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1. Automatic generation of scientific papers for data augmentation in document layout analysis.

3. Scientific papers citation analysis using textual features and SMOTE resampling techniques.

4. Neural network based cognitive approaches from face perception with human performance benchmark.

5. Conditional Information Gain Trellis.

6. FDM: Document image seen-through removal via Fuzzy Diffusion Models.

8. A simple and efficient filter feature selection method via document-term matrix unitization.

12. HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments.

13. Deep motion estimation through adversarial learning for gait recognition.

14. Ensemble clustering via synchronized relabelling.

15. Learning to learn point signature for 3D shape geometry.

16. Global-local graph neural networks for node-classification.

17. Self-supervised learning with automatic data augmentation for enhancing representation.

18. Discovering the signal subgraph: An iterative screening approach on graphs.

19. Query-guided generalizable medical image segmentation.

20. Edge-preserving image restoration based on a weighted anisotropic diffusion model.

21. Structural self-similarity pattern in global food prices: Utilizing a segmented multifractal detrended fluctuation analysis.

22. Decoding class dynamics in learning with noisy labels.

23. Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks.

24. Neural ordinary differential equation for irregular human motion prediction.

25. Select & Enhance: Masked-based image enhancement through tree-search theory and deep reinforcement learning.

26. MOD-YOLO: Multispectral object detection based on transformer dual-stream YOLO.

27. Patch-based probabilistic identification of plant roots using convolutional neural networks.

28. A shared-private sentiment analysis approach based on cross-modal information interaction.

29. Adversarial regularized attributed network embedding for graph anomaly detection.

30. A three-stream fusion and self-differential attention network for multi-modal crowd counting.

31. Efficient label-free pruning and retraining for Text-VQA Transformers.

32. Segmentation assisted Prostate Cancer Grading with Multitask Collaborative Learning.

33. Manifold information through neighbor embedding projection for image retrieval.

34. Deepfake face discrimination based on self-attention mechanism.

35. Data-agnostic Face Image Synthesis Detection using Bayesian CNNs.

36. Decomposition via elastic-band transform.

37. Learning from feature and label spaces' bias for uncertainty-adaptive facial emotion recognition.

38. Topological optimization of continuous action iterated dilemma based on finite-time strategy using DQN.

39. Time to retire F1-binary score for action unit detection.

40. Attention-map augmentation for hypercomplex breast cancer classification.

41. Kreĭn twin support vector machines for imbalanced data classification.

42. Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy.

43. Enhancing mass spectrometry data analysis: A novel framework for calibration, outlier detection, and classification.

44. Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features.

45. Multi-layer encoder–decoder time-domain single channel speech separation.

46. A guided-based approach for deepfake detection: RGB-depth integration via features fusion.

47. Joint facial action unit recognition and self-supervised optical flow estimation.

48. Paired relation feature network for spatial relation recognition.

49. Uncovering the authorship: Linking media content to social user profiles.

50. Abductive natural language inference by interactive model with structural loss.