Peter Kenesei

12 papers B 4C 2Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels.
CoRR
Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu
2025 B conf
FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations.
IEEE Big Data
Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu
2025 C conf
Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels.
ICMLA
Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu
2024 B conf
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning.
IEEE Big Data
Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu
2023 J jnl
Rapid detection of rare events from in situ X-ray diffraction data using machine learning.
CoRR
Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
2023 B conf
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.
e-Science
Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu
2022 C conf
fairDMS: Rapid Model Training by Data and Model Reuse.
CLUSTER
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu
2022 J jnl
fairDMS: Rapid Model Training by Data and Model Reuse.
CoRR
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu
2021 B conf
3d Autoencoders For Feature Extraction In X-Ray Tomography.
ICIP
Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.
CoRR
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
2021 — conf
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.
XLOOP@SC
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
2020 J jnl
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning.
CoRR
Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster