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This book presents a selection of papers from the industrial track of ISMIS 2020. The selection emphasizes broad applicability of artificial intelligence (AI) technologies in various industrial fields. The aim of the book is to fertilize preliminary ideas of readers on the application of AI by means of already successfully implemented application examples. Furthermore, the development of new ideas and concepts shall be motivated by the variety of different application examples. The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings. This broad spectrum gives readers working in the industrial as well as the academic field a good overview of the state of the art in the field of methodologies for intelligent systems.
List of contents
Part I: Applications in the Automotive and Transport Sector.- Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives?.- Attempt to better trust classification models: Application to the Ageing of Refrigerated Transport Vehicles.- Part II: Perspectives on Artificial Learning.- Automatic Stopwords Identification from Very Small Corpora.- BacAnalytics: A Tool to Support Secondary School Examination inFrance.- Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches.- The Impact of Supercategory Inclusion on Semantic Classifier Performance.- Recognition of the Flue Pipe Type Using Deep Learning.- Part III: Industrial Applications.- Adaptive Autonomous Machines - Modeling and Architecture?.- Automated completion of partial configurations as a diagnosis task Using FastDiag to improve performance.- Exploring configurator users' motivational drivers for digital social interaction.- Impact of the Application of Artificial IntelligenceTechnologies in a Content Management System of a Media.- A Conversion of Feature Models into an Executable Representation in Microsoft Excel.- Part IV: Basic Research and Algorithmic Problems.- Explainable Artificial Intelligence. Model Discovery with Constraint Programming.- Deep Distributional Temporal Di erence Learning for Game Playing.
