Towards Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems

Author:

Gomaa Amr1ORCID,Feld Michael2ORCID

Affiliation:

1. German Research Center for Artificial Intelligence (DFKI), Germany and Saarland Informatics Campus\t, Germany

2. German Research Center for Artificial Intelligence (DFKI), Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Reference56 articles.

1. Heike Adel. 2018. Deep learning methods for knowledge base population. Ph. D. Dissertation. LMU. Heike Adel. 2018. Deep learning methods for knowledge base population. Ph. D. Dissertation. LMU.

2. You Have a Point There

3. Abdul Rafey Aftab , Michael Von Der Beeck , Steven Rohrhirsch , Benoit Diotte , and Michael Feld . 2021 . Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects. In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1108–1115 . Abdul Rafey Aftab, Michael Von Der Beeck, Steven Rohrhirsch, Benoit Diotte, and Michael Feld. 2021. Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects. In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1108–1115.

4. Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

5. Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification

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