIANO, MARIA GABRIELA
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Towards explainable evaluation: Explaining predicted performance using local performance regions

DRAPAL, PATRICIA; PRUDÊNCIO, RICARDO B.C.; FILHO, TELMO M. SILVA
APPLIED SOFT COMPUTING
2024

Meta-Learning and Novelty Detection for Machine Learning with Reject Option

DRAPAL, PATRICIA; SILVA-FILHO, TELMO; PRUDÊNCIO, RICARDO B. C.
[IJCNN] 2024 International Joint Conference on Neural Networks (IJCNN)
2024

Assessor Models for Predicting and Explaining Aleatoric Uncertainty in Classification

LIMA, PEDRO B. S.; PRUDÊNCIO, RICARDO B. C.; LORENA, ANA CAROLINA; VALERIANO, MARIA GABRIELA
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2023

A Novel Remaining Useful Estimation Model to Assist Asset Renewal Decisions Applied to the Brazilian Electric Sector

SANTIAGO, HEMIR DA CUNHA; CAVALCANTI, JOSÉ CARLOS DA SILVA; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; MOHAMED, MOHAMED A.; SARUBBO, LEONIE ASFORA; CONVERTI, ATTILIO; MARINHO, MANOEL HENRIQUE DA NÓBREGA
Energies
2023

Trusting my predictions: on the value of Instance-Level analysis

LORENA, ANA C.; PAIVA, PEDRO Y. A.; PRUDÊNCIO, RICARDO B. C.
ACM COMPUTING SURVEYS
2023

Decision Threshold Selection and Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder

LIRA, MAIRA FARIAS ANDRADE; SIQUEIRA-FILHO, ELIAS AMANCIO; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2023

Machine Learning Techniques for Escaped Defect Analysis in Software Testing

NASCIMENTO, LIDIA PERSIDE GOMES; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; MOTA, ALEXANDRE CABRAL; FILHO, AUDIR DE ARAUJO PAIVA; CRUZ, PEDRO HENRIQUE ALVES; OLIVEIRA, DANIEL CARDOSO COELHO ALVES DE; MOREIRA, PEDRO RONCOLI SARMET
[SAST] SAST 2023: 8th Brazilian Symposium on Systematic and Automated Software Testing
2023

Assessor Models with Reject Option for soccer result prediction

DA COSTA, DANIEL C.; PRUDÊNCIO, RICARDO; MOTA, ALEXADRE
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2022

Automatic Classification of Bug Reports for Mobile Devices: An Industrial Case Study

LINS, R. F.; BARROS, F. A.; PRUDENCIO, RICARDO BASTOS CAVALCANTE; MELO, W. N.
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional (ENIAC)
2022

Label noise detection under the noise at random model with ensemble filters

GOMES DE MOURA, KECIA; PRUDENCIO, RICARDO BASTOS CAVALCANTE; CAVALCANTI, G. D. C.
Intelligent Data Analysis
2022

Análise do posicionamento dos usuários do Twitter acerca da Vacinação Infantil contra a COVID-19 no Brasil

VITÓRIO, DOUGLAS; ALBUQUERQUE, HIDELBERG O.; SOUZA, ELLEN; OLIVEIRA, ADRIANO L. I.; BARROS, FLÁVIA; PRUDÊNCIO, RICARDO B. C.
Brazilian Workshop on Social Network Analysis and Mining
2022

A Clustering-Based Method to Anomaly Detection in Thermal Power Plants

DRAPAL, PATRICIA; CLEMENTE, JULLYA; MAITE REYES, DAILYS; DE SOUZA, STARCH MELO; LINS, ANTHONY; PRUDENCIO, RICARDO B. C.
[IJCNN] 2022 International Joint Conference on Neural Networks (IJCNN)
2022

Evaluating regression algorithms at the instance level using item response theory

MORAES, JOÃO V.C.; REINALDO, JÉSSICA T.S.; FERREIRA-JUNIOR, MANUEL; FILHO, TELMO SILVA; PRUDÊNCIO, RICARDO B.C.
KNOWLEDGE-BASED SYSTEMS
2021

A two-level Item Response Theory model to evaluate speech synthesis and recognition

OLIVEIRA, CHAINA S.; MORAES, JOÃO V.C.; FILHO, TELMO SILVA; PRUDÊNCIO, RICARDO B.C.
SPEECH COMMUNICATION
2021

A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment

CARVALHO, MAILTON; BARROS, FLAVIA; PRUDÊNCIO, RICARDO
[SBES] SBES '21: Brazilian Symposium on Software Engineering
2021

ImageDataset2Vec: An image dataset embedding for algorithm selection

DIAS, LUCAS V.; MIRANDA, PÉRICLES B.C.; NASCIMENTO, ANDRÉ C.A.; CORDEIRO, FILIPE R.; MELLO, RAFAEL FERREIRA; PRUDÊNCIO, RICARDO B.C.
EXPERT SYSTEMS WITH APPLICATIONS
2020

A Many-Objective optimization Approach for Complexity-based Data set Generation

FRACA, THIAGO R.; MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.; LORENAZ, ANA C.; NASCIMENTO, ANDRE C.A.
[CEC] 2020 IEEE Congress on Evolutionary Computation (CEC)
2020

CbDGen: Uma ferramenta de geração de dados sintéticos baseada na complexidade

FRANCA, T.; MIRANDA, P.; PRUDÊNCIO, RICARDO B. C.; NASCIMENTO, A. C. A.
Encontro Nacional de Inteligência Artificial e Computacional
2020

Item Response Theory for Evaluating Regression Algorithms

MORAES, JOAO V. C.; REINALDO, JESSICA T. S.; PRUDENCIO, RICARDO B. C.; SILVA FILHO, TELMO M.
[IJCNN] 2020 International Joint Conference on Neural Networks (IJCNN)
2020

One-Class Classification for Selecting Synthetic Datasets in Meta-Learning

PARENTE, REGINA R.; PRUDENCIO, RICARDO B. C.
[IJCNN] 2020 International Joint Conference on Neural Networks (IJCNN)
2020

Extração de Meta-Características de Conjuntos de Dados de Imagens para Seleção de Redes Neurais Convolucionais

DIAS, L.; MIRANDA, P.; NASCIMENTO, A. C. A.; CORDEIRO, F.; MELLO, R.; PRUDÊNCIO, RICARDO B. C.; OLIVEIRA, R.
Encontro Nacional de Inteligência Artificial e Computacional
2020

Item Response Theory to Estimate the Latent Ability of Speech Synthesizers

OLIVEIRA, C.; TENORIO, C.; RICARDO PRUDENCIO, B. C.
[ECAI] European Conference on Artificial Intelligence
2019

Otimização multi-objetivo da sequência de camadas em arquiteturas de aprendizagem profunda

CASTRO, MAYARA; NETO, GIUSEPPE; MIRANDA, PÉRICLES; CORDEIRO, FILIPE; PRUDÊNCIO, RICARDO
[ENIAC] Encontro Nacional de Inteligência Artificial e Computacional
2019

Cost Sensitive Evaluation of Instance Hardness in Machine Learning

PRUDÊNCIO, RICARDO B. C.
[ECML] Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019
2019

Item response theory in AI: Analysing machine learning classifiers at the instance level

MARTÍNEZ-PLUMED, FERNANDO; PRUDÊNCIO, RICARDO B.C.; MARTÍNEZ-USÓ, ADOLFO; HERNÁNDEZ-ORALLO, JOSÉ
ARTIFICIAL INTELLIGENCE
2019

β3-IRT: A New Item Response Model and its Applications

CHEN, Y.; SILVA FILHO, TELMO M.; PRUDÊNCIO, RICARDO B. C.; DIETHE, T.; FLACH, P.
The 22nd International Conference on Artificial Intelligence and Statistics
2019

CD-CARS: Cross-domain context-aware recommender systems

VÉRAS, DOUGLAS; PRUDÊNCIO, RICARDO; FERRAZ, CARLOS
EXPERT SYSTEMS WITH APPLICATIONS
2019

Empirical investigation of active learning strategies

PEREIRA-SANTOS, DAVI; PRUDÊNCIO, RICARDO BASTOS CAVALCANTE; DE CARVALHO, ANDRÉ C.P.L.F.
NEUROCOMPUTING
2019

A Multivariate Method for Group Profiling Using Subgroup Discovery

LUCAS, TARCISIO; GOMES, JOAO; VIMIEIRO, RENATO; PRUDENCIO, RICARDO; LUDERMIR, TERESA
[BRACIS] 2019 8th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Ensemble Methods for Label Noise Detection Under the Noisy at Random Model

GOMES DE MOURA, KECIA; BASTOS CAVALCANTE PRUDENCIO, RICARDO; DARMITON DA CUNHA CAVALCANTI, GEORGE
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction

BISPO, ALYSSON; PRUDENCIO, RICARDO; VERAS, DOUGLAS
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

AVS

SANTOS, IVAN; ARAÚJO, JOELSON; LIMA, CLOVES; PRUDÊNCIO, RICARDO B. C.; BARROS, FLÁVIA
[SBSI] the XIV Brazilian Symposium
2018

Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors

MIGUEL WANDERLEY, D. S.; RICARDO PRUDENCIO, B. C.
[IJCNN] 2018 International Joint Conference on Neural Networks (IJCNN)
2018

Knowledge Transfer for Synthetic Examples Selection in Meta-learning

PARENTE, R. R.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial e Computacional
2018

Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning

WANDERLEY, MIGUEL DOMINGOS DE SANTANA; PRUDENCIO, RICARDO BASTOS CAVALCANTE
[BRACIS] 2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
2018

Data complexity meta-features for regression problems

LORENA, ANA C.; MACIEL, ARON I.; DE MIRANDA, PÉRICLES B. C.; COSTA, IVAN G.; PRUDÊNCIO, RICARDO B. C.
MACHINE LEARNING
2018

A novel context-free grammar for the generation of PSO algorithms

MIRANDA, PÉRICLES B. C.; PRUDÊNCIO, RICARDO B. C.
Natural Computing
2018

CUR: Group Profiling with Community-based Users' Representation

GOMES, JOÃO E. A.; NASCIMENTO, A. C. A.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial e Computacional
2017

Unsupervised Aspect Term Extraction in Online Drugs Reviews

CAVALCANTI, D.; PRUDÊNCIO, RICARDO B. C.
[AAAI] 30th AAAI International Flairs Conference
2017

Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks

GOMES, JOÃO E. A.; PRUDÊNCIO, RICARDO B. C.; NASCIMENTO, ANDRÉ C. A.
NEW GENERATION COMPUTING
2017

Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.
APPLIED SOFT COMPUTING
2017

H3AD: A hybrid hyper-heuristic for algorithm design

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.; PAPPA, GISELE L.
INFORMATION SCIENCES
2016

A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms

MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2016

A multiple kernel learning algorithm for drug-target interaction prediction

NASCIMENTO, A. C. A.; PRUDÊNCIO, RICARDO B. C.; COSTA, I.
BMC Bioinformatics
2016

Making Sense of Item Response Theory in Machine Learning

MARTINEZ-PLUMED, F.; PRUDÊNCIO, RICARDO B. C.; MARTINEZ-USO, A.; HERNANDEZ-ORALLO, J.
[ECAI] European Conference on Artificial Intelligence
2016

A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data

SILVA FILHO, TELMO M.; SOUZA, RENATA M.C.R.; PRUDÊNCIO, RICARDO B.C.
Neural Networks
2016

A Comparative Study of Group Profiling Techniques in Co-authorship Networks

GOMES, JOAO EMANOEL AMBROSIO; PRUDENCIO, RICARDO B.C.; NASCIMENTO, ANDRE C.A.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2016

Reframing in context: A systematic approach for model reuse in machine learning

HERNÁNDEZ-ORALLO, JOSÉ; MARTÍNEZ-USÓ, ADOLFO; PRUDÊNCIO, RICARDO B.C.; Kull, Meelis; Flach, Peter; FARHAN AHMED, CHOWDHURY; LACHICHE, NICOLAS
AI COMMUNICATIONS
2016

Active Learning and Data Manipulation Techniques for Generating Training Examples in Meta-Learning

SOUSA, ARTHUR F.M.; PRUDÊNCIO, RICARDO B.C.; LUDERMIR, TERESA B.; SOARES, CARLOS
Neurocomputing (Amsterdam)
2016

Transferência de Aprendizado em Contextos Semi-supervisionados

LUCENA, DANILO C.G. DE; PRUDÊNCIO, RICARDO B. C.
[KDMILE] Symposium on Knowledge Discovery, Mining and Learning (KDMiLe)
2016

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms

MIRANDA, PERICLES B.C.; PRUDENCIO, RICARDO B.C.
[BRACIS] 2016 5th Brazilian Conference on Intelligent Systems (BRACIS)
2015

GEFPSO

MIRANDA, PÉRICLES BARBOSA; PRUDÊNCIO, RICARDO BASTOS
[GECCO] the 2015
2015

I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem

MIRANDA, P.; SILVA, R.; PRUDENCIO, R. B. C.
[ESANN] European Symposium on Artificial Neural Networks
2015

A literature review of recommender systems in the television domain

VÉRAS, DOUGLAS; PROTA, THIAGO; BISPO, ALYSSON; PRUDÊNCIO, RICARDO; FERRAZ, CARLOS
Expert Systems with Applications
2015

Context-Aware Techniques for Cross-Domain Recommender Systems

VERAS, DOUGLAS; PRUDENCIO, RICARDO; FERRAZ, CARLOS; BISPO, ALYSSON; PROTA, THIAGO
[BRACIS] 2015 Brazilian Conference on Intelligent Systems (BRACIS)
2015

A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection

DE SOUZA, LUCIANO SOARES; CAVALCANTE PRUDÊNCIO, RICARDO BASTOS; DE BARROS, FLÁVIA A.
Journal of the Brazilian Computer Society (Impresso)
2015

Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms

LUCENA, DANILO C.G. DE; PRUDENCIO, RICARDO B.C.
[BRACIS] 2015 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection

SOUZA, LUCIANO S. DE; PRUDENCIO, RICARDO B.C.; BARROS, FLAVIA DE A.
[BRACIS] 2014 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters

MIRANDA, PÉRICLES B.C.; PRUDÊNCIO, RICARDO B.C.; DE CARVALHO, ANDRÉ P.L.F.; SOARES, CARLOS
Neurocomputing (Amsterdam)
2014

Cost-Sensitive Measures of Algorithm Similarity for Meta-learning

MELO, CARLOS EDUARDO CASTOR DE; PRUDENCIO, RICARDO BASTOS CAVALCANTE
[BRACIS] 2014 Brazilian Conference on Intelligent Systems (BRACIS)
2014

A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria

LOPES, ANDRE R. S.; PRUDENCIO, RICARDO B. C.; BEZERRA, BYRON L. D.
[IJCNN] 2014 International Joint Conference on Neural Networks (IJCNN)
2014

A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection

DE SOUZA, LUCIANO S.; PRUDENCIO, RICARDO B. C.; BARROS, FLAVIA DE A.
[CEC] 2014 IEEE Congress on Evolutionary Computation (CEC)
2014

Fine-tuning of support vector machine parameters using racing algorithms

MIRANDA, P.; SILVA, R.; PRUDENCIO, RICARDO B.C.
European Symposium on Artificial Neural Networks
2013

Active testing for SVM parameter selection

MIRANDA, PERICLES B. C.; PRUDENCIO, RICARDO B. C.
[IJCNN] 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas)
2013

Search Based Constrained Test Case Selection Using Execution Effort

SOUZA, L.; PRUDENCIO, R. B. C.; BARROS, F. A.; ARANHA, E. H. S.
Expert Systems with Applications
2013

Group Profiling for Understanding Educational Social Networking

GOMES, J.; PRUDÊNCIO, RICARDO B. C.; MEIRA, L.; AZEVEDO FILHO, A.; NASCIMENTO, A. C. A.; OLIVEIRA, H.
[SEKE] Software Engineering and Knowledge Engineering (SEKE 2013)
2013

Active selection of training instances for a random forest meta-learner

SOUSA, ARTHUR F. M.; PRUDENCIO, RICARDO B. C.; SOARES, CARLOS; LUDERMIR, TERESA B.
[IJCNN] 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas)
2013

Proximity measures for link prediction based on temporal events

SOARES, PAULO R.S.; PRUDÊNCIO, RICARDO B.C.
Expert Systems with Applications
2013

User Influence on Twitter: Prediction Based on Personality and Content-based Features

GADELHA, R.; PRUDÊNCIO, RICARDO B. C.
16th Portuguese Conference on Artificial Intelligence
2012

Time Series Based Link Prediction

SOARES, P.; PRUDENCIO, R. B. C.
International Joint Conference on Artificial Neural Networks
2012

Multi-objective Optimization and Meta-learning for SVM Parameter Selection

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
International Joint Conference on Artificial Neural Networks
2012

Combining Meta-Learning and Search Techniques to Select Parameters for Support Vector Machines

GOMES, T.; ROSSI, A.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
Neurocomputing (Amsterdam)
2012

Combining a Multi-Objective Optimization Approach with Meta-Learning for SVM Parameter Selection (Best Paper Award)

MIRANDA, P.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
[SMC] IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2012)
2012

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
[ICCSA] International Conference on Computational Science and its Applications (ICCSA 2012)
2012

Combining Meta-Learning with Multi-Objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis

MIRANDA, P.; PRUDENCIO, R. B. C.; CARVALHO, A. C. P. L. F.; SOARES, C.
Brazilian Symposium on Neural Network
2012

Um Modelo Híbrido LTM-ICM para Difusão de Influência em Redes Sociais

CAVALCANTI, A.; RABELO, J.; BARROS, F. A.; PRUDENCIO, R. B. C.
IV International Workshop on Web and Text Intelligence
2012

Leveraging Relationships in Social Networks for Sentiment Analysis

RABELO, J.; PRUDENCIO, R. B. C.; BARROS, F. A.
18th Brazilian Symposium on Multimedia and the Web (Webmedia 2012)
2012

Combining Uncertainty Sampling Methods for Supporting the Generation of Meta-Examples

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
INFORMATION SCIENCES
2012

Using Link Structure to Infer Sentiments in Social Networks

RABELO, J.; PRUDENCIO, R. B. C.; BARROS, F. A.
[SMC] IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2012)
2012

Collective Classification for Sentiment Analysis in Social Networks

RABELO, JULIANO; PRUDENCIO, RICARDO B.C.; BARROS, FLAVIA
[ICTAI] 2012 IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI)
2012

Análise de Sentimento em Citações Científicas para Definição de Fatores de Impacto Positivo

CAVALCANTI, D.; PRUDENCIO, R. B. C.; PRADHAN, S.; SHAH, J.; PIETROBON, R.
IV International Workshop on Web and Text Intelligence
2011

Feature and algorithm selection with Hybrid Intelligent Techniques

LUDERMIR, T. B.; PRUDENCIO, R. B. C.; ZANCHETIN, C.
International Journal of Hybrid Intelligent Systems
2011

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks (ICANN 2011)
2011

Uncertainty Sampling Methods to Select Datasets for Active Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[IJCNN] International Joint Conference on Artificial Neural Networks (IJCNN 2011)
2011

Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm

LUCAS, T.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.; SOARES, C.
Congresso Brasileiro de Inteligência Computacional
2011

Good to be bad? Distinguishing between positive and negative citations in scientific impact

CAVALCANTI, D.; PRADHAN, S.; SHAH, J.; PRUDENCIO, R. B. C.; PIETROBON, R.
International Conference on Tools with Artificial Intelligence
2011

Algoritmo Subida da Encosta para Otimização de Parâmetros de Máquinas de Vetores Suporte

MONTEIRO, F. C.; PRUDENCIO, R. B. C.
Congresso Brasileiro de Inteligência Computacional
2011

Supervised Link Prediction in Weighted Networks

SA, H.; PRUDENCIO, R. B. C.
[IJCNN] International Joint Conference on Artificial Neural Networks (IJCNN 2011)
2011

A Multi-Objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort

SOUZA, L.; MIRANDA, P.; PRUDENCIO, R. B. C.; BARROS, FLÁVIA A.
International Conference on Tools with Artificial Intelligence
2011

Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
[HAIS] Hybrid Artificial Intelligence Systems (HAIS 2011)
2011

Meta-aprendizado para otimização de parâmetros de redes neurais

LUCAS, T.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.; SOARES, C.
Encontro Nacional de Inteligência Artificial (ENIA 2011)
2010

Randomized constraint solvers: a comparative study

Takaki, Mitsuo; Cavalcanti, Diego; Gheyi, Rohit; Iyoda, Juliano; d¿Amorim, Marcelo; PRUDÊNCIO, RICARDO B. C.
Innovations in Systems and Software Engineering (Print)
2010

Local Feature Selection for Generation of Ensembles in Text Clustering

RIBEIRO, M. N.; PRUDENCIO, R. B. C.
Simposio Brasileiro de Redes Neurais (SBRN)
2010

Active Selection of Datasetoids for Meta-Learning

PRUDENCIO, R. B. C.; SOARES, C.; LUDERMIR, T. B.
3rd Planning to Learn Workshop (at ECAI 2010)
2010

Combining Meta-Learning and Search Techniques to SVM Parameter Selection

GOMES, T.; ROSSI, A.; PRUDENCIO, R. B. C.; SOARES, C.; CARVALHO, A. C. P. L. F.
Simposio Brasileiro de Redes Neurais (SBRN)
2010

A Constrained Particle Swarm Optimization Approach for Test Case Selection

SOUZA, L.; PRUDENCIO, R. B. C.; BARROS, F. A.
22nd International Conference on Software Engineering and Knowledge Engineering
2010

Supervised Learning for Link Prediction in Weighted Networks

SA, H.; PRUDENCIO, R. B. C.
III Workshop on Text Intelligence (WTI)
2009

Seleção Local de Características em Agrupamento Hierárquico de Documentos

RIBEIRO, M. N.; RIBEIRO NETO, M.; PRUDÊNCIO, RICARDO B. C.
Encontro Nacional de Inteligência Artificial
2009

COMBINING TEXT CLASSIFIERS AND HIDDEN MARKOV MODELS FOR INFORMATION EXTRACTION

BARROS, FLÁVIA A.; SILVA, EDUARDO F. A.; PRUDÊNCIO, RICARDO B. C.; FILHO, VALMIR M.; NASCIMENTO, ANDRÉ C. A.
International Journal on Artificial Intelligence Tools
2009

Combining Uncertainty Sampling Methods for Active Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
9th International Conference on Intelligent Systems Design and Applications
2009

B-Boost: Uma Extensão do Método de Boosting para Conjuntos de Treinamento Desbalanceados

RODRIGUES, J.; BARROS, F. A.; PRUDENCIO, R. B. C.
Encontro Nacional de Inteligência Artificial
2009

Class-Test: Classificação automática de textos para auxiliar a criação de suítes de teste (to be published)

LIMA, L.; BARROS, F. A.; PRUDENCIO, R. B. C.
II Workshop on Text Intelligence
2009

A comparative study of randomized constraint solvers for random symbolic testing

TAKAKI, M.; CAVALCANTI, D.; GREYI, R.; IYODA, J.; DAMORIM, M.; PRUDENCIO, R. B. C.
[NFM] First NASA Formal Methods Symposium (NFM 2009)
2009

Mining rules for the automatic selection process of clustering methods applied to cancer gene expression

NASCIMENTO, A. C. A.; PRUDENCIO, R. B. C.; SOUTO, M. C. P.; COSTA, I.
[ICANN] International Conference on Artificial Neural Networks
2009

Active Generation of Training Examples in Meta-Regression

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2008

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-Regressors

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2008

Active Meta-Learning with Uncertainty Sampling and Outlier Detection

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[IJCNN] International Joint Conference on Neural Networks
2008

Selective generation of training examples in active meta-learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
INTERNATIONAL JOURNAL OF HYBRID INTELLIGENT SYSTEMS
2008

Docs-Clustering: A System for Hierarchical Clustering and Document Labeling

RIBEIRO, M. N.; CABRAL, L.; LIMA, R.; REINALDO, G.; FREITAS, F.; PRUDENCIO, R. B. C.
Workshop on Web and Text Inteligence (WTI /SBIA08)
2008

Automatic Information Extraction in Semi-Structured Official Journals

Macário, V.; PRUDENCIO, R. B. C.; CARVALHO, F. A. T.; TORRES, L.; RODRIGUES JUNIOR, L.; GALINDO, M.
Simpósio Brasileiro de Redes Neurais (SBRN)
2008

Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.; Macário, V.; NASCIMENTO, A.
8th International Conference on Hybrid Intelligent Systems
2008

Local Feature Selection in Text Clustering

RIBEIRO, M. N.; RIBEIRO NETO, M.; PRUDENCIO, R. B. C.
[ICONIP] International Conference on Neural Information Processing
2008

Ranking and Selecting Clustering Algorithms Using a Meta-learning Approach

SOUTO, M. C. P.; PRUDENCIO, R. B. C.; SOARES, R.; ARAUJO, D.; COSTA, I.; LUDERMIR, T. B.; SCHLIEP, A.
International Joint Conference on Neural Networks
2008

Using Support Vector Regressors to Predict the Performance of MLP Neural Networks

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Simpósio Brasileiro de Redes Neurais (SBRN)
2008

Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
Simpósio Brasileiro de Redes Neurais (SBRN)
2007

Aprendizagem Ativa para Seleção de Exemplos em Meta-Aprendizado

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2007

Active Selection of Training Examples for Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[HIS] International Conference on Hybrid Intelligent Systems
2007

Active Learning to Support the Generation of Meta-examples

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks
2007

Meta-Aprendizado de Algoritmos de Treinamento para Redes Multi-Layer Perceptron

GUERRA, S.; PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2006

Learning Weights for Linear Combination of Forecasting Methods

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Ninth Brazilian Symposium on Neural Networks
2006

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICANN] International Conference on Artificial Neural Networks (ICANN)
2006

A Hybrid Machine Learning Approach for Information Extraction

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.
6th International Conference on Hybrid Intelligent Systems
2006

Meta-Learning of Clustering Algorithms: Analyzing Gene Expression Time Courses

CARVALHO, F. A. T.; PRUDENCIO, R. B. C.; SOUTO, M. C. P.; COSTA, I.; GEORGI, B.; LUDERMIR, T. B.; ROEPCKE, S.; SCHLIEP, A.
14th Annual International Conference on Intelligent Systems for Molecular Biology
2006

Acquiring the Preferences of New Users in Recommender Systems: The Role of Item Controversy

SAMPAIO, I.; RAMALHO, G.; CORRUBLE, V.; PRUDENCIO, R. B. C.
ECAI 2006 Workshop on Recommender Systems
2005

Uma Abordagem de Aprendizagem Híbrida para Extração de Informação em Textos Semi-Estruturados

SILVA, E.; BARROS, F. A.; PRUDENCIO, R. B. C.
V Encontro Nacional de Inteligência Artificial (ENIA 2005)
2005

CLIO: Um Sistema de Gerenciamento de Bibliotecas Digitais para Documentos Históricos

CARDOSO, M.; BARROS, F. A.; GALINDO, M.; PRUDENCIO, R. B. C.; OTERO, M.
3o. Simpósio Internacional de Bibliotecas Digitais
2004

Seleção de Modelos de Previsão de Séries Temporais baseada em Informações de Performance

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
Simpósio Brasileiro de Redes Neurais, SBRN 2004
2004

Using Machine Learning Techniques to Combine Forecasting Methods

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Australian Conference on Artificial Intelligence
2004

Selection of Time Series Forecasting Models Based on Performance Information

SANTOS, P.; LUDERMIR, T. B.; PRUDENCIO, R. B. C.
[HIS] Fourth International Conference on Hybrid Intelligent Systems (HIS 04)
2004

A Modal Symbolic Classifier for selecting time series models

PRUDENCIO, R; LUDERMIR, T; DECARVALHO, F
Pattern Recognition Letters
2004

Meta-learning approaches to selecting time series models

PRUDENCIO, R
Neurocomputing (Amsterdam)
2003

Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquadt

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
26th Annual Conference of the Gesellschaft fuer Klassifikation, GfKl 2002
2003

Selecting and Ranking Time Series Models Using the NOEMON Approach

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
ICANN/ICONIP'03, 2003
2003

Seleção de Modelos de Séries Temporais Utilizando Meta-Protótipos

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
Encontro Nacional de Inteligência Artificial
2002

Selection of Models for Time Series Prediction via Meta-Learning

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[HIS] International Conference on Hybrid Intelligent Systems
2001

Evolutionary Design of Neural Networks: Aplication to River Flow Prediction

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
International Conference on Artificial Inteligence and Aplications, AIA 2001
2001

Design of Neural Networks for Time Series Prediction Using Case-Initialized Genetic Algorithms

PRUDENCIO, R. B. C.; LUDERMIR, T. B.
[ICONIP] 8th International Conference on Neural Information Processing, ICONIP' 01
1999

Descoberta de Conhecimento em Banco de Dados Usando Redes Neurais

PRUDENCIO, R. B. C.
Encontro Nacional de Inteligência Artificial-ENIA99
1999

Utilização do Método de Redes Neurais para Estimação de Parâmetros Termofísicos em Problemas de Condução de Calor

CUNHA, R. O.; PRUDENCIO, R. B. C.; TEIXEIRA, I. R.; DUARTE, J. B. F.; PEQUENO, M. C.
[CNMAC] XXII Congresso Nacional de Matemática Aplicada e Computacional, CNMAC
1998

Redes Neurais Aplicadas a Sistemas Especialistas

PRUDENCIO, R. B. C.; TEIXEIRA, I. R.
50a. Reunião Anual da Sociedade Brasileira para o Progresso da Ciência
rbcp

Ricardo Bastos Cavalcante Prudêncio

Professor Titular

Vice-Coordenador da Graduação em Inteligência Artificial

Aprendizagem de Máquina e Mineração
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rbcp

Ricardo Bastos Cavalcante Prudêncio

Professor Titular

Vice-Coordenador da Graduação em Inteligência Artificial

Aprendizagem de Máquina e Mineração
Link para o site pessoal de Ricardo Bastos Cavalcante Prudêncio
Link para o perfil do lattes de Ricardo Bastos Cavalcante Prudêncio
Link para o perfil do Scholar de Ricardo Bastos Cavalcante Prudêncio
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E-mail
rbcp@cin.ufpe.br
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+55 81 2126-8430 R:4348
Sala
C126
•Publicações
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