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731 results on '"Outlier detection"'

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1. Impact of the Neighborhood Parameter on Outlier Detection Algorithms

2. Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers

3. Prostate Cancer Relapse Assessment Based on Optimised Outlier Detection

4. A Metaheuristic-Based Subspace Search Approach for Outlier Detection in High-Dimensional Data Streams

5. Towards an Approach to Multivariate Outlier Detection for District Heating System Data

6. Refining Gene Selection and Outlier Detection in Glioblastoma Based on a Consensus Approach for Regularized Survival Models

7. K Minimum Enclosing Balls for Outlier Detection

8. AcME-AD: Accelerated Model Explanations for Anomaly Detection

10. Detecting Outlier Segments in Uncertain Personal Trajectory Data

12. Few-Shot Learning with Fine-Tuned Language Model for Suicidal Text Detection

13. Local Community-Based Anomaly Detection in Graph Streams

14. Research on Alarm Cleaning and Outlier Detection Algorithms of Network Data Analysis

18. On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values

19. Outlier Detection of Slope Deformation Monitoring Data based on WMA-3σ

20. Finding Forensic Artefacts in Long-Term Frequency Band Occupancy Measurements Using Statistics and Machine Learning

21. Unsupervised Outlier Detection in Continuous Nonlinear Systems: Hybrid Approaches with Autoencoders and One-Class SVMs

22. Efficient Apriori Rank Pruning Model Based Novelty Detection with One-Class SVM IN Online Pharmaceutical Platforms

25. Analysis of Wind Turbine Operation Behavior Based on Clustering Algorithm

27. Trend and Methods of IoT Sequential Data Outlier Detection

28. Evaluation of Selected Autoencoders in the Context of End-User Experience Management

30. Detecting Software Vulnerabilities Based on Hierarchical Graph Attention Network

31. dSalmon: High-Speed Anomaly Detection for Evolving Multivariate Data Streams

32. Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm

33. Multi-kernel Times Series Outlier Detection

34. RECol: Reconstruction Error Columns for Outlier Detection

35. Outlier Detection Model Based on Autoencoder and Data Augmentation for High-Dimensional Sparse Data

36. Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline

37. Enabling PII Discovery in Textual Data via Outlier Detection

38. RODD: Robust Outlier Detection in Data Cubes

39. Robust Response Transformations for Generalized Additive Models via Additivity and Variance Stabilization

40. A Survey of Statistical, Machine Learning, and Deep Learning-Based Anomaly Detection Techniques for Time Series

41. A Comparison of Methods for Automatic Outlier Detection in Ergospirometric Data and Their Effect on the Performance of Predictive Models

44. Outlier Detection Under False Omission Rate Control

45. Towards an Optimization Model for Outlier Detection in IoT-Enabled Smart Cities

46. Deep Learning SPIN Pattern Outlier Detection for Integrated Dynamic Rotary Machine

48. Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles

49. An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier

50. Data-Driven Energy Efficiency Evaluation and Energy Anomaly Detection of Multi-type Enterprises Based on Energy Consumption Big Data Mining

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