Paolo Frasconi

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Marco GoriProfessor of Computer Science, University of SienaZweryfikowany adres z dii.unisi.it
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARZweryfikowany adres z umontreal.ca
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonZweryfikowany adres z iit.it
Marco LippiUniversity of FlorenceZweryfikowany adres z unifi.it
Pierre BaldiProfessor, University of California, IrvineZweryfikowany adres z ics.uci.edu
Alessio CeroniSoftware Engineer at Genedata GmbHZweryfikowany adres z genedata.com
Gianluca PollastriAssociate Professor, University College DublinZweryfikowany adres z ucd.ie
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoZweryfikowany adres z kaust.edu.sa
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineZweryfikowany adres z ics.uci.edu
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenZweryfikowany adres z cpr.ku.dk
Burkhard RostProfessor of Computer Science, Technical University MunichZweryfikowany adres z tum.de
Fabio RoliProfessor, University of Genova and Cagliari, ItalyZweryfikowany adres z unige.it
Niels LandwehrProfessor, University of HildesheimZweryfikowany adres z uni-hildesheim.de
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowZweryfikowany adres z cs.tu-darmstadt.de
Stephen MuggletonImperial College LondonZweryfikowany adres z imperial.ac.uk
Antonio RosatoAssociate Professor of Chemistry, University of FlorenceZweryfikowany adres z unifi.it

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Paolo Frasconi

Professor of Computer Science, Università di Firenze

Zweryfikowany adres z dsi.unifi.it - Strona główna

Machine Learning Neural Networks Relational Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	13400	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	2834	2001
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	901	2018
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	856	2013
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	707	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	668	1998
Forward and reverse gradient-based hyperparameter optimization L Franceschi, M Donini, P Frasconi, M Pontil International conference on machine learning, 1165-1173, 2017	541	2017
An input output HMM architecture Y Bengio, P Frasconi Advances in neural information processing systems 7, 1994	530	1994
Modeling the Internet and the Web P Baldi, P Frasconi, P Smyth Wiley, 2003	509	2003
Input-output HMMs for sequence processing Y Bengio, P Frasconi IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996	458	1996
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	438	1993
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	422	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	400	1995
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	204	2004
Disulfide connectivity prediction using recursive neural networks and evolutionary information A Vullo, P Frasconi Bioinformatics 20 (5), 653-659, 2004	198	2004
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	163	2003
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	162	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	147	1996
Graph invariant kernels F Orsini, P Frasconi, L De Raedt Proceedings of the twenty-fourth international joint conference on …, 2015	146	2015

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