A comparative study on concept drift detectors PM Gonçalves Jr, SGT de Carvalho Santos, RSM Barros, DCL Vieira Expert Systems with Applications 41 (18), 8144-8156, 2014 | 239 | 2014 |
RDDM: Reactive drift detection method RSM Barros, DRL Cabral, PM Gonçalves Jr, SGTC Santos Expert Systems with Applications 90, 344-355, 2017 | 225 | 2017 |
A large-scale comparison of concept drift detectors RSM Barros, SGTC Santos Information Sciences 451, 348-370, 2018 | 194 | 2018 |
An overview and comprehensive comparison of ensembles for concept drift RSM de Barros, SGT de Carvalho Santos Information Fusion 52, 213-244, 2019 | 99 | 2019 |
A boosting-like online learning ensemble RSM de Barros, SGT de Carvalho Santos, PMG Júnior 2016 International Joint Conference on Neural Networks (IJCNN), 1871-1878, 2016 | 78 | 2016 |
A lightweight concept drift detection ensemble BIF Maciel, SGTC Santos, RSM Barros 2015 IEEE 27th International Conference on Tools with Artificial …, 2015 | 73 | 2015 |
Speeding up recovery from concept drifts SGTC Santos, PM Gonçalves Júnior, GDS Silva, RSM de Barros Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 66 | 2014 |
Online adaboost-based methods for multiclass problems SGTC Santos, RSM de Barros Artificial Intelligence Review 53 (2), 1293-1322, 2020 | 51 | 2020 |
A differential evolution based method for tuning concept drift detectors in data streams SGTC Santos, RSM Barros, PM Gonçalves Jr Information Sciences 485, 376-393, 2019 | 34 | 2019 |
Optimizing the parameters of drift detection methods using a genetic algorithm SGTC Santos, RSM Barros, PMG Júnior 2015 IEEE 27th International Conference on Tools with Artificial …, 2015 | 28 | 2015 |
MOAManager: A tool to support data stream experiments BIF Maciel, SGTC Santos, RSM Barros Software: Practice and Experience 50 (4), 325-334, 2020 | 15 | 2020 |
Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift JIG Hidalgo, SGTC Santos, RSM Barros ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (2), 1-20, 2021 | 12 | 2021 |
Spectral analysis and optimization of the condition number problem HAC Cardoso, S de Barros Melo, RM de Abreu Silva, SAL de Carvalho, ... Computer Physics Communications 258, 107587, 2021 | 6 | 2021 |
Evaluating k-NN in the Classification of Data Streams with Concept Drift RSM de Barros, SGTC Santos, JP Barddal arXiv preprint arXiv:2210.03119, 2022 | 3 | 2022 |
Statistical tests ensemble drift detector JLM Pérez, RSM Barros, SGTC Santos 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1021-1028, 2020 | 3 | 2020 |
Paired k-NN learners with dynamically adjusted number of neighbors for classification of drifting data streams JIG Hidalgo, SGTC Santos, RSM de Barros Knowledge and Information Systems 65 (4), 1787-1816, 2023 | 2 | 2023 |
Experimenting with Supervised Drift Detectors in Semi-supervised Learning JLM Pérez, RSM de Barros, SGT de Carvalho Santos 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 730-735, 2023 | 1 | 2023 |
Quantifying Webpage Performance: A Comparative Analysis of TCP/IP and QUIC Communication Protocols for Improved Efficiency TCC Nepomuceno, KTC Nepomuceno, FC da Silva, ... Data 8 (8), 134, 2023 | 1 | 2023 |
Online boosting para problemas multiclasse SGTC SANTOS Universidade Federal de Pernambuco, 2019 | 1 | 2019 |
Features and Classes Drift Detector to Deal with Imbalanced Data Streams SGT de Carvalho Santos, DRDL Cabral, RSM de Barros 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 717-722, 2023 | | 2023 |