Peter Kenesei

According to our database, Peter Kenesei authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels.

Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu

CoRR, March, 2026

2025

Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels.

Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu

Proceedings of the International Conference on Machine Learning and Applications, 2025

FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations.

Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning.

Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Rapid detection of rare events from in situ X-ray diffraction data using machine learning.

Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma

CoRR, 2023

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.

Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

fairDMS: Rapid Model Training by Data and Model Reuse.

Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster

CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster

Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021

3d Autoencoders For Feature Extraction In X-Ray Tomography.

Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning.

Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster

CoRR, 2020