Uraz Odyurt

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Dive into the research topics where Uraz Odyurt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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11 Preprint
4 Conference contribution
1 Article

Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems
Jutte, A. & Odyurt, U., 22 Jan 2026, ArXiv.org, 13 p.
Research output: Working paper › Preprint › Academic

Open Access
File
CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems
Odyurt, U., Sayilir, Ö. F., Stoelinga, M. I. A. & Zaytsev, V., 21 Oct 2025, ArXiv.org, 9 p.
Research output: Working paper › Preprint › Academic

Open Access
File
Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design
Odyurt, U., Loendersloot, R. & Tinga, T., 21 Oct 2025, ArXiv.org, 10 p.
Research output: Working paper › Preprint › Academic

Open Access
File
1 Downloads (Pure)
Efficient ML-Assisted Particle Track Reconstruction Designs
Caron, S., Dobreva, N., Ferrer Sánchez, A., Martín-Guerrero, J. D., Odyurt, U., Ruiz de Austri Bazan, R., Wollfs, Z. & Zhao, Y., 7 Oct 2025, 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024): Kraków, Poland, October 19-25, 2024. Szumlak, T., Rachwał, B., Dziurda, A., Schulz, M., vom Bruch, D., Ellis, K. & Hageboeck, S. (eds.). Les Ulis: EDP Sciences, 8 p. 01299. (EPJ Web of Conferences; vol. 337).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
2 Downloads (Pure)
Efficient Tracking Algorithm Evaluations through Multi-Level Reduced Simulations
Odyurt, U., Varbanescu, A.-L. & Caron, S., 7 Oct 2025, 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024): Kraków, Poland, October 19-25, 2024. Szumlak, T., Rachwał, B., Dziurda, A., Schulz, M., vom Bruch, D., Ellis, K. & Hageboeck, S. (eds.). Les Ulis: EDP Sciences, 8 p. 01289. (EPJ Web of Conferences; vol. 337).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
2 Downloads (Pure)

REDVID Collision Event Data – Linear Tracks and Hits
Odyurt, U. (Creator) & Swatman, S. N. (Creator), Zenodo, 6 Sept 2023
DOI: 10.5281/zenodo.8183750
Dataset
InfoPos - Model Training Data
Odyurt, U. (Creator), Zenodo, 14 Feb 2025
DOI: 10.5281/zenodo.14755170, https://zenodo.org/records/14755170 and 2 more links, https://doi.org/10.5281/zenodo.14755171, https://zenodo.org/records/14755171 (show fewer)
Dataset
TrackFormers - Machine Learning Pipelines
Dobreva, N. (Creator), Ferrer Sánchez, A. (Creator), Wolffs, Z. (Creator), Zhao, Y. (Creator), Caron, S. (Contributor), Martín-Guerrero, J. D. (Contributor), Odyurt, U. (Contributor) & Ruiz de Austri Bazan, R. (Contributor), Zenodo, 12 Dec 2024
DOI: 10.5281/zenodo.14388534, https://zenodo.org/records/14388534 and 2 more links, https://doi.org/10.5281/zenodo.14388535, https://zenodo.org/records/14388535 (show fewer)
Dataset
InfoPos - Dataset Formation and Model Training Pipelines
Odyurt, U. (Creator), Zenodo, 14 Feb 2025
DOI: 10.5281/zenodo.14755194, https://zenodo.org/records/14755194 and 2 more links, https://doi.org/10.5281/zenodo.14755195, https://zenodo.org/records/14755195 (show fewer)
Dataset
REDuced VIrtual Detector (REDVID)
Odyurt, U. (Creator), Zenodo, 28 Feb 2025
DOI: 10.5281/zenodo.14947466, https://zenodo.org/records/14947466 and 2 more links, https://doi.org/10.5281/zenodo.14947467, https://zenodo.org/records/14947467 (show fewer)
Dataset

Uraz Odyurt

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems

CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems

Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design

Efficient ML-Assisted Particle Track Reconstruction Designs

Efficient Tracking Algorithm Evaluations through Multi-Level Reduced Simulations

REDVID Collision Event Data – Linear Tracks and Hits

InfoPos - Model Training Data

TrackFormers - Machine Learning Pipelines

InfoPos - Dataset Formation and Model Training Pipelines

REDuced VIrtual Detector (REDVID)

Uraz Odyurt

Fingerprint

Collaborations and top research areas from the last five years

Research output

Datasets