Paolo Frasconi

Cited by

	All	Since 2015
Citations	15965	8880
h-index	46	27
i10-index	106	54

2200

1100

550

1650

19941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202042 58 148 137 120 138 183 174 225 344 374 481 444 516 533 479 444 446 502 517 532 653 1028 1317 1841 2181 1856

Co-authors

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
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
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, TU DarmstadtVerified email at cs.tu-darmstadt.de
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at in.tum.de
Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIVerified email at idsia.ch
Niels LandwehrProfessor, University of PotsdamVerified email at cs.uni-potsdam.de
Fabio RoliProfessor, University of Cagliari, ItalyVerified email at diee.unica.it
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	5788	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	1316	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	559	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	497	1998
Modeling the Internet and the Web P Baldi, P Frasconi, P Smyth Wiley, 2003	488	2003
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic Inductive Logic Programming, 1-27, 2008	460	2008
An input output HMM architecture Y Bengio, P Frasconi Advances in neural information processing systems, 427-434, 1995	421	1995
Input-output HMMs for sequence processing Y Bengio, P Frasconi IEEE Transactions on Neural Networks 7 (5), 1231-1249, 1996	388	1996
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	358	2013
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	352	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	344	2006
Local feedback multilayered networks P Frasconi, M Gori, G Soda Neural computation 4 (1), 120-130, 1992	265	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	193	1993
Disulfide connectivity prediction using recursive neural networks and evolutionary information A Vullo, P Frasconi Bioinformatics 20 (5), 653-659, 2004	184	2004
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	176	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	146	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	134	2003
Bilevel programming for hyperparameter optimization and meta-learning L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil arXiv preprint arXiv:1806.04910, 2018	132	2018
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
kFOIL: Learning simple relational kernels N Landwehr, A Passerini, L De Raedt, P Frasconi Aaai 6, 389-394, 2006	128	2006

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors