Paolo Frasconi

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Marco GoriProfessor of Computer Science, University of SienaVerified email at dii.unisi.it
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Marco LippiUniversity of Modena and Reggio EmiliaVerified email at unimore.it
Alessio CeroniSoftware Engineer at Genedata GmbHVerified email at genedata.com
Gianluca PollastriAssociate Professor, University College DublinVerified email at ucd.ie
Padhraic SmythProfessor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU Darmstadt, GermanyVerified email at cs.tu-darmstadt.de
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIVerified email at idsia.ch
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at tum.de
Fabio RoliProfessor, University of Cagliari, ItalyVerified email at diee.unica.it
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Niels LandwehrProfessor, University of PotsdamVerified email at cs.uni-potsdam.de
Antonio RosatoUniversity of FlorenceVerified email at cerm.unifi.it

Paolo Frasconi

Professor of Computer Science, Università di Firenze

Verified email at dsi.unifi.it - Homepage

Machine Learning Neural Networks Relational Learning


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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	6615	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	1589	2001
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	574	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	513	1998
Modeling the Internet and the Web P Baldi, P Frasconi, P Smyth Wiley, 2003	492	2003
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic Inductive Logic Programming, 1-27, 2008	478	2008
An input output HMM architecture Y Bengio, P Frasconi Advances in neural information processing systems, 427-434, 1995	451	1995
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	429	2013
Input-output HMMs for sequence processing Y Bengio, P Frasconi IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996	398	1996
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	360	1995
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	356	2006
Local feedback multilayered networks P Frasconi, M Gori, G Soda Neural computation 4 (1), 120-130, 1992	266	1992
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	223	1993
Disulfide connectivity prediction using recursive neural networks and evolutionary information A Vullo, P Frasconi Bioinformatics 20 (5), 653-659, 2004	189	2004
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	183	2018
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	181	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	149	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	139	2003
Representation of finite state automata in recurrent radial basis function networks P Frasconi, M Gori, M Maggini, G Soda Machine Learning 23 (1), 5-32, 1996	130	1996
Forward and reverse gradient-based hyperparameter optimization L Franceschi, M Donini, P Frasconi, M Pontil International Conference on Machine Learning, 1165-1173, 2017	127	2017

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