A Flexible Metric-Based Approach to Assess Neural Network Interpretability in Image Classification.
Andrea ColomboLaura FiorenzaSofia MongardiPublished in: XAI.it@AI*IA (2023)
Keyphrases
- image classification
- neural network
- bag of words
- feature extraction
- neural network model
- image representation
- back propagation
- visual features
- prediction accuracy
- visual words
- recurrent neural networks
- bp neural network
- neural nets
- bag of features
- feed forward neural networks
- image features
- pattern recognition
- multi layer
- network architecture
- multi layer perceptron
- metric space
- learning vector quantization
- self organizing maps
- fault diagnosis
- fuzzy logic
- artificial neural networks
- image processing
- genetic algorithm
- distance metric
- data sets
- prediction model
- associative memory
- sparse representation
- object detection
- fuzzy neural network
- similarity metric
- object recognition
- support vector
- image reconstruction from projections