Nicolas Jourdan

According to our database, Nicolas Jourdan authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Virtual sensors for erroneous data repair in manufacturing <i>a machine learning pipeline</i>.

Sagar Sen, Erik Johannes Husom, Arda Goknil, Dimitra Politaki, Simeon Tverdal, Phu Hong Nguyen, Nicolas Jourdan

Comput. Ind., August, 2023

Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report.

Phu Hong Nguyen, Sagar Sen, Beatriz Bretones-Cassoli, Nicolas Jourdan, Maria Chiara Magnanini

ACM SIGSOFT Softw. Eng. Notes, January, 2023

Conformal Prediction in Multi-User Settings: An Evaluation.

Enrique Garcia-Ceja, Luciano García-Bañuelos, Nicolas Jourdan

CoRR, 2023

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

Anton Winter, Nicolas Jourdan, Tristan Wirth, Volker Knauthe, Arjan Kuijper

CoRR, 2023

A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring.

Nicolas Jourdan, Joachim Metternich

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.

David Silva, Nicolas Jourdan, Nils Gählert

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Delivery Drones - Just a Hype? Towards Autonomous Air Mobility Services at Scale.

Sara Ellenrieder, Nicolas Jourdan, Melanie Reuter-Oppermann

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Toward the Sustainable Development of Machine Learning Applications in Industry 4.0.

Sara Ellenrieder, Nicolas Jourdan, Tobias Biegel, Beatriz Bretones-Cassoli, Joachim Metternich, Peter Buxmann

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.

Phu Hong Nguyen, Sagar Sen, Nicolas Jourdan, Beatriz Cassoli, Per Myrseth, Mikel Armendia, Odd Myklebust

ACM SIGSOFT Softw. Eng. Notes, 2022

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

Yannik Blei, Nicolas Jourdan, Nils Gählert

CoRR, 2022

2021

On The Reliability Of Machine Learning Applications In Manufacturing Environments.

Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich

CoRR, 2021

2020

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

Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler

CoRR, 2020

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

Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler

CoRR, 2020

Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time.

Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Dielectric Reliability Study of 21 nm Pitch Interconnects with Barrierless Ru Fill.

Alicja Lesniewska, Philippe J. Roussel, Davide Tierno, Victor Vega-Gonzalez, Marleen H. van der Veen, Patrick Verdonck, Nicolas Jourdan, Christopher J. Wilson, Zsolt Tökei, Kris Croes

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

2015

Constant voltage electromigration for advanced BEOL copper interconnects.

Baojun Tang, Kris Croes, Nicolas Jourdan, Jürgen Bömmels, Zsolt Tökei, Ingrid De Wolf, Eric Wilcox, Timothy McMullen

Proceedings of the IEEE International Reliability Physics Symposium, 2015