200 results on '"Fan, Min"'
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2. Semi-supervised regression via embedding space mapping and pseudo-label smearing.
3. ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection.
4. BSRU: boosting semi-supervised regressor through ramp-up unsupervised loss.
5. Microbial data augmentation combining feature extraction and transformer network.
6. Channel-augmented joint transformation for transferable adversarial attacks.
7. DD-Net: Dual Decoder Network With Curriculum Learning for Full Waveform Inversion.
8. Robust federated learning with voting and scaling.
9. A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion.
10. SAPD: Self-Attention Progressive Seismic Data Denoising.
11. Sample Topology Exploration for Label Distribution Learning.
12. Generative Label Enhancement with Gaussian Mixture and Partial Ranking.
13. Multi-instance embedding learning with deconfounded instance-level prediction.
14. STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network.
15. LSTC: When label-specific features meet third-order label correlations.
16. Long-tailed image recognition through balancing discriminant quality.
17. Self-dependence multi-label learning with double k for missing labels.
18. Noisy Supervised Deep Learning for Remote Sensing Image Segmentation Using Electronic Maps.
19. CAUC: Combining Channel Attention U-Net and Convolution for Seismic Data Resolution Improvement.
20. Label-dependent feature exploration for label distribution learning.
21. KGA: integrating KPCA and GAN for microbial data augmentation.
22. ERCP: speedup path planning through clustering and presearching.
23. Cost-sensitive microbial data augmentation through matrix factorization.
24. Seismic image super-resolution reconstruction through deep feature mining network.
25. Behavior imitation of individual board game players.
26. D2UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction.
27. Cost-Sensitive Active Learning for Incomplete Data.
28. Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective.
29. Safe co-training for semi-supervised regression.
30. Efficient high utility itemset mining without the join operation.
31. Self-supervised class-balanced active learning with uncertainty-mastery fusion.
32. Exploiting asymmetric influence between instances for label enhancement.
33. IUG-CF: Neural collaborative filtering with ideal user group labels.
34. Multisource data fusion for single-well production rate prediction.
35. Matrix factorization with a sigmoid-like loss control.
36. Individual entity induced label concept set for classification: An information fusion viewpoint.
37. SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields.
38. Swin Transformer for simultaneous denoising and interpolation of seismic data.
39. Improving the transferability of adversarial examples through neighborhood attribution.
40. Attention-to-Embedding Framework for Multi-instance Learning.
41. Multi-instance Embedding Learning Through High-level Instance Selection.
42. Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction.
43. Self-paced Safe Co-training for Regression.
44. 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification.
45. Multi-label Feature Extraction With Distance-Based Graph Attention Network.
46. Safe Multi-view Co-training for Semi-supervised Regression.
47. BRL: Learning behavior representations of Reversi players.
48. Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation.
49. Label Distribution Learning with Data Augmentation using Generative Adversarial Networks.
50. Semi-supervised Regression with Data Partitioning and Feature Mapping.
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