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The research on explainable deep learning can enhance the capabilities for AI-assisted diagnosis by integrating with large-scale medical systems, providing an effective and interactive way to promote medical intelligence. Different from common explainable deep learning methods, the deep learning explanation ...
A library for graph deep learning research deep-learninggraph-generationexplainable-mlself-supervised-learning3d-graphgraph-neural-network UpdatedJul 15, 2024 Python Trusted-AI/AIX360 Star1.7k Code Issues Pull requests Interpretability and explainability of data and machine learning models ...
Explainable AI: A Brief Survey on History, Research Areas, Approaches and ChallengesExplainable artificial intelligenceIntelligible machine learningExplainable interfacesXAIInterpretabilityDeep learning has made significant contribution to the recent progress in artificial intelligence. In comparison to traditional ...
Additionally, 5% of his time was dedicated to Research and Development. As of now, he is working as a Senior Data Scientist at IFC-the world Bank Group. Topics Artificial Intelligence Machine Learning Zoumana Keita A data scientist who likes to write and share knowledge with the data and IA...
Aneta is the coauthor of more than 40 refereed publications on software engineering and AI topics and is a coinventor of over 50 patent families. Before joining Ericsson Research, Aneta was a scientist at ABB Corporate Research. Her PhD in computer science from Mälardalen University focused on...
XAI is the method of making AI decision-making processes understandable and accessible to human users.
Explainable AI approach versus todays’ classifier models in a nutshell. Full size image There are various (recent) research efforts conducted to address the explainability of the already existing machine learning classifier models. In37, researchers efficiently extended the use of a convolutional neural...
Background, Motivation, Topics Recently, scientific discourse in artificial intelligence and data science has focused on explainable AI (XAI) with respect to algorithmic transparency, interpretability, accountability and finally explainability of algorithmic models and decisions. In machine learning, data mini...