Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification.
Matteo BianchiAntonio De SantisAndrea TocchettiMarco BrambillaPublished in: CoRR (2024)
Keyphrases
- image classification
- post hoc
- visual features
- feature extraction
- peer to peer
- network model
- network traffic
- computer networks
- complex networks
- human subjects
- image representation
- network topologies
- feedback loop
- human interaction
- network architecture
- data sets
- text classification
- image features
- video sequences
- social networks
- neural network