Jérôme Rutinowski

Orcid: 0000-0001-6907-9296

According to our database1, Jérôme Rutinowski authored at least 17 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach.
EURASIP J. Image Video Process., December, 2024

Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases.
CoRR, 2024

On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification.
CoRR, 2024

Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs.
CoRR, 2024

Benchmarking Trust: A Metric for Trustworthy Machine Learning.
Proceedings of the Explainable Artificial Intelligence, 2024

The Phenomenon of Correlated Representations in Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Synth- Yard-MCMOT - Synthetically Generated Multi-Camera Multi-Object Tracking Dataset In Yard Logistics.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

A Laser-based Volumetric Measurement Approach for Industrial Settings.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Generating embedding spaces for re-identifying pallets from their chipwood patterns.
Eng. Appl. Artif. Intell., November, 2023

Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings.
CoRR, 2023

The Self-Perception and Political Biases of ChatGPT.
CoRR, 2023

Re-identification Robustness Over Time - The Case for Synthetic Training Data.
Proceedings of the International Conference on Machine Learning and Applications, 2023

On Graph Representation based Re-Identification - A Proof of Concept.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
On the Applicability of Synthetic Data for Re-Identification.
CoRR, 2022

Deep Learning Based Re-Identification of Wooden Euro-pallets.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Towards Re-Identification for Warehousing Entities - A Work-in-Progress Study.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021


  Loading...