Paolo Frasconi

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Marco GoriProfessor of Computer Science, University of SienaAdresse e-mail validée de dii.unisi.it
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARAdresse e-mail validée de umontreal.ca
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonAdresse e-mail validée de iit.it
Marco LippiUniversity of FlorenceAdresse e-mail validée de unifi.it
Pierre BaldiProfessor, University of California, IrvineAdresse e-mail validée de ics.uci.edu
Alessio CeroniSoftware Engineer at Genedata GmbHAdresse e-mail validée de genedata.com
Gianluca PollastriAssociate Professor, University College DublinAdresse e-mail validée de ucd.ie
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoAdresse e-mail validée de kaust.edu.sa
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineAdresse e-mail validée de ics.uci.edu
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenAdresse e-mail validée de cpr.ku.dk
Niels LandwehrProfessor, University of HildesheimAdresse e-mail validée de uni-hildesheim.de
Burkhard RostProfessor of Computer Science, Technical University MunichAdresse e-mail validée de tum.de
Fabio RoliProfessor, University of Genova and Cagliari, ItalyAdresse e-mail validée de unige.it
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CAIRNE & ELLISAdresse e-mail validée de cs.tu-darmstadt.de
Stephen MuggletonImperial College LondonAdresse e-mail validée de imperial.ac.uk
Antonio RosatoAssociate Professor of Chemistry, University of FlorenceAdresse e-mail validée de unifi.it

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Paolo Frasconi

Professor of Computer Science, Università di Firenze

Adresse e-mail validée de dsi.unifi.it - Page d'accueil

Machine Learning Neural Networks Relational Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	13088	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	2783	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	850	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	821	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	699	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	657	1998
An input output HMM architecture Y Bengio, P Frasconi Advances in neural information processing systems 7, 1994	529	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	506	2017
Input-output HMMs for sequence processing Y Bengio, P Frasconi IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996	453	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	423	2006
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	420	1993
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	396	1995
Local feedback multilayered networks P Frasconi, M Gori, G Soda Neural computation 4 (1), 120-130, 1992	283	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	203	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	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
Whole-brain vasculature reconstruction at the single capillary level AP Di Giovanna, A Tibo, L Silvestri, MC Müllenbroich, I Costantini, ... Scientific reports 8 (1), 12573, 2018	143	2018

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