| Learning long-term dependencies with gradient descent is difficult Y Bengio, P Simard, P Frasconi IEEE transactions on neural networks 5 (2), 157-166, 1994 | 12396 | 1994 |
| Best practices for convolutional neural networks applied to visual document analysis PY Simard, D Steinkraus, JC Platt Document Analysis and Recognition, 2003. Seventh International Conference on …, 2003 | 3967 | 2003 |
| Comparison of classifier methods: a case study in handwritten digit recognition L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, LD Jackel, Y LeCun, ... Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994 | 1067 | 1994 |
| Comparison of learning algorithms for handwritten digit recognition Y LeCun, L Jackel, L Bottou, A Brunot, C Cortes, J Denker, H Drucker, ... International conference on artificial neural networks 60 (1), 53-60, 1995 | 936 | 1995 |
| High performance convolutional neural networks for document processing K Chellapilla, S Puri, P Simard Tenth international workshop on frontiers in handwriting recognition, 2006 | 884 | 2006 |
| Learning algorithms for classification: A comparison on handwritten digit recognition Y LeCun, LD Jackel, L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, ... Neural networks: the statistical mechanics perspective 261 (276), 2, 1995 | 831 | 1995 |
| Counterfactual reasoning and learning systems: The example of computational advertising. L Bottou, J Peters, J Quiñonero-Candela, DX Charles, DM Chickering, ... Journal of Machine Learning Research 14 (11), 2013 | 794 | 2013 |
| Efficient pattern recognition using a new transformation distance P Simard, Y LeCun, J Denker Advances in neural information processing systems 5, 1992 | 744 | 1992 |
| Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay JL Ringo, RW Doty, S Demeter, PY Simard Cerebral Cortex 4 (4), 331-343, 1994 | 736 | 1994 |
| Transformation invariance in pattern recognition—tangent distance and tangent propagation PY Simard, YA LeCun, JS Denker, B Victorri Neural networks: tricks of the trade, 239-274, 2002 | 586 | 2002 |
| Prior knowledge in support vector kernels B Schölkopf, P Simard, A Smola, V Vapnik Advances in neural information processing systems 10, 1997 | 463 | 1997 |
| Using GPUs for machine learning algorithms D Steinkraus, I Buck, PY Simard Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005 | 429 | 2005 |
| Content-based image retrieval in medical applications TM Lehmann, MO Güld, C Thies, B Fischer, K Spitzer, D Keysers, H Ney, ... Methods of information in medicine 43 (04), 354-361, 2004 | 406 | 2004 |
| Using machine learning to break visual human interaction proofs (HIPs) K Chellapilla, P Simard Advances in neural information processing systems 17, 2004 | 396 | 2004 |
| The problem of learning long-term dependencies in recurrent networks Y Bengio, P Frasconi, P Simard IEEE international conference on neural networks, 1183-1188, 1993 | 387 | 1993 |
| High quality document image compression with" DjVu" L Bottou, P Haffner, PG Howard, P Simard, Y Bengio, Y Le Cun Journal of Electronic Imaging 7 (3), 410-425, 1998 | 383 | 1998 |
| Tangent prop-a formalism for specifying selected invariances in an adaptive network P Simard, B Victorri, Y LeCun, J Denker Advances in neural information processing systems 4, 1991 | 373 | 1991 |
| Modeltracker: Redesigning performance analysis tools for machine learning S Amershi, M Chickering, SM Drucker, B Lee, P Simard, J Suh Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015 | 328 | 2015 |
| Boosting performance in neural networks H Drucker, R Schapire, P Simard International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993 | 320 | 1993 |
| Designing human friendly human interaction proofs (HIPs) K Chellapilla, K Larson, P Simard, M Czerwinski Proceedings of the SIGCHI conference on Human factors in computing systems …, 2005 | 311 | 2005 |
