Essays about: "black box model interpretability"
Showing result 1 - 5 of 13 essays containing the words black box model interpretability.
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1. Developing a highly accurate, locally interpretable neural network for medical image analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. READ MORE
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2. GAN-Based Counterfactual Explanation on Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE
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3. Explainable AI by Training Introspection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Deep Neural Networks (DNNs) are known as black box algorithmsthat lack transparency and interpretability for humans. eXplainableArtificial Intelligence (XAI) is introduced to tackle this problem. MostXAI methods are utilized post-training, providing explanations of themodel to clarify its predictions and inner workings for human understanding. READ MORE
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4. Explainable Reinforcement Learning for Gameplay
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : State-of-the-art Machine Learning (ML) algorithms show impressive results for a myriad of applications. However, they operate as a sort of a black box: the decisions taken are not human-understandable. READ MORE
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5. Survivability Prediction and Analysis using Interpretable Machine Learning : A Study on Protecting Ships in Naval Electronic Warfare
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Computer simulation is a commonly applied technique for studying electronic warfare duels. This thesis aims to apply machine learning techniques to convert simulation output data into knowledge and insights regarding defensive actions for a ship facing multiple hostile missiles. READ MORE
