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Nicolas Jourdan 0001
Person information
- affiliation: TU Darmstadt, Insitute for Production Management, Technology and Machine Tools, Germany
Other persons with the same name
- Nicolas Jourdan 0002 — Imec, Leuven, Belgium
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2020 – today
- 2024
- [j5]Tobias Biegel, Patrick Helm, Nicolas Jourdan, Joachim Metternich:
SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes. J. Intell. Manuf. 35(6): 2671-2698 (2024) - [j4]Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina:
SEA4DQ 2024 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 49(4): 29-30 (2024) - 2023
- [j3]Sagar Sen, Erik Johannes Husom, Arda Goknil, Dimitra Politaki, Simeon Tverdal, Phu Hong Nguyen, Nicolas Jourdan:
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline. Comput. Ind. 149: 103917 (2023) - [j2]Phu Hong Nguyen, Sagar Sen, Beatriz Bretones-Cassoli, Nicolas Jourdan, Maria Chiara Magnanini:
Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report. ACM SIGSOFT Softw. Eng. Notes 48(1): 108-111 (2023) - [c5]Sara Ellenrieder, Nicolas Jourdan, Tobias Biegel, Beatriz Bretones-Cassoli, Joachim Metternich, Peter Buxmann:
Toward the Sustainable Development of Machine Learning Applications in Industry 4.0. ECIS 2023 - [c4]Sara Ellenrieder, Nicolas Jourdan, Melanie Reuter-Oppermann:
Delivery Drones - Just a Hype? Towards Autonomous Air Mobility Services at Scale. HICSS 2023: 1469-1478 - [c3]David Silva, Nicolas Jourdan, Nils Gählert:
Long Range Object-Level Monocular Depth Estimation for UAVs. SCIA (1) 2023: 325-340 - [c2]Nicolas Jourdan, Joachim Metternich:
A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring. SEA4DQ@SIGSOFT FSE 2023: 1-4 - [i7]David Silva, Nicolas Jourdan, Nils Gählert:
Long Range Object-Level Monocular Depth Estimation for UAVs. CoRR abs/2302.08943 (2023) - [i6]Anton Winter, Nicolas Jourdan, Tristan Wirth, Volker Knauthe, Arjan Kuijper:
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams. CoRR abs/2311.13374 (2023) - [i5]Enrique Garcia-Ceja, Luciano García-Bañuelos, Nicolas Jourdan:
Conformal Prediction in Multi-User Settings: An Evaluation. CoRR abs/2312.05195 (2023) - 2022
- [j1]Phu Hong Nguyen, Sagar Sen, Nicolas Jourdan, Beatriz Cassoli, Per Myrseth, Mikel Armendia, Odd Myklebust:
Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report. ACM SIGSOFT Softw. Eng. Notes 47(1): 26-29 (2022) - [i4]Yannik Blei, Nicolas Jourdan, Nils Gählert:
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss. CoRR abs/2209.00364 (2022) - 2021
- [i3]Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich:
On The Reliability Of Machine Learning Applications In Manufacturing Environments. CoRR abs/2112.06986 (2021) - 2020
- [c1]Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler:
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time. IV 2020: 437-444 - [i2]Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler:
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. CoRR abs/2006.07864 (2020) - [i1]Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler:
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time. CoRR abs/2006.13084 (2020)
Coauthor Index
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