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Anomaly detection in data streams based on graph coloring density coefficients.

, and . SSCI, page 1-7. IEEE, (2016)

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Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application., , and . SSCI, page 1681-1686. IEEE, (2015)Anomaly detection in data streams based on graph coloring density coefficients., and . SSCI, page 1-7. IEEE, (2016)EZeeCom: enabling spontaneous social interactions over mobile ad hoc networks., and . IWCMC, page 559-564. ACM, (2007)Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction., and . AALTD@ECML/PKDD, volume 14343 of Lecture Notes in Computer Science, page 243-259. Springer, (2023)Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation., and . TENCON, page 574-579. IEEE, (2021)Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks., , and . CinC, page 1-4. IEEE, (2020)A Reward and Penalty Based Approach for Online Feature Selection., , and . CYBCONF, page 1-6. IEEE, (2017)Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier., and . FUZZ-IEEE, page 1-6. IEEE, (2017)Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation., and . FUZZ-IEEE, page 1-6. IEEE, (2019)An immune-inspired online feature selection mechanism., , and . SMC, page 2123-2128. IEEE, (2017)