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2020 – today
- 2024
[c9]Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander Dürr
, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesson, Kalle Åström, Ove Edfors, Steffen Malkowsky, Liang Liu:
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization. ICRA 2024: 11920-11926- 2023
- [c8]Matthias Mayr, Faseeh Ahmad, Alexander Dürr, Volker Krüger:
Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks. CASE 2023: 1-7 - [i3]Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander Dürr, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesson, Kalle Åström, Ove Edfors, Steffen Malkowsky, Liang Liu:
The LuViRA Dataset: Measurement Description. CoRR abs/2302.05309 (2023) - [i2]Matthias Mayr, Faseeh Ahmad, Alexander Dürr, Volker Krüger:
Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks. CoRR abs/2308.14206 (2023) - 2022
- [j1]Quantao Yang, Alexander Dürr, Elin Anna Topp, Johannes A. Stork, Todor Stoyanov:
Variable Impedance Skill Learning for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(3): 8391-8398 (2022) - [c7]Peter Kowalczyk, Marco Röder, Alexander Dürr, Frédéric Thiesse:
Detecting and Understanding Textual Deepfakes in Online Reviews. HICSS 2022: 1-10 - [c6]François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse:
Towards Understanding the Skill Gap in Cybersecurity. ITiCSE (1) 2022: 477-483 - [i1]François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse:
Towards Understanding the Skill Gap in Cybersecurity. CoRR abs/2204.13793 (2022) - 2021
- [c5]Alexander Dürr, Liam Neric, Volker Krüger, Elin Anna Topp:
Realeasy: Real-Time capable Simulation to Reality Domain Adaptation. CASE 2021: 2009-2016 - 2020
- [c4]Alexander Dürr, Matthias Griebel, Giacomo Welsch, Frédéric Thiesse:
Predicting Fraudulent initial Coin Offerings using Information Extracted from Whitepapers. ECIS 2020 - [c3]Giacomo Welsch, Alexander Dürr, Frédéric Thiesse:
A Consolidated Business Model Canvas of Blockchain- Based FinTech Startups: Evidence from Initial Coin Offerings. Wirtschaftsinformatik (Zentrale Tracks) 2020: 189-194
2010 – 2019
- 2019
- [c2]Matthias Griebel, Alexander Dürr, Nikolai Stein:
Applied image recognition: guidelines for using deep learning models in practice. Wirtschaftsinformatik 2019: 393-406 - 2018
- [c1]Jannis Hanke, Matthias Hauser, Alexander Dürr, Frédéric Thiesse:
Redefining the Offline Retail Experience: Designing Product Recommendation Systems for Fashion Stores. ECIS 2018: 1
Coauthor Index
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