Ricardo B. C. Prudêncio

Universidade Federal de Pernambuco — Brazil

Computer Science · Physical Sciences

24h-index2.3kcitations150works0.72yr avg
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Research Topics

Machine Learning and Data Classification(59), Machine Learning and Algorithms(23), Metaheuristic Optimization Algorithms Research(16), Software Testing and Debugging Techniques(15), Imbalanced Data Classification Techniques(15)

Publications150 total

CLAIRE: clustering evaluation based on item response theory and model agreement
Machine Learning·2025
Novel applications of item response theory for analysing data set complexity and benchmark selection
Machine Learning·2025
Active semi-supervised learning for multi-target regression
2025
An item response theory framework to evaluate automatic speech recognition systems against speech difficulty
Computer Speech & Language·2025
Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
arXiv (Cornell University)·2025Open Access
Optimizing Climate Forecasting Via Reduced Time Series from Change Point Detection Methods
SSRN Electronic Journal·2025Open Access
Assessor Models for Predicting and Explaining Aleatoric Uncertainty in Classification
2024Open Access
Explainable Machine Learning Techniques for Criticality Prediction of Software Change Requests
2024Open Access
Towards explainable evaluation: Explaining predicted performance using local performance regions
Applied Soft Computing·2024· 3 cited
Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
2024
Meta-Learning and Novelty Detection for Machine Learning with Reject Option
2024· 2 cited
Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines
2024· 2 cited
Assessor Models for Explaining Instance Hardness in Classification Problems
2024· 3 cited
Data and Classifiers: Two Sides of the Same Coin
SSRN Electronic Journal·2024Open Access
Assessor Models with a Reject Option for Soccer Result Prediction
2023· 2 cited
Machine Learning Techniques for Escaped Defect Analysis in Software Testing
2023· 1 cited
Decision Threshold Selection and Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
2023Open Access
Assessor Models with Reject Option for soccer result prediction
2023· 2 citedOpen Access
Trusting My Predictions: On the Value of Instance-Level Analysis
ACM Computing Surveys·2023· 24 cited
Recognition of static or dynamic LIBRAS words in complex background environments
2023· 1 cited
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Frequent Co-authors

Teresa B. Ludermir(13), Péricles Miranda(11), Carlos Soares(8), André C. P. L. F. de Carvalho(6), Flávia Barros(6), Ivan G. Costa(5), Luciano S. de Souza(5), André Nascimento(3), Marcílio C. P. de Souto(3), Adolfo Martínez-Usó(3), José Hernández‐Orallo(3), Ana Carolina Lorena(3), Fernando Martínez‐Plumed(2), Douglas Véras(2), Carlos Ferraz(2), Diana C. Cavalcanti(2), Juliano Rabelo(2), Flávia A. Barros(2), Taciana A.F. Gomes(1), André Luis Debiaso Rossi(1)