| A field guide to dynamical recurrent networks JF Kolen, SC Kremer John Wiley & Sons, 2001 | 3104* | 2001 |
| Deep learning object detection methods for ecological camera trap data S Schneider, GW Taylor, S Kremer 2018 15th Conference on computer and robot vision (CRV), 321-328, 2018 | 200 | 2018 |
| New directions in fuzzy automata M Doostfatemeh, SC Kremer International Journal of Approximate Reasoning 38 (2), 175-214, 2005 | 197 | 2005 |
| Past, present and future approaches using computer vision for animal re‐identification from camera trap data S Schneider, GW Taylor, S Linquist, SC Kremer Methods in Ecology and Evolution 10 (4), 461-470, 2019 | 177 | 2019 |
| On the computational power of Elman-style recurrent networks SC Kremer IEEE Transactions on neural networks 6 (4), 1000-1004, 1995 | 159 | 1995 |
| Three critical factors affecting automated image species recognition performance for camera traps S Schneider, S Greenberg, GW Taylor, SC Kremer Ecology and evolution 10 (7), 3503-3517, 2020 | 119 | 2020 |
| A field guide to dynamical recurrent neural networks S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber, J Kolen, SC Kremer chapter Gradient Flow in Recurrent Nets: The Difficulty of Learning Long …, 2001 | 119 | 2001 |
| Network intrusion detection system based on recursive feature addition and bigram technique T Hamed, R Dara, SC Kremer computers & security 73, 137-155, 2018 | 118 | 2018 |
| Clustering unlabeled data with SOMs improves classification of labeled real-world data R Dara, SC Kremer, DA Stacey Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 118 | 2002 |
| Spatiotemporal connectionist networks: A taxonomy and review SC Kremer Neural Computation 13 (2), 249-306, 2001 | 102 | 2001 |
| Inducing grammars from sparse data sets: a survey of algorithms and results O Cicchello, SC Kremer The Journal of Machine Learning Research 4, 603-632, 2003 | 100 | 2003 |
| Gene prediction based on DNA spectral analysis: a literature review SA Marhon, SC Kremer Journal of computational biology 18 (4), 639-676, 2011 | 90 | 2011 |
| A taxonomy for spatiotemporal connectionist networks revisited: The unsupervised case GA Barreto, AFR Araújo, SC Kremer Neural Computation 15 (6), 1255-1320, 2003 | 81 | 2003 |
| Recurrent neural networks SA Marhon, CJF Cameron, SC Kremer Handbook on neural information processing, 29-65, 2013 | 70 | 2013 |
| Similarity learning networks for animal individual re-identification-beyond the capabilities of a human observer S Schneider, GW Taylor, SC Kremer Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 63 | 2020 |
| A survey and taxonomy of classifiers of intrusion detection systems T Hamed, JB Ernst, SC Kremer Computer and network security essentials, 21-39, 2018 | 61 | 2018 |
| A survey of QoS/QoE mechanisms in heterogeneous wireless networks JB Ernst, SC Kremer, JJPC Rodrigues Physical Communication 13, 61-72, 2014 | 49 | 2014 |
| Applying ecological models to communities of genetic elements: the case of neutral theory S Linquist, K Cottenie, TA Elliott, B Saylor, SC Kremer, TR Gregory Molecular ecology 24 (13), 3232-3242, 2015 | 45 | 2015 |
| Prediction of protein coding regions using a wide-range wavelet window method SA Marhon, SC Kremer IEEE/ACM transactions on computational biology and bioinformatics 13 (4 …, 2015 | 41 | 2015 |
| A testbed for automatic modulation recognition using artificial neural networks SC Kremer, J Shiels CCECE'97. Canadian Conference on Electrical and Computer Engineering …, 1997 | 39 | 1997 |
Karl CottenieAssociate professor, Department of Integrative Biology, University of Guelph在 uoguelph.ca 的电子邮件经过验证
