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2. Density-based clustering with fully-convolutional networks for crowd flow detection from drones

3. VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

4. A Bayesian Interpretation of Fuzzy C-Means

6. Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations

7. Connections Between Granular Counts and Twofold Fuzzy Sets

9. Designing Interpretable Fuzzy Systems

13. An Overview of Fuzzy Systems

18. Possibilistic Bounds for Granular Counting

19. Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images

20. VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

21. Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks

23. Looking at the Branches and Roots

24. Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling : Tutorial

25. Enhancing the DISSFCM Algorithm for Data Stream Classification

35. A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field

40. VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

41. Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations

42. Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations

43. A System for Fuzzy Granulation of OWL Ontologies

45. Managing NGS Differential Expression Uncertainty with Fuzzy Sets

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