Clustering
2023
Y. Cai, Z. Zhang, P. Ghamisi, Z. Cai, X. Liu, and Y. Ding (2023) Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Transactions on Intelligent Systems and Technology, 2023-01-09. (more) (download)
H. Martin, N. Wiedemann, D. J. Reck, and M. Raubal (2023) Graph-Based Mobility Profiling. Computers, Environment and Urban Systems, 100, 101910, 2023-01-03. (more) (download)
2022
L. E. La Rosa, D. A. Oliveira, and P. Ghamisi (2022) Learning Crop Type Mapping from Regional Label Proportions in Large-Scale SAR and Optical Imagery. arXiv:2208.11607, 2022-08-24. (more) (download)
2021
K. Rafiezadehshahi, P. Ghamisi, B. Rasti, P. Scheunders, and R. Gloaguen (2021) Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-12-06. (more) (download)
Y. Hong, Y. Xin, H. Martin, D. Bucher, and M. Raubal (2021) A Clustering-Based Framework for Individual Travel Behaviour Change Detection. Leibniz International Proceedings in Informatics (LIPIcs), 11th International Conference on Geographic Information Science (GIScience) – Part 2, 4, 1-15, 2021-09-14. (more) (download)