| 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 | 12452 | 1994 |
| Gradient flow in recurrent nets: the difficulty of learning long-term dependencies S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber A field guide to dynamical recurrent neural networks. IEEE Press, 2001 | 2666 | 2001 |
| Short-term traffic flow forecasting: An experimental comparison of time-series analysis and supervised learning M Lippi, M Bertini, P Frasconi IEEE Transactions on Intelligent Transportation Systems 14 (2), 871-882, 2013 | 774 | 2013 |
| Bilevel programming for hyperparameter optimization and meta-learning L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil International conference on machine learning, 1568-1577, 2018 | 760 | 2018 |
| Exploiting the past and the future in protein secondary structure prediction P Baldi, S Brunak, P Frasconi, G Soda, G Pollastri Bioinformatics 15 (11), 937-946, 1999 | 684 | 1999 |
| A general framework for adaptive processing of data structures P Frasconi, M Gori, A Sperduti IEEE transactions on Neural Networks 9 (5), 768-786, 1998 | 644 | 1998 |
| An input output HMM architecture Y Bengio, P Frasconi Advances in neural information processing systems 7, 1994 | 523 | 1994 |
| Modeling the Internet and the Web P Baldi, P Frasconi, P Smyth Wiley, 2003 | 507 | 2003 |
| Forward and reverse gradient-based hyperparameter optimization L Franceschi, M Donini, P Frasconi, M Pontil International Conference on Machine Learning, 1165-1173, 2017 | 449 | 2017 |
| Input-output HMMs for sequence processing Y Bengio, P Frasconi IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996 | 445 | 1996 |
| DISULFIND: a disulfide bonding state and cysteine connectivity prediction server A Ceroni, A Passerini, A Vullo, P Frasconi Nucleic acids research 34 (suppl_2), W177-W181, 2006 | 417 | 2006 |
| Learning without local minima in radial basis function networks M Bianchini, P Frasconi, M Gori IEEE transactions on neural networks 6 (3), 749-756, 1995 | 393 | 1995 |
| 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 | 388 | 1993 |
| Local feedback multilayered networks P Frasconi, M Gori, G Soda Neural computation 4 (1), 120-130, 1992 | 281 | 1992 |
| New results on error correcting output codes of kernel machines A Passerini, M Pontil, P Frasconi IEEE transactions on neural networks 15 (1), 45-54, 2004 | 200 | 2004 |
| Disulfide connectivity prediction using recursive neural networks and evolutionary information A Vullo, P Frasconi Bioinformatics 20 (5), 653-659, 2004 | 199 | 2004 |
| Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines Y Yao, GL Marcialis, M Pontil, P Frasconi, F Roli Pattern Recognition 36 (2), 397-406, 2003 | 166 | 2003 |
| Hidden tree Markov models for document image classification M Diligenti, P Frasconi, M Gori IEEE Transactions on pattern analysis and machine intelligence 25 (4), 519-523, 2003 | 158 | 2003 |
| Representation of finite state automata in recurrent radial basis function networks P Frasconi, M Gori, M Maggini, G Soda Machine Learning 23, 5-32, 1996 | 146 | 1996 |
| kFOIL: Learning simple relational kernels N Landwehr, A Passerini, L De Raedt, P Frasconi Aaai 6, 389-394, 2006 | 141 | 2006 |
Marco GoriProfessor of Computer Science, University of Siena在 dii.unisi.it 的电子邮件经过验证
