150 results on '"Paoletti, Mercedes E."'
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2. Federated learning meets remote sensing
3. Orthogonal projection for anomaly detection in networking datasets
4. CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection
5. Heterogeneous gradient computing optimization for scalable deep neural networks
6. Hashing for Retrieving Long-tailed Distributed Remote Sensing Images
7. An Abundance-Guided Attention Network for Hyperspectral Unmixing
8. Heterogeneous model parallelism for deep neural networks
9. Training deep neural networks: a static load balancing approach
10. Scalable recurrent neural network for hyperspectral image classification
11. Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection.
12. Detection of cerebral ischaemia using transfer learning techniques
13. Hash-Based Remote Sensing Image Retrieval
14. Enhancing Distributed Neural Network Training Through Node-Based Communications
15. Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval
16. Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification
17. QCircularStats: A QGIS-Plugin for Evaluation Bidimensional Data by Circular Statistics
18. Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification
19. AAtt-CNN: Automatical Attention-based Convolutional Neural Networks for Hyperspectral Image Classification
20. A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification
21. Background-Guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection
22. Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation.
23. Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
24. Machine Learning in Pansharpening: A benchmark, from shallow to deep networks
25. PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis
26. Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats
27. Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
28. GPU-Friendly Neural Networks for Remote Sensing Scene Classification
29. Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification
30. Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification
31. A New Deep Convolutional Network for Effective Hyperspectral Unmixing
32. Separable Attention Network in Single- and Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images
33. Fast Orthogonal Projection for Hyperspectral Unmixing
34. Endmember Estimation From Hyperspectral Images Using Geometric Distances
35. Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution
36. Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing
37. Ghostnet for Hyperspectral Image Classification
38. Adaptable Convolutional Network for Hyperspectral Image Classification
39. Distributed Deep Learning for Remote Sensing Data Interpretation
40. FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification
41. <monospace>AAtt-CNN</monospace>: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification
42. A Recommendation System for Electronic Health Records in the Context of the HOPE Project
43. Endmember Estimation with Maximum Distance Analysis
44. Morphological Convolutional Neural Networks for Hyperspectral Image Classification
45. Analysis of Remotely Sensed Images Through Social Media
46. SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification
47. Cloud Implementation of Multinomial Logistic Regression for UAV Hyperspectral Images
48. Training Capsnets via Active Learning for Hyperspectral Image Classification
49. Neighboring Region Dropout for Hyperspectral Image Classification
50. A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification
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