Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time. - Nils Gählert; Jun-Jun Wan; Nicolas Jourdan 001; Jan Finkbeiner; Uwe Franke; Joachim Denzler (IV, 2020)

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. - Nils Gählert; Nicolas Jourdan 001; Marius Cordts; Uwe Franke; Joachim Denzler (CoRR, 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 001; Jan Finkbeiner; Uwe Franke; Joachim Denzler (CoRR, 2020)

On The Reliability Of Machine Learning Applications In Manufacturing Environments. - Nicolas Jourdan 001; Sagar Sen; Erik Johannes Husom; Enrique Garcia-Ceja; Tobias Biegel; Joachim Metternich (CoRR, 2021)

Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss. - Yannik Blei; Nicolas Jourdan 001; Nils Gählert (CoRR, 2022)

Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report. - Phu Hong Nguyen; Sagar Sen; Nicolas Jourdan 001; Beatriz Cassoli; Per Myrseth; Mikel Armendia; Odd Myklebust (ACM SIGSOFT Softw. Eng. Notes, 2022)

Toward the Sustainable Development of Machine Learning Applications in Industry 4.0. - Sara Ellenrieder; Nicolas Jourdan 001; Tobias Biegel; Beatriz Bretones-Cassoli; Joachim Metternich; Peter Buxmann (ECIS, 2023)

Delivery Drones - Just a Hype? Towards Autonomous Air Mobility Services at Scale. - Sara Ellenrieder; Nicolas Jourdan 001; Melanie Reuter-Oppermann (HICSS, 2023)

Long Range Object-Level Monocular Depth Estimation for UAVs. - David Silva; Nicolas Jourdan 001; Nils Gählert (SCIA (1), 2023)

A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring. - Nicolas Jourdan 001; Joachim Metternich (SEA4DQ@SIGSOFT FSE, 2023)

An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams. - Anton Winter; Nicolas Jourdan 001; Tristan Wirth; Volker Knauthe; Arjan Kuijper (CoRR, 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 001; Maria Chiara Magnanini (ACM SIGSOFT Softw. Eng. Notes, 2023)

Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline. - Sagar Sen; Erik Johannes Husom; Arda Goknil; Dimitra Politaki; Simeon Tverdal; Phu Hong Nguyen; Nicolas Jourdan 001 (Comput. Ind., 2023)

SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes. - Tobias Biegel; Patrick Helm; Nicolas Jourdan 001; Joachim Metternich (J. Intell. Manuf., 2024)

SEA4DQ 2024 Workshop Summary. - Tim Menzies; Bowen Xu; Hong Jin Kang; Jie M. Zhang; Jiri Gesi; Sagar Sen; Beatriz Cassoli; Nicolas Jourdan 001; Jieke Shi; Phu Hong Nguyen; Valentina Golendukhina (ACM SIGSOFT Softw. Eng. Notes, 2024)

Conformal prediction in multi-user settings: an evaluation. - Enrique Garcia-Ceja; Luciano García-Bañuelos; Nicolas Jourdan 001 (User Model. User Adapt. Interact., 2025)