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Schreiber, Andreas and Bock, Marcel (2019) Visualization and Exploration of Deep Learning Networks in 3D and Virtual Reality. In: 21st International Conference on Human-Computer Interaction, HCI International 2019, 1033. Springer, Cham. HCI International 2019, 2019-07-26 - 2019-07-31, Orlando, FL, USA. doi: 10.1007/978-3-030-23528-4_29. ISBN 978-3-030-23527-7.
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Official URL: https://link.springer.com/chapter/10.1007/978-3-030-23528-4_29
Abstract
Understanding of artificial intelligence (AI) systems becomes more important as their use cases in real-world applications growth. Today’s AI systems are increasingly complex and ubiquitous. They will be responsible for making decisions that directly affect individuals. Explainable AI can potentially help by explaining actions, decisions and behaviours of AI systems to users. Our approach is to provide a tool with an interactive user interface in 3D. The tool visualizes deep learning network layers and allows interactive exploration on different levels of detail. The visualization then improves transparency and opacity of AI systems for experts and non-experts.
| Item URL in elib: | https://elib.dlr.de/128477/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
| Title: | Visualization and Exploration of Deep Learning Networks in 3D and Virtual Reality | ||||||||||||
| Authors: |
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| Date: | 6 July 2019 | ||||||||||||
| Journal or Publication Title: | 21st International Conference on Human-Computer Interaction, HCI International 2019 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Volume: | 1033 | ||||||||||||
| DOI: | 10.1007/978-3-030-23528-4_29 | ||||||||||||
| Editors: |
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| Publisher: | Springer, Cham | ||||||||||||
| Series Name: | Communications in Computer and Information Science | ||||||||||||
| ISBN: | 978-3-030-23527-7 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | explainable artificial intelligence, deep learning, interpretable machine learning, interactive exploration, visualization | ||||||||||||
| Event Title: | HCI International 2019 | ||||||||||||
| Event Location: | Orlando, FL, USA | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 26 July 2019 | ||||||||||||
| Event End Date: | 31 July 2019 | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||
| DLR - Research theme (Project): | R - Vorhaben SISTEC (old) | ||||||||||||
| Location: | Köln-Porz | ||||||||||||
| Institutes and Institutions: | Institut of Simulation and Software Technology > Distributed Systems and Component Software Institut of Simulation and Software Technology | ||||||||||||
| Deposited By: | Schreiber, Andreas | ||||||||||||
| Deposited On: | 23 Jul 2019 10:05 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:32 |
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