Explainable machine learning in image classification models: An uncertainty quantification perspective
Xiaoge Zhang, Felix T.S. Chan, Sankaran Mahadevan
Topics & Concepts
Computer scienceArtificial intelligenceMachine learningRobustness (evolution)Leverage (statistics)Dropout (neural networks)Artificial neural networkFeature engineeringDeep learningUncertainty quantificationMNIST databaseBayesian probabilityFeature (linguistics)Data miningPattern recognition (psychology)LinguisticsPhilosophyChemistryBiochemistryGeneExplainable Artificial Intelligence (XAI)Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications