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2. An Economic Model Processing Noise Method Based on Clustering in the Post-Epidemic Era

3. Comparative Analysis of Generic Outlier Detection Techniques

4. Abnormal Transaction Node Detection on Bitcoin

5. Combined Processing of Outlier and Multipath in GNSS Precise Point Positioning

7. A Novel Noise Clustering Based on Local Outlier Factor

8. Detecting Anomalies in Multidimensional Time Series Using Binary Classification

13. An Ensemble Deep Closest Count and Density Peak Clustering Technique for Intrusion Detection System for Cloud Computing

15. Hierarchical Learning of Outliers

16. Detecting Anomalies in Marine Data: A Framework for Time Series Analysis

18. An Evolutionary Stream Clustering Technique Outlier Detection in Medical Data

20. Outlier Constrained Unsupervised Domain Adaptation Algorithm for Gaze Estimation

22. Cluster-Based Probabilistic Neural Networks for Outlier Detection Via Autoencoder Variants

23. DRN: Detection and Removal of Noisy Instances with Self Organizing Map

28. Conclusion

29. Interpolation Problem on Outlier Contaminated Seismogram Using Extreme Learning Machine

30. Top-Rank Learning Robust to Outliers

31. Auto-encoder—LSTM-Based Outlier Detection Method for WSNs

33. An Evolutionary Approach for Solving the Minimum Volume Ellipsoid Estimator Problem

34. An Optimized Multilayer Outlier Detection for Internet of Things (IoT) Network as Industry 4.0 Automation and Data Exchange

35. Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction

36. Regression

40. A Deep Neural Network Classifier Based on Belief Theory

41. Optimization of LSTM Algorithm Through Outliers – Application to Financial Time Series Forecasting

42. Identifying and Removing Outlier Features Using Neighborhood Rough Set

43. Constructing Multivariate Distributions via the Dirichlet Generator

45. A Study of Modeling Techniques for Prediction of Wine Quality

46. An Efficient Outlier Detection Mechanism for RFID-Sensor Integrated MANET

47. A Novel Cleaning Method for Yield Data Collected by Sensors: A Case Study on Winter Cereals

48. Deep Reconstruction Error Based Unsupervised Outlier Detection in Time-Series

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