Publication
A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities
Fabrizio Nunnari; Daniel Sonntag
In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021), June 8-11, Eindhoven/Virtual, Netherlands, EICS '21, ISBN 9781450384490, Association for Computing Machinery, 2021.
Abstract
We describe the software architecture of a toolbox of reusable components for the configuration of convolutional neural networks (CNNs) for classification and labeling problems. The toolbox architecture has been designed to maximize the reuse of established algorithms and to include domain experts in the development and evaluation process across different projects and challenges. In addition, we implemented easy-to-edit input formats and modules for XAI (eXplainable AI) through visual inspection capabilities. The toolbox is available for the research community to implement applied artificial intelligence projects.
Projekte
pAItient - Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.,
Ophthalmo-AI - Intelligent, Cooperative Medical Decision Support in Ophthalmology
Ophthalmo-AI - Intelligent, Cooperative Medical Decision Support in Ophthalmology