Latest Research in Explainable Artificial Intelligence (XAI)

Top Research Topics in Explainable Artificial Intelligence (XAI)

• Remote-Sensing Image Classification — 10 papers
• Computer Vision and Pattern Recognition — 6 papers
• Explainable Artificial Intelligence (XAI) — 2 papers
• Neural dynamics and brain function — 1 papers

Highest-Cited Papers

1. Which Backbone Picks Which Wordification? A Factorial Study of Topic-Model Families on Hyperspectral Imagery (24 citations)
2. Post-hoc Interpretability of LDA on Hyperspectral Imagery: SHAP Attributions, Counterfactual Topic Flips, and LLM-judge Alignment under Token-Mass-Dispersion Asymmetry (25 citations)
3. Post-hoc Interpretability of LDA on Hyperspectral Imagery: SHAP Attributions, Counterfactual Topic Flips, and LLM-judge Alignment under Token-Mass-Dispersion Asymmetry (25 citations)
4. Label-Free Degradation Diagnosis for Classifier Selection in Hyperspectral Scenes
5. Dimensionality Reduction based Convolutional Network for Hyperspectral Target Detection
6. Dual-Stream Spatial–Spectral Network with Nested Attention for Hyperspectral Image Classification
7. Dimensionality Reduction based Convolutional Network for Hyperspectral Target Detection
8. Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification
9. A Reliability-Aware Cross-Branch Contrastive Graph Convolutional Network for Hyperspectral Image Processing
10. Noise-Adjusted Feature Extraction for Deep Learning-Based Classification of Hyperspectral Imagery
11. Continuous Cross-Modal Vector Field Learning for Hyperspectral and LiDAR Land-Cover Classification
12. Interpretable Hyperspectral Unmixing Framework with Fixed Endmember Prior and Structured Residual Refinement
13. AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification
14. Agentic Multimodal Models for Environmental Hyperspectral Unmixing
15. Explainable Superpixel-Guided Graph Vision Transformer for Hyperspectral Image Analysis
16. HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
17. MSSARN - multi-layer spectral-spatial attention based residual network for HSI classification
18. Semantics-Aware Hierarchical Consensus Learning for Remote Sensing Image Classification
19. Hyperspectral image classification using fractional meerkat optimization algorithm based 3D convolutional residual spectral–spatial attention network