Published May 13, 2025
UR-AI2023 : The Upper-Rhine Artificial Intelligence Symposium : Artificial Intelligence for Time Series, Robotics and Beyond

The 5th "Upper Rhine Artificial Intelligence Symposium" (URAI) took place on 17.11.23 at ENSISA in cooperation with IRIMAS (Institut de Recherche en Informatique, Mathématiques, Automatique et Signal) of the Université de Haute-Alsace. It was preceded on 16.11.23 by an autumn school for students of TriRhenaTech partner institutions.

The symposium highlighted current applications of artificial intelligence in cooperation with industrial and scientific partners. The motto of the URAI 2023 event was AI for time series, robotics and beyond.

Topics included, but were not limited to : image and scene understanding, natural language processing, machine learning, data mining, reasoning, efficient computing, deployment and operation of AI systems, architectures for AI, AI in and for education, social and ethical impact, applications of AI in various fields.

Website: https://urai2023.sciencesconf.org/

Full Issue
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Keynotes

Benazouz Bradaï
1
Keynote 1 : Towards Autonomous Vehicles : how AI is driving the mobility revolution?
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Richard Arning
38
Keynote 2 : AI in the Contemporary and Future Battlefield: Revolutionizing Defense
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Gernot Meier
77
Keynote 3 : You have to ask the right questions!
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AI for Time Series

Javidan Abdullayev, Maxime Devanne, Jonathan Weber, Germain Forestier
3-10
Knowledge Distillation for Robotics Time Series Classification
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Jonas Hansert
11-20
Combining Variational Autoencoder and Recurrent Neural Networks for Generic Human Motion Prediction
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Oscar Villegas Mier, Willi Haag, Raghavakrishna Devineni, Guillerme Carraro Carella, Rainer Gasper, Jens Pfafferott, Michael Schmidt
21-30
Machine learning-based models for self-learning indoor heat warning systems in households
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Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
31-37
Reducing Complexity of Deep Learning for Time Series Classification Using New Hand-Crafted Convolution Filters
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AI for Robotics

D˘anut¸-Vasile Giurgi, Mihreteab Negash Geletu, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger, Mengesha Mamo Wogari
40-49
Intelligent vehicles semantic segmentation using evidential deep learning
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Katrin-Misel Ponomarjova, Thomas M. Wendt, Anke Fischer-Janzen, Sinan Süme, Bastian Kayser
50-58
Enhancing Independence through Intelligent Robotics: An AI-Driven Assistive Robotics Interface
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Vivienne Jia Zhong, Phillip Gachnang, Theresa Schmiedel
59-67
Design of a Robotic Therapy Companion from a Value-Sensitive and Technical Perspective
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Lo¨ıc Mosser, Laurent Barbé, Lennart Rubbert, Pierre Renaud
68-76
Using deep learning models to accelerate the design of soft robots with genetic algorithms
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Other and General Topics

Saptadi Nugroho, Prabin Dahal, Gisela Hillenbrand, Katrin Bauer, Teresa Sedlmeier, Daniela Schlemmer, Claudia Schmidt, Volker Sänger
79-88
From LMS to LXP Extending Moodle with AI-based Recommendations for Learning
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Reinhard Bauer, Tyler Marangi
89-98
Automated Machine Learning for Business Decision Simulation
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Yacine Belguermi, Gilles Hermann, Patrice Wira
99-107
Investigating Learning Transferability and Deployment for Neural NILM Strategies
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Gandorj Darambazar, Ali Moukadem, Bruno Colicchio, Patrice Wira
108-117
Applying Machine Learning Algorithms for Classifying Time-Frequency Failures in Power Grid Systems
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Robin Tenscher-Philipp, Tim Schanz, Martin Simon
118-127
AI-Based CT Data Pipeline
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Mohammed Arebi
128-133
Road Extraction and Routing from Satellite Imagery by Image Segmentation using Deep Learning
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Robin Weitemeyer, Jun Ma, Yu Cao, Sinan Sen, Jens Beyer, Lena Kölmel
134-142
Discovery: an Explainable AI Powered Academic Search Engine for Knowledge Workers
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Posters Session

Daniel Ladwig, Bianca Lamm, Janis Keuper
144-151
Fine-Grained Product Classification on Leaflet Advertisements
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Elvin Ismayilzada, Maxime Devanne, Jonathan Weber, Germain Forestier
152-158
Time Series Extrinsic Regression for Physical Rehabilitation Assessment
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Deniz Braun, Niclas Zeller
159-161
Evaluation and Improvement of State-of-the-art RADAR Object Detection Networks
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Yannick Rauch, Nico Drobe, Tuyen Nguyen, Reiner Kriesten
162-173
Development of an AI-based Energy Prediction for Electric Vehicles
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Simone Braun, Tobias Hagen, Damian Läufer
174-183
Facilitating the Adoption of AI Technologies for SMEs Using an Expanded Version of the Periodic Table of AI
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Patrick Rebling, Michael Weber, Tobias Weiß, Franck Gechter, Reiner Kriesten, Philipp Nenninger
184-193
Enhancement of Visual SLAM Precision Using Semantic Image Segmentation for Automotive Systems
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Abdelhafid Abouaissa, Wilfrid Azan, Yannick Boehmann, Michael Böttger, Ugo Devoille, Marc Gilg, Martin Gwerder, Roxana Hess, Bastian Leferink, Pascal Lorenz, David Monschein, Zoltan Nochta, José Antonio Peregrina Pérez, Tim Piotrowski, Ioan Szilagyi, Oliver Waldhorst, Jochen Wendel, Oliver Wolf, Christian Zirpins
194-197
Borderless Authentic – Authentication in the Upper-Rhine Area with AI
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Valentin Göttisheim, Holger Ziekow, Peter Schanbacher, Oliver Taminé, Jochen Baier, Djafar Ould-Abdelsam
198-201
Exploring the Potential of Synthetic Data for Bike Path Surface Classification using Diffusion Models
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UR-AI Student School

Thomas Josso-Laurain, Maxime Devanne, Quentin Boerlen, Jonathan Ledy, Jean-Philippe Lauffenburger, Jonathan Weber
203-215
URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context
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