Paolo Frasconi
Socio Ordinario
Università di Firenze
Contact Information
website
RESEARCH AREA
structural genomics,machine learning
RESEARCH ACTIVITY
Apprendimento automatico: Reti neurali modelli probabilistici e kernels per dati strutturati e relazionali. Applicazioni al linguaggio naturale. Applicazioni al riconoscimento di forme. Applicazioni alla bioinformatica: predizione de novo di strutture 3D e di caratteristiche strutturali e fisico-chimiche delle proteine.
SELECTED PUBLICATIONS
Libri:
P. Baldi, P. Frasconi and P. Smyth. Modeling the Internet and the Web : Probabilistic Methods and Algorithms. Wiley, 2003.
P. Frasconi and R. Shamir (Eds.) Artificial Intelligence and Heuristic Methods for Bioinformatics, IOS Press 2003.
Articoli su rivista recenti:
A. Passerini and P. Frasconi. Learning to discriminate between ligand bound and disulfide bound cysteines, Prot. Eng. 2004.
A. Vullo and P. Frasconi. Disulfide Connectivity Prediction Using Recursive Neural Networks and Multiple Alignments. Bioinformatics 20(5):653-9 2004.
A. Passerini, M. Pontil and P. Frasconi. New Results on Error Correcting Codes of Kernel Machines. IEEE Trans. on Neural Networks 15(1):45-54, 2004.
A. Ceroni, Frasconi P., A. Passerini, A. Vullo. Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines Journal of VLSI SIgnal Processing. 35(3):287--295, 2003.
A. Vullo and P. Frasconi Prediction of Protein Coarse Contact Maps, Journal of Bioinformatics and Computational Biology 1(2):411--422, 2003.
P. Sturt, F. Costa, V. Lombardo and P. Frasconi. Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks. Cognition 88(2):133-169, 2003.
M. Diligenti, P. Frasconi and M. Gori. Hidden Tree Markov Models for Document Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(4): 519-523, 2003.
Y. Yao, G.L. Marcialis, M. Pontil, P. Frasconi and F. Roli. Combining Flat and Structured Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machines'', Pattern Recognition, 36(2): 397-406, 2003.
Altri articoli su rivista:
P. Baldi, S. Brunak, P. Frasconi, G. Pollastri and G. Soda. Exploiting the past and the future in protein secondary structure prediction, Bioinformatics, vol. 15 no. 11, 1999.
P. Frasconi, M. Gori and A. Sperduti. A general framework for adaptive processing of data structures, IEEE Transactions on Neural Networks, vol. 9, no. 5, p. 768-786, 1998.
Y. Bengio and P. Frasconi. Input/Output HMMs for Sequence Processing, IEEE Transactions on Neural Networks, vol. 7, no. 5, p. 1231--1249, 1996.
Y. Bengio, P. Simard and P. Frasconi. Learning Long-Term Dependencies with Gradient Descent is Difficult, IEEE Transactions on Neural Networks, vol. 5, no. 2, p. 157--166, 1994.
P. Baldi, P. Frasconi and P. Smyth. Modeling the Internet and the Web : Probabilistic Methods and Algorithms. Wiley, 2003.
P. Frasconi and R. Shamir (Eds.) Artificial Intelligence and Heuristic Methods for Bioinformatics, IOS Press 2003.
Articoli su rivista recenti:
A. Passerini and P. Frasconi. Learning to discriminate between ligand bound and disulfide bound cysteines, Prot. Eng. 2004.
A. Vullo and P. Frasconi. Disulfide Connectivity Prediction Using Recursive Neural Networks and Multiple Alignments. Bioinformatics 20(5):653-9 2004.
A. Passerini, M. Pontil and P. Frasconi. New Results on Error Correcting Codes of Kernel Machines. IEEE Trans. on Neural Networks 15(1):45-54, 2004.
A. Ceroni, Frasconi P., A. Passerini, A. Vullo. Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines Journal of VLSI SIgnal Processing. 35(3):287--295, 2003.
A. Vullo and P. Frasconi Prediction of Protein Coarse Contact Maps, Journal of Bioinformatics and Computational Biology 1(2):411--422, 2003.
P. Sturt, F. Costa, V. Lombardo and P. Frasconi. Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks. Cognition 88(2):133-169, 2003.
M. Diligenti, P. Frasconi and M. Gori. Hidden Tree Markov Models for Document Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(4): 519-523, 2003.
Y. Yao, G.L. Marcialis, M. Pontil, P. Frasconi and F. Roli. Combining Flat and Structured Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machines'', Pattern Recognition, 36(2): 397-406, 2003.
Altri articoli su rivista:
P. Baldi, S. Brunak, P. Frasconi, G. Pollastri and G. Soda. Exploiting the past and the future in protein secondary structure prediction, Bioinformatics, vol. 15 no. 11, 1999.
P. Frasconi, M. Gori and A. Sperduti. A general framework for adaptive processing of data structures, IEEE Transactions on Neural Networks, vol. 9, no. 5, p. 768-786, 1998.
Y. Bengio and P. Frasconi. Input/Output HMMs for Sequence Processing, IEEE Transactions on Neural Networks, vol. 7, no. 5, p. 1231--1249, 1996.
Y. Bengio, P. Simard and P. Frasconi. Learning Long-Term Dependencies with Gradient Descent is Difficult, IEEE Transactions on Neural Networks, vol. 5, no. 2, p. 157--166, 1994.
