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Acoustic sensor based activity recognition using ensemble of one-class classifiers.

, , and . EAIS, page 1-7. IEEE, (2015)

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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)DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer., , and . CoRR, (2024)Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation., and . TENCON, page 574-579. IEEE, (2021)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)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)Analysis of evolving social network: methods and results from cell phone dataset case study., and . IJSNM, 1 (3/4): 254-279 (2013)An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems., and . SSCI, page 342-349. IEEE, (2018)