| Detecting adversarial samples from artifacts R Feinman, RR Curtin, S Shintre, AB Gardner arXiv preprint arXiv:1703.00410, 2017 | 1085 | 2017 |
| Armadillo: a template-based C++ library for linear algebra C Sanderson, R Curtin Journal of Open Source Software 1 (2), 26, 2016 | 855 | 2016 |
| MLPACK: A scalable C++ machine learning library RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray The Journal of Machine Learning Research 14 (1), 801-805, 2013 | 222 | 2013 |
| A user-friendly hybrid sparse matrix class in C++ C Sanderson, R Curtin Mathematical Software–ICMS 2018: 6th International Conference, South Bend …, 2018 | 169 | 2018 |
| mlpack 3: a fast, flexible machine learning library RR Curtin, M Edel, M Lozhnikov, Y Mentekidis, S Ghaisas, S Zhang Journal of Open Source Software 3 (26), 726, 2018 | 90 | 2018 |
| Detecting DGA domains with recurrent neural networks and side information RR Curtin, AB Gardner, S Grzonkowski, A Kleymenov, A Mosquera Proceedings of the 14th International Conference on Availability …, 2019 | 84 | 2019 |
| Fast exact max-kernel search RR Curtin, P Ram, AG Gray Proceedings of the 2013 SIAM International Conference on Data Mining, 1-9, 2013 | 59 | 2013 |
| Functional aggregate queries with additive inequalities MA Khamis, RR Curtin, B Moseley, HQ Ngo, XL Nguyen, D Olteanu, ... ACM Transactions on Database Systems (TODS) 45 (4), 1-41, 2020 | 55 | 2020 |
| ClusterR: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering L Mouselimis, C Sanderson, R Curtin, S Agrawal, B Frey, D Dueck R package version 1 (0), 2019 | 55 | 2019 |
| Tree-independent dual-tree algorithms R Curtin, W March, P Ram, D Anderson, A Gray, C Isbell International Conference on Machine Learning, 1435-1443, 2013 | 46 | 2013 |
| Dual‐tree fast exact max‐kernel search RR Curtin, P Ram Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (4 …, 2014 | 33 | 2014 |
| A Dual-Tree Algorithm for Fast k-means Clustering With Large k RR Curtin Proceedings of the 2017 SIAM International Conference on Data Mining, 300-308, 2017 | 30 | 2017 |
| Practical sparse matrices in C++ with hybrid storage and template-based expression optimisation C Sanderson, R Curtin Mathematical and Computational Applications 24 (3), 70, 2019 | 29 | 2019 |
| Armadillo: C++ linear algebra library C Sanderson, R Curtin, I Cullinan, D Bouzas, S Funiak URL http://arma. sourceforge. net, 2014 | 26 | 2014 |
| Rk-means: Fast clustering for relational data R Curtin, B Moseley, H Ngo, XL Nguyen, D Olteanu, M Schleich International Conference on Artificial Intelligence and Statistics, 2742-2752, 2020 | 21 | 2020 |
| Unconditional coresets for regularized loss minimization A Samadian, K Pruhs, B Moseley, S Im, R Curtin International Conference on Artificial Intelligence and Statistics, 482-492, 2020 | 21* | 2020 |
| Plug-and-play dual-tree algorithm runtime analysis. RR Curtin, D Lee, WB March, P Ram J. Mach. Learn. Res. 16, 3269-3297, 2015 | 19 | 2015 |
| Faster dual-tree traversal for nearest neighbor search RR Curtin Similarity Search and Applications: 8th International Conference, SISAP 2015 …, 2015 | 19 | 2015 |
| mlpack 4: a fast, header-only C++ machine learning library RR Curtin, M Edel, O Shrit, S Agrawal, S Basak, JJ Balamuta, ... Journal of Open Source Software 8 (82), 5026, 2023 | 18 | 2023 |
| Classifying broiler chicken condition using audio data RR Curtin, W Daley, DV Anderson 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 18 | 2014 |
Conrad SandersonData61 / CSIROVerified email at uq.edu.au
