Paolo Frasconi
Paolo Frasconi
Professor of Computer Science, Università di Firenze
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Zitiert von
Zitiert von
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
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
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
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
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
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
An input output HMM architecture
Y Bengio, P Frasconi
Advances in neural information processing systems 7, 1994
Modeling the Internet and the Web
P Baldi, P Frasconi, P Smyth
Wiley, 2003
Input-output HMMs for sequence processing
Y Bengio, P Frasconi
IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996
Forward and reverse gradient-based hyperparameter optimization
L Franceschi, M Donini, P Frasconi, M Pontil
International Conference on Machine Learning, 1165-1173, 2017
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
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
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
Local feedback multilayered networks
P Frasconi, M Gori, G Soda
Neural computation 4 (1), 120-130, 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
Disulfide connectivity prediction using recursive neural networks and evolutionary information
A Vullo, P Frasconi
Bioinformatics 20 (5), 653-659, 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
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
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
kFOIL: Learning simple relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Aaai 6, 389-394, 2006
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