Alexander Hexemer

According to our database, Alexander Hexemer authored at least 15 papers between 2012 and 2023.

Collaborative distances:

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

2023

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images.

Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz

CoRR, 2023

DLSIA: Deep Learning for Scientific Image Analysis.

Eric J. Roberts, Tanny Chavez, Alexander Hexemer, Petrus H. Zwart

CoRR, 2023

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities.

Guanhua Hao, Eric J. Roberts, Tanny Chavez, Zhuowen Zhao, Elizabeth Holman, Howard Yanxon, Adam Green, Harinarayan Krishnan, Daniela Ushizima, Dylan McReynolds, Nicholas Schwarz, Petrus H. Zwart, Alexander Hexemer, Dilworth Parkinson

Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

CoRR, 2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

2020

K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy.

Charles N. Melton, Marcus Michael Noack, Taisuke Ohta, Thomas E. Beechem, Jeremy Robinson, Xiaotian Zhang, Aaron Bostwick, Chris Jozwiak, Roland J. Koch, Petrus H. Zwart, Alexander Hexemer, Eli Rotenberg

Mach. Learn. Sci. Technol., 2020

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC.

Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2018

Reverse image search for scientific data within and beyond the visible spectrum.

Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Fátima N. S. de Medeiros, Dilworth Parkinson, Alexander Hexemer, Cláudia M. Carneiro, Daniela Mayumi Ushizima Sabino

Expert Syst. Appl., 2018

2016

Robust X-Ray Phase Ptycho-Tomography.

Singanallur V. Venkatakrishnan, Maryam Farmand, Young-Sang Yu, Hasti Majidi, Klaus van Benthem, Stefano Marchesini, David A. Shapiro, Alexander Hexemer

IEEE Signal Process. Lett., 2016

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible.

S. V. Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A. MacDowell, Stefano Marchesini, Simon J. Patton, Talita Perciano, James A. Sethian, Rune Stromsness, Brian L. Tierney, Craig E. Tull, Daniela Ushizima, Dilworth Y. Parkinson

Proceedings of the Computational Imaging XIV, San Francisco, 2016

Convolutional neural networks at the interface of physical and digital data.

Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian

Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2014

Workflow management for real-time analysis of lightsource experiments.

Jack Deslippe, Abdelilah Essiari, Simon J. Patton, Taghrid Samak, Craig E. Tull, Alexander Hexemer, Dinesh Kumar, Dilworth Parkinson, Polite Stewart

Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, 2014

High-Performance Inverse Modeling with Reverse Monte Carlo Simulations.

Abhinav Sarje, Xiaoye S. Li, Alexander Hexemer

Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013

Tuning HipGISAXS on Multi and Many Core Supercomputers.

Abhinav Sarje, Xiaoye S. Li, Alexander Hexemer

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation, 2013

2012

Massively parallel X-ray scattering simulations.

Abhinav Sarje, Xiaoye S. Li, Slim Chourou, Elaine R. Chan, Alexander Hexemer

Proceedings of the SC Conference on High Performance Computing Networking, 2012