Nicolas Jourdan

Orcid: 0000-0003-0159-2442

Affiliations:
  • TU Darmstadt, Insitute for Production Management, Technology and Machine Tools, Germany


According to our database1, Nicolas Jourdan authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
SEA4DQ 2024 Workshop Summary.
ACM SIGSOFT Softw. Eng. Notes, October, 2024

SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes.
J. Intell. Manuf., August, 2024

2023
Virtual sensors for erroneous data repair in manufacturing <i>a machine learning pipeline</i>.
Comput. Ind., August, 2023

Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report.
ACM SIGSOFT Softw. Eng. Notes, January, 2023

Conformal Prediction in Multi-User Settings: An Evaluation.
CoRR, 2023

An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams.
CoRR, 2023

A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring.
Proceedings of the 3rd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2023

Long Range Object-Level Monocular Depth Estimation for UAVs.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Delivery Drones - Just a Hype? Towards Autonomous Air Mobility Services at Scale.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Toward the Sustainable Development of Machine Learning Applications in Industry 4.0.
Proceedings of the 31st European Conference on Information Systems, 2023

2022
Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report.
ACM SIGSOFT Softw. Eng. Notes, 2022

Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss.
CoRR, 2022

2021
On The Reliability Of Machine Learning Applications In Manufacturing Environments.
CoRR, 2021

2020
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time.
CoRR, 2020

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection.
CoRR, 2020

Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020


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