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ORCIDCristina Garcia-Cardona
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2020 – today
- 2024
[j10]Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray:
Reinforcement learning for block decomposition of planar CAD models. Eng. Comput. 40(5): 2807-2817 (2024)- 2023
- [c10]Ramakrishnan Kannan, Cristina Garcia-Cardona
, Balasubramaniam Radhakrishnan, Sudip K. Seal:
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. IEEE Big Data 2023: 1744-1753 - [c9]Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha:
A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. IPDPS Workshops 2023: 795-798 - [i9]Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray:
Reinforcement Learning for Block Decomposition of CAD Models. CoRR abs/2302.11066 (2023) - [i8]Weijie Gan, Qiuchen Zhai, Michael Thompson McCann, Cristina Garcia-Cardona, Ulugbek S. Kamilov, Brendt Wohlberg:
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. CoRR abs/2310.07504 (2023) - 2022
- [j9]Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens:
A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. 23(1) (2022) - [j8]Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg:
Scientific Computational Imaging Code (SCICO). J. Open Source Softw. 7(78): 4722 (2022) - 2021
- [j7]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - 2020
- [c8]Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal:
Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. IEEE BigData 2020: 1147-1155 - [i7]Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya:
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR abs/2012.15739 (2020)
2010 – 2019
- 2019
- [c7]Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal:
Learning to Predict Material Structure from Neutron Scattering Data. IEEE BigData 2019: 4490-4497 - 2018
- [j6]Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson T. Collier, John Bauer, Fangfang Xia, Thomas S. Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia-Cardona, Brian Van Essen, Matthew Baughman:
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research. BMC Bioinform. 19-S(18): 59-69 (2018) - [j5]Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens:
Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinform. 19-S(18): 71-79 (2018) - [j4]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
First- and Second-Order Methods for Online Convolutional Dictionary Learning. SIAM J. Imaging Sci. 11(2): 1589-1628 (2018) - [j3]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning: A Comparative Review and New Algorithms. IEEE Trans. Computational Imaging 4(3): 366-381 (2018) - [c6]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning for Multi-Channel Signals. ACSSC 2018: 335-342 - [c5]Erik Skau, Cristina Garcia-Cardona:
Tomographic Reconstruction Via 3D Convolutional Dictionary Learning. IVMSP 2018: 1-5 - 2017
- [c4]Cristina Garcia-Cardona, Brendt Wohlberg:
Subproblem coupling in convolutional dictionary learning. ICIP 2017: 1697-1701 - [c3]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online convolutional dictionary learning. ICIP 2017: 1707-1711 - [i6]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1706.09563 (2017) - [i5]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1709.00106 (2017) - [i4]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning. CoRR abs/1709.02893 (2017) - 2014
- [j2]Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Diffuse interface methods for multiclass segmentation of high-dimensional data. Appl. Math. Lett. 33: 29-34 (2014) - [j1]Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus:
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1600-1613 (2014) - 2013
- [c2]Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus:
Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs. ICPRAM 2013: 78-86 - [c1]Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus:
Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization. ICPRAM (Selected Papers) 2013: 119-135 - [i3]Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh:
Spectral Clustering with Epidemic Diffusion. CoRR abs/1303.2663 (2013) - [i2]Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus:
Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau Functional Minimization. CoRR abs/1306.1298 (2013) - 2012
- [i1]Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus:
Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs. CoRR abs/1212.0945 (2012)
Coauthor Index
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