- Y. Shi, D.J. Berry, J. Kath, S. Lodhy, A. Ly, A.G. Percus, J.D. Hyman, K. Moran, J. Strait, M.R. Sweeney, H.S. Viswanathan and P.H. Stauffer, “Bayesian learning of gas transport in three-dimensional fracture networks,” Computers and Geosciences 192, 105700 (2024).
- V. Lloyd, J. Pena, A. Percus, C. Wang, R. Zhao, T. Hardin and M. Wilson, “Using Machine Learning Approaches to Predict Atomic-Scale Glass Failure in Environmental Conditions,” Sandia National Laboratories publication SAND2021-3233C (2021).
- M. Schwarzer, B. Rogan, Y. Ruan, Z. Song, D.Y. Lee, A.G. Percus, V.T. Chau, B.A. Moore, E. Rougier, H.S. Viswanathan and G. Srinivasan, “Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks,” Computational Materials Science 162, 322-332 (2019).
- J. Sunu, A.G. Percus and B. Hunter, “Unsupervised vehicle recognition using incremental reseeding of acoustic signatures,” Proceedings of the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018). Lecture Notes in Artificial Intelligence (Springer International, Cham, Switzerland, 2018), Vol. 11177, pp. 151-160.
- J. Sunu and A.G. Percus, “Dimensionality reduction for acoustic vehicle classification with spectral embedding,” Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control (ICNSC 2018), 129-133 (2018).
- M. Valera, Z. Guo, P. Kelly, S. Matz, A. Cantu, A.G. Percus, J.D. Hyman, G. Srinivasan and H.S. Viswanathan, “Machine learning for graph-based representations of three-dimensional discrete fracture networks,” Computational Geosciences 22, 695-710 (2018).
- L.M. Smith, L. Zhu, K. Lerman and A.G. Percus, “Partitioning networks with node attributes by compressing information flow,” ACM Transactions on Knowledge Discovery from Data 11, 15 (2016).
- C. Garcia-Cardona, A. Flenner and A.G. Percus, “Multiclass semi-supervised learning on graphs using Ginzburg-Landau functional minimization,” Advances in Intelligent Systems and Computing 318, 119-135 (2015).
- A. Ma, A. Flenner, D. Needell and A.G. Percus, “Improving image clustering using sparse text and the wisdom of the crowds,” Proceedings of the 48th Annual Asilomar Conference on Signals, Systems, and Computers, 1555-1557 (2014).
- C. Garcia-Cardona, E. Merkurjev, A.L. Bertozzi, A. Flenner and A.G. Percus, “Multiclass data segmentation using diffuse interface methods on graphs,” IEEE Transactions on Pattern Analysis and Machine Intelligence 36, 1600-1613 (2014).
- E. Merkurjev, C. Garcia-Cardona, A.L. Bertozzi, A. Flenner and A.G. Percus, “Diffuse interface methods for multiclass segmentation of high-dimensional data,” Applied Mathematics Letters 33, 29-34 (2014).
- L.M. Smith, K. Lerman, C. Garcia-Cardona, A.G. Percus and R. Ghosh, “Spectral clustering with epidemic diffusion,” Physical Review E 88, 042813 (2013).
- C. Garcia-Cardona, A. Flenner and A.G. Percus, “Multiclass diffuse interface models for semi-supervised learning on graphs,” Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013), 78-86 (2013).