URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context

URAI Symposium is a trinational research symposium organized by university partners inside the Upper Rhine region. This symposium aims to bring together researchers that are working on and/or with artificial intelligence. For the 5th edition in 2023, this symposium is taking place in Mulhouse, France. It is preceded by a one-day Autumn School. The participants are following a tutorial about how artificial intelligence can be used for time series from a robotic platform. The design of the tutorial is presented as well as the collected feedback. The results show that the tutorial is well tuned for AI beginners with an increase on the technical skills. All the participants were globally happy with the organization of the day.

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Publication Details

Journal
OJS
Published
2025-03-25
DOI
https://doi.org/10.60643/urai.v2023p203
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context

OJS
Time Series Analysis and Forecasting
article

URAI Autumn School dedicated to time series classification from robotics applications: a tutorial in a trinational context

article en

Abstract

URAI Symposium is a trinational research symposium organized by university partners inside the Upper Rhine region. This symposium aims to bring together researchers that are working on and/or with artificial intelligence. For the 5th edition in 2023, this symposium is taking place in Mulhouse, France. It is preceded by a one-day Autumn School. The participants are following a tutorial about how artificial intelligence can be used for time series from a robotic platform. The design of the tutorial is presented as well as the collected feedback. The results show that the tutorial is well tuned for AI beginners with an increase on the technical skills. All the participants were globally happy with the organization of the day.

OJS
Université de Haute-Alsace (FR)
Quality Education
Openalex Percentile: Top 48%
Time Series Analysis and Forecasting
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