| Extraction of rules from discrete-time recurrent neural networks CW Omlin, CL Giles Neural networks 9 (1), 41-52, 1996 | 283 | 1996 |
| Haar features for FACS AU recognition J Whitehill, CW Omlin 7th international conference on automatic face and gesture recognition …, 2006 | 257 | 2006 |
| Constructing deterministic finite-state automata in recurrent neural networks CW Omlin, CL Giles Journal of the ACM (JACM) 43 (6), 937-972, 1996 | 244 | 1996 |
| Pruning recurrent neural networks for improved generalization performance CL Giles, CW Omlin IEEE transactions on neural networks 5 (5), 848-851, 1994 | 150 | 1994 |
| Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks CW Omlin, KK Thornber, CL Giles IEEE Transactions on Fuzzy Systems 6 (1), 76-89, 1998 | 147 | 1998 |
| Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems CL Giles, CW Omlin, KK Thornber Proceedings of the IEEE 87 (9), 1623-1640, 1999 | 119 | 1999 |
| Extraction, insertion and refinement of symbolic rules in dynamically driven recurrent neural networks CL Giles, CW Omlin Connection Science 5 (3-4), 307-337, 1993 | 116 | 1993 |
| Credit card transactions, fraud detection, and machine learning: Modelling time with LSTM recurrent neural networks B Wiese, C Omlin Innovations in neural information paradigms and applications, 231-268, 2009 | 87 | 2009 |
| Training second-order recurrent neural networks using hints CW Omlin, CL Giles Machine Learning Proceedings 1992, 361-366, 1992 | 83 | 1992 |
| Rule revision with recurrent neural networks CW Omlin, CL Giles IEEE Transactions on Knowledge and Data Engineering 8 (1), 183-188, 1996 | 80 | 1996 |
| A hybrid system for signature verification T Wessels, CW Omlin Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 76 | 2000 |
| Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data RC Staudemeyer, CW Omlin Proceedings of the South African institute for computer scientists and …, 2013 | 72 | 2013 |
| Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants CW Omlin, CL Giles Neural Computation 8 (4), 675-696, 1996 | 69 | 1996 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 52 | 2019 |
| Inserting rules into recurrent neural networks CL Giles, CW Omlin Neural Networks for Signal Processing II Proceedings of the 1992 IEEE …, 1992 | 49 | 1992 |
| Rule refinement with recurrent neural networks CL Giles, CW Omlin IEEE International Conference on Neural Networks, 801-806, 1993 | 46 | 1993 |
| Extracting salient features for network intrusion detection using machine learning methods RC Staudemeyer, CW Omlin South African computer journal 52 (1), 82-96, 2014 | 41 | 2014 |
| Heuristics for the extraction of rules from discrete-time recurrent neural networks CW Omlin, CL Giles, CB Miller [Proceedings 1992] IJCNN International Joint Conference on Neural Networks 1 …, 1992 | 40 | 1992 |
| Encoding subcomponents in cooperative co-evolutionary recurrent neural networks R Chandra, M Frean, M Zhang, CW Omlin Neurocomputing 74 (17), 3223-3234, 2011 | 36 | 2011 |
| Symbolic knowledge representation in recurrent neural networks: Insights from theoretical models of computation CW Omlin, CL Giles Knowledge-based neurocomputing, 63-115, 2000 | 36 | 2000 |
