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2. Exploiting unlabelled data for relation extraction

3. Predicting Financial Literacy via Semi-supervised Learning

4. AT-ST: Self-training Adaptation Strategy for OCR in Domains with Limited Transcriptions

5. Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams

6. RESEARCH ON THE GEOLOGICAL ENTITIES BUSINESS RELATION EXTRACTION BASED ON THE BOOTSTRAPPING METHOD.

7. Integrating contextual information into multi-class classification to improve the context-aware recommendation.

8. HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabeled Data in Internet of Things

9. Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints

10. Context Aware Data Fusion on Massive IOT Data in Dynamic IOT Analytics.

11. Microarray Breast Cancer Data Clustering Using Map Reduce Based K-Means Algorithm.

12. Semisupervised inference for explained variance in high dimensional linear regression and its applications.

13. Clustering

14. Introduction to Data Mining

17. Ising Bandits with Side Information

18. Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training

19. Semi-supervised Learning Using an Unsupervised Atlas

20. Text Quantification

21. The T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability Samples

23. Fast and Adaptive Deep Fusion Learning for Detecting Visual Objects

24. A Unifying Theory of Active Discovery and Learning

25. Multimodal CSI-Based Human Activity Recognition Using GANs

27. Stream-Based Active Unusual Event Detection

28. Active learning combining uncertainty and diversity for multi‐class image classification

29. Low‐rank representation for semi‐supervised software defect prediction.

30. Learning with Missing or Incomplete Data

31. Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics

32. A Study of Semi-supervised Generative Ensembles

34. Semi-supervised PCA-Based Face Recognition Using Self-training

36. An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk

37. Semi-supervised Kernel Regression Using Whitened Function Classes

38. Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm

42. Knowledge-maximized ensemble algorithm for different types of concept drift.

44. Context Aware Data Fusion on Massive IOT Data in Dynamic IOT Analytics

45. Profile generation system using artificial intelligence for information recovery and analysis

46. Improving supervised wind power forecasting models using extended numerical weather variables and unlabelled data.

47. Machine Learning Based Clustering of COVID-19 Symptoms

48. Semi-supervised Domain Adaptation via adversarial training

49. A Semi-Supervised Deep Learning Approach for the Classification of Steel Surface Defects

50. Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring

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