Ricardo B. C. Prudêncio

82 papers A 3B 18C 2Misc 2Journal 34Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An item response theory framework to evaluate automatic speech recognition systems against speech difficulty. Comput. Speech Lang. Chaina Santos Oliveira, Ricardo B. C. Prudêncio
2026	J	`jnl`	FairDIF: debiasing classifiers with item response theory and differential item functioning. AI Ethics Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Curi, Ricardo B. C. Prudêncio, Alneu de Andrade Lopes
2025	—	`conf`	A Comprehensive Study of Fitness Landscapes in AutoML: The Impact of Dataset Complexity and Search Space Neutrality. BRACIS (1) Thiago França, Ricardo B. C. Prudêncio, Péricles B. C. Miranda
2025	B	`conf`	Active semi-supervised learning for multi-target regression. IJCNN Maira Farias Andrade Lira, Luisa Cavalcante, Celine Vens, Ricardo B. C. Prudêncio, Felipe Kenji Nakano
2025	J	`jnl`	Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory. CoRR Lucas F. F. Cardoso, Vitor C. A. Santos, José de Sousa Ribeiro Filho, Ricardo B. C. Prudêncio, Regiane Kawasaki, Ronnie Alves
2025	J	`jnl`	CLAIRE: clustering evaluation based on item response theory and model agreement. Mach. Learn. Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2025	—	`conf`	Classification with Reject Option: Building Meta-models to Predict Classification Error. BRACIS (1) Patricia S. M. Ueda, Maria Gabriela Valeriano, Arthur Dantas Mangussi, Ricardo B. C. Prudêncio, Ana Carolina Lorena
2025	J	`jnl`	Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness. CoRR Lucas F. F. Cardoso, Vitor C. A. Santos, José de S. Ribeiro, Regiane Kawasaki, Ricardo B. C. Prudêncio, Ronnie Alves
2025	B	`conf`	Exploring the Relation between Dataset Complexity and AutoML Fitness Landscape Metrics. IJCNN Thiago Rodrigues de França, Ricardo B. C. Prudêncio, Péricles B. C. Miranda
2024	B	`conf`	Assessor Models for Explaining Instance Hardness in Classification Problems. IJCNN Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano
2024	B	`conf`	Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder. IJCNN Maira Farias Andrade Lira, Elias Amancio Siqueira-Filho, Ricardo B. C. Prudêncio
2024	B	`conf`	Meta-Learning and Novelty Detection for Machine Learning with Reject Option. IJCNN Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2024	J	`jnl`	Towards explainable evaluation: Explaining predicted performance using local performance regions. Appl. Soft Comput. Patrícia Drapal, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2024	J	`jnl`	Trusting My Predictions: On the Value of Instance-Level Analysis. ACM Comput. Surv. Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio
2023	C	`conf`	Assessor Models with a Reject Option for Soccer Result Prediction. ICMLA Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota
2023	J	`jnl`	β CoRR Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrásio de A. Lima Neto, Ricardo B. C. Prudêncio
2022	B	`conf`	A Clustering-Based Method to Anomaly Detection in Thermal Power Plants. IJCNN Patrícia Drapal, Jullya Clemente, Dailys Maite Aliaga Reyes, Starch Melo de Souza, Anthony Lins, Ricardo B. C. Prudêncio
2022	J	`jnl`	A two-level Item Response Theory model to evaluate speech synthesis and recognition. Speech Commun. Chaina Santos Oliveira, João V. C. Moraes, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2022	J	`jnl`	Evaluating regression algorithms at the instance level using item response theory. Knowl. Based Syst. João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2022	—	`conf`	Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. BRACIS (1) Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2022	—	`conf`	Explanation-by-Example Based on Item Response Theory. BRACIS (1) Lucas F. F. Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
2022	J	`jnl`	Explanation-by-Example Based on Item Response Theory. CoRR Lucas F. F. Cardoso, José de S. Ribeiro, Vitor C. A. Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
2022	—	`conf`	Item Response Theory to Evaluate Speech Synthesis: Beyond Synthetic Speech Difficulty. EBeM@IJCAI Chaina Santos Oliveira, Ricardo B. C. Prudêncio
2022	J	`jnl`	Label noise detection under the noise at random model with ensemble filters. Intell. Data Anal. Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti
2022	—	`conf`	Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering. BRACIS (1) Thiago B. R. Silva, Nina I. Verslype, André C. A. Nascimento, Ricardo B. C. Prudêncio
2021	—	`conf`	A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment. SBES Mailton Carvalho, Flávia A. Barros, Ricardo B. C. Prudêncio
2021	J	`jnl`	Data vs classifiers, who wins? CoRR Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
2021	J	`jnl`	ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. Lucas V. Dias, Péricles B. C. Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio
2021	J	`jnl`	Label noise detection under the Noise at Random model with ensemble filters. CoRR Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti
2021	J	`jnl`	Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares
2020	B	`conf`	A Many-Objective optimization Approach for Complexity-based Data set Generation. CEC Thiago R. Fraça, Péricles B. C. Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento
2020	J	`jnl`	A novel context-free grammar for the generation of PSO algorithms. Nat. Comput. Péricles B. C. Miranda, Ricardo B. C. Prudêncio
2020	—	`conf`	Decoding Machine Learning Benchmarks. BRACIS (2) Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
2020	J	`jnl`	Decoding machine learning benchmarks. CoRR Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
2020	B	`conf`	Item Response Theory for Evaluating Regression Algorithms. IJCNN João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2020	A	`conf`	Item Response Theory to Estimate the Latent Ability of Speech Synthesizers. ECAI Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio
2020	—	`conf`	Measuring Instance Hardness Using Data Complexity Measures. BRACIS (2) José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena
2020	B	`conf`	One-Class Classification for Selecting Synthetic Datasets in Meta-Learning. IJCNN Regina R. Parente, Ricardo B. C. Prudêncio
2019	A	`conf`	$β^3$-IRT: A New Item Response Model and its Applications. AISTATS Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
2019	—	`conf`	A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
2019	J	`jnl`	CD-CARS: Cross-domain context-aware recommender systems. Expert Syst. Appl. Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz
2019	—	`conf`	Cost Sensitive Evaluation of Instance Hardness in Machine Learning. ECML/PKDD (2) Ricardo B. C. Prudêncio
2019	J	`jnl`	Item response theory in AI: Analysing machine learning classifiers at the instance level. Artif. Intell. Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo
2019	J	`jnl`	β CoRR Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
2018	—	`conf`	AVS: An approach to identifying and mitigating duplicate bug reports. SBSI Ivan Santos, Joelson Araújo, Cloves Lima, Ricardo B. C. Prudêncio, Flávia A. Barros
2018	J	`jnl`	Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks. New Gener. Comput. João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento
2018	J	`jnl`	Data complexity meta-features for regression problems. Mach. Learn. Ana Carolina Lorena, Aron I. Maciel, Péricles Barbosa C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio
2018	—	`conf`	Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction. BRACIS Alysson Bispo, Ricardo B. C. Prudêncio, Douglas Veras da Silva
2018	B	`conf`	Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors. IJCNN Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio
2017	Misc	`conf`	Aspect-Based Opinion Mining in Drug Reviews. EPIA Diana C. Cavalcanti, Ricardo B. C. Prudêncio
2017	J	`jnl`	Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming. Appl. Soft Comput. Péricles B. C. Miranda, Ricardo B. C. Prudêncio
2017	J	`jnl`	H3AD: A hybrid hyper-heuristic for algorithm design. Inf. Sci. Péricles B. C. Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa
2017	Misc	`conf`	Unsupervised Aspect Term Extraction in Online Drugs Reviews. FLAIRS Diana C. Cavalcanti, Ricardo B. C. Prudêncio
2016	—	`conf`	A Comparative Study of Group Profiling Techniques in Co-authorship Networks. BRACIS João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento
2016	—	`conf`	A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms. BRACIS Péricles B. C. Miranda, Ricardo B. C. Prudêncio
2016	J	`jnl`	A multiple kernel learning algorithm for drug-target interaction prediction. BMC Bioinform. André C. A. Nascimento, Ricardo B. C. Prudêncio, Ivan G. Costa
2016	J	`jnl`	A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio
2016	J	`jnl`	Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares
2016	A	`conf`	Making Sense of Item Response Theory in Machine Learning. ECAI Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo
2016	J	`jnl`	Progress in intelligent systems design. Neurocomputing Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
2016	J	`jnl`	Reframing in context: A systematic approach for model reuse in machine learning. AI Commun. José Hernández-Orallo, Adolfo Martínez Usó, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach, Chowdhury Farhan Ahmed, Nicolas Lachiche
2016	—	`conf`	Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms. BRACIS Péricles B. C. Miranda, Ricardo B. C. Prudêncio
2015	J	`jnl`	A literature review of recommender systems in the television domain. Expert Syst. Appl. Douglas Veras da Silva, Thiago Monteiro Prota, Alysson Bispo, Ricardo B. C. Prudêncio, Carlos Ferraz
2015	—	`conf`	Context-Aware Techniques for Cross-Domain Recommender Systems. BRACIS Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz, Alysson Bispo, Thiago Monteiro Prota
2015	B	`conf`	I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem. ESANN Péricles Barbosa C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
2015	—	`conf`	Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms. BRACIS Danilo C. G. de Lucena, Ricardo B. C. Prudêncio
2015	—	`conf`	Versatile Decision Trees for Learning Over Multiple Contexts. ECML/PKDD (1) Reem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach
2014	—	`conf`	A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection. BRACIS Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros
2014	B	`conf`	A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria. IJCNN Andre R. S. Lopes, Ricardo B. C. Prudêncio, Byron L. D. Bezerra
2014	B	`conf`	A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection. IEEE Congress on Evolutionary Computation Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros
2014	J	`jnl`	A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2014	B	`conf`	Fine-tuning of support vector machine parameters using racing algorithms. ESANN Péricles B. C. Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
2014	—	`conf`	Similarity Measures of Algorithm Performance for Cost-Sensitive Scenarios. MetaSel@ECAI Carlos Eduardo Castor de Melo, Ricardo B. C. Prudêncio
2013	B	`conf`	Active selection of training instances for a random forest meta-learner. IJCNN Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2013	B	`conf`	Active testing for SVM parameter selection. IJCNN Péricles B. C. Miranda, Ricardo B. C. Prudêncio
2013	C	`conf`	Group Profiling for Understanding Educational Social Networking. SEKE João Gomes, Ricardo B. C. Prudêncio, Luciano Meira, Alexandre Azevedo Filho, André C. A. Nascimento, Hilário Oliveira
2013	J	`jnl`	Proximity measures for link prediction based on temporal events. Expert Syst. Appl. Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio
2013	J	`jnl`	Search based constrained test case selection using execution effort. Expert Syst. Appl. Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros, Eduardo Henrique da Silva Aranha
2012	B	`conf`	Collective Classification for Sentiment Analysis in Social Networks. ICTAI Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros
2012	—	`conf`	Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2012	—	`conf`	Leveraging relationships in social networks for sentiment analysis. WebMedia Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros
2012	B	`conf`	Using link structure to infer opinions in social networks. SMC Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia de Almeida Barros