| Convolutional dictionary learning: A comparative review and new algorithms C Garcia-Cardona, B Wohlberg IEEE Transactions on Computational Imaging 4 (3), 366-381, 2018 | 222 | 2018 |
| Fundamental aspects of spark plasma sintering: II. Finite element analysis of scalability EA Olevsky, C Garcia‐Cardona, WL Bradbury, CD Haines, DG Martin, ... Journal of the American Ceramic Society 95 (8), 2414-2422, 2012 | 182 | 2012 |
| Multiclass data segmentation using diffuse interface methods on graphs C Garcia-Cardona, E Merkurjev, AL Bertozzi, A Flenner, AG Percus IEEE transactions on pattern analysis and machine intelligence 36 (8), 1600-1613, 2014 | 162 | 2014 |
| Crossing the mesoscale no-man’s land via parallel kinetic Monte Carlo S Plimpton, C Battaile, M Chandross, L Holm, A Thompson, V Tikare, ... Sandia Report SAND2009-6226 1, 2009 | 148 | 2009 |
| Predicting tumor cell line response to drug pairs with deep learning F Xia, M Shukla, T Brettin, C Garcia-Cardona, J Cohn, JE Allen, S Maslov, ... BMC bioinformatics 19, 71-79, 2018 | 140 | 2018 |
| CANDLE/Supervisor: A workflow framework for machine learning applied to cancer research JM Wozniak, R Jain, P Balaprakash, J Ozik, NT Collier, J Bauer, F Xia, ... BMC bioinformatics 19, 59-69, 2018 | 105 | 2018 |
| Localized overheating phenomena and optimization of spark-plasma sintering tooling design D Giuntini, EA Olevsky, C Garcia-Cardona, AL Maximenko, MS Yurlova, ... Materials 6 (7), 2612-2632, 2013 | 79 | 2013 |
| A cross-study analysis of drug response prediction in cancer cell lines F Xia, J Allen, P Balaprakash, T Brettin, C Garcia-Cardona, A Clyde, ... Briefings in bioinformatics 23 (1), bbab356, 2022 | 73 | 2022 |
| Diffuse interface methods for multiclass segmentation of high-dimensional data E Merkurjev, C Garcia-Cardona, AL Bertozzi, A Flenner, AG Percus Applied Mathematics Letters 33, 29-34, 2014 | 55 | 2014 |
| First-and second-order methods for online convolutional dictionary learning J Liu, C Garcia-Cardona, B Wohlberg, W Yin SIAM Journal on Imaging Sciences 11 (2), 1589-1628, 2018 | 52 | 2018 |
| Kernel based method for segmentation and modeling of magnetic resonance images C García, JA Moreno Ibero-American Conference on Artificial Intelligence, 636-645, 2004 | 45 | 2004 |
| Online convolutional dictionary learning J Liu, C Garcia-Cardona, B Wohlberg, W Yin 2017 IEEE International Conference on Image Processing (ICIP), 1707-1711, 2017 | 43 | 2017 |
| Learning to predict material structure from neutron scattering data C Garcia-Cardona, R Kannan, T Johnston, T Proffen, K Page, SK Seal 2019 IEEE International Conference on Big Data (Big Data), 4490-4497, 2019 | 31 | 2019 |
| Subproblem coupling in convolutional dictionary learning C Garcia-Cardona, B Wohlberg 2017 IEEE International Conference on Image Processing (ICIP), 1697-1701, 2017 | 31 | 2017 |
| Convolutional dictionary learning C Garcia-Cardona, B Wohlberg arXiv preprint arXiv:1709.02893, 2017 | 31 | 2017 |
| On sintering stress in complex powder compacts CG Cardona, V Tikare, BR Patterson, E Olevsky Journal of the American Ceramic Society 95 (8), 2372-2382, 2012 | 31 | 2012 |
| Spectral clustering with epidemic diffusion LM Smith, K Lerman, C Garcia-Cardona, AG Percus, R Ghosh Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (4 …, 2013 | 30 | 2013 |
| Parallel simulation of 3D sintering C Garcia Cardona, V Tikare, SJ Plimpton International Journal of Computational Materials Science and Surface …, 2011 | 27 | 2011 |
| Fundamentals of spark-plasma sintering: applications to net-shaping of high strength temperature resistant components E Olevsky, E Khaleghi, C Garcia, W Bradbury Materials Science Forum 654, 412-415, 2010 | 27 | 2010 |
| The hopfield associative memory network: Improving performance with the kernel “trick” C García, JA Moreno Ibero-American Conference on Artificial Intelligence, 871-880, 2004 | 26 | 2004 |
Allon PercusProfessor of Mathematics, Claremont Graduate UniversityПодтвержден адрес электронной почты в домене cgu.edu
