Diagnostics | Free Full-Text | Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network
Richard Quest shows his love for e-scooters, speaks to Lime CEO | CNN
Explainable AI: interpreting the classification using LIME - File Exchange - MATLAB Central
Chapter 10 Convolutional neural networks | Supervised Machine Learning for Text Analysis in R
Lime pulls its scooters out of 12 markets and lays off staff | CNN Business
Lime yanks some of its scooters off the streets because they can catch fire | CNN Business
Basic XAI with LIME for CNN Models | by Sahil Ahuja | DataDrivenInvestor
Interpreting Neural Networks for Medical Imaging — Alexandru Socolov
LIME: Explain Keras Image Classification Network (CNN) Predictions
6 – Interpretability – Machine Learning Blog | ML@CMU | Carnegie Mellon University
GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
Comparison of LIMEs for the Correct AI-based classification of... | Download Scientific Diagram
MAKE | Free Full-Text | An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME
python - How to use a 1D-CNN model in Lime? - Stack Overflow
Lime CEO addresses latest layoffs | CNN Business
Lime CEO: We don't know enough about female riders | CNN Business
LIME: Explain Keras Image Classification Network (CNN) Predictions
LIME and Multi-input CNN model · Issue #317 · marcotcr/lime · GitHub
Basic XAI with LIME for CNN Models | by Sahil Ahuja | DataDrivenInvestor
LIME: Explain Keras Image Classification Network (CNN) Predictions
Lime is under fire from a supplier over reports of broken scooters | CNN Business
GitHub - srth21/Explainable-ML-CNN-with-MNIST: Building a CNN using Tensorflow for MNIST and then getting the corresponding explanations for the outputs using LIME.
Local model interpretations generated by LIME explainer for CNN model... | Download Scientific Diagram
Diagnostics | Free Full-Text | Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network
An Interpretable Convolutional Neural Network Framework for Analyzing Molecular Dynamics Trajectories: a Case Study on Functional States for G-Protein-Coupled Receptors | Journal of Chemical Information and Modeling
