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``An Introduction to Recursive Neural Networks and Kernel Methods for Cheminformatics'',
Micheli A., Sperduti A., Starita A., Current Pharmaceutical Design, 13,
``Solving and learning a tractable class of soft temporal problems: theoretical and experimental
L. Khatib, P. Morris, R. Morris, F. Rossi, A. Sperduti, K. Brent Venable,
AI Communications, special issue on Constraint Programming for Planning and Scheduling, to appear in 2007.
``Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks'',L. Bernazzani, C. Duce, A. Micheli, V. Mollica, A. Sperduti, A.Starita, and M.R. Tiné
, J. Chem. Inf. Model., 46(5), 2030-2042, 2006.
``The Loading Problem for Recursive Neural Networks'',
M. Gori, A. Sperduti, Neural Networks 18(8): 1064-1079. Special Issue on "Neural Networks and Kernel Methods for Structured Domains", 2005.
``Multiclass Classification with Multi-Prototype Support Vector Machines'',
F. Aiolli, A. Sperduti, Journal of Machine Learning Research. 6(May):817-850, 2005.
``A Preliminary Empirical Comparison
of Recursive Neural Networks and Tree kernel Methods on Regression Tasks for Tree Structured Domains'',
A. Micheli, F. Portera, A. Sperduti, Neurocomputing. Vol. 64 (March 2005), Pages 73-92, 2005
``Universal Approximation Capability of Cascade Correlation for Structures'',
B.Hammer, A. Micheli, A. Sperduti, Neural Computation. Forthcoming In VOL. 17, ISSUE 5 - MAY 2005.
``Acquiring both constraint and solution preferences'', F. Rossi, A. Sperduti,
Constraints, vol.9, Pages 311-332, 2004, Kluwer.
self-organizing network models'', B.Hammer, A. Micheli, A. Sperduti,
M.Strickert, Special issue on ``New Developments in Self-Organizing Systems'',
Neural Networks,Volume 17, Issues 8-9, October-November 2004, Pages 1061-1085.
Processing of Structured Data by Recursive Cascade Correlation.'',
A. Micheli, D. Sona, A. Sperduti, IEEE Transactions on Neural Networks, Vol. 15, n.6, pp. 1396-1410,
general framework for unsupervised processing of structured data'',
B.Hammer, A.Micheli, M.Strickert, A.Sperduti, Neurocomputing, Vol.
57, Page(s): 3-35, March 2004.
Map for Adaptive Processing of Structured Data'', M. Hagenbuchner,
A. Sperduti, A.C. Tsoi, IEEE Transactions on Neural Networks, Volume:
14 Issue: 3, May 2003 Page(s): 491 -505.
and Experimental Analysis of a Two-Stage System for Classification'',
N. Giusti, F. Masulli, A. Sperduti. IEEE Trans. PAMI.Volume: 24
Issue: 7, Jul 2002, pp. 893-904.
Re-weighting Strategy for Improving Margins'', F. Aiolli, A. Sperduti.
Intelligence, Elsevier. Volume 137, Issues 1-2 , May 2002, pp. 197-216.
of the Internal Representations Developed by Neural Networks for Structures
Applied to QSAR Studies of Benzodiazepines'', A. M. Bianucci, A. Micheli,
A. Sperduti, A. Starita. Journal of Chemical Information and Computer
Sciences, Vol. 41, no. 1, pp. 202-218, 2001.
Pattern Recognition Using Transformation Invariant Neurons'', D. Sona,
A. Sperduti, and A. Starita. Neural Computation. Vol. 12, n. 6,
pp. 1355-1370, Giugno 2000.
of Cascade-Correlation Networks for Structures to Chemistry'', Applied
Intelligence, Bianucci A.M., Micheli A., Sperduti A., Starita A., Special
Issue on ``Neural Networks and Structured Knowledge'', Vol. 12, n. 1/2,
pp. 117-147, Gennaio-Aprile 2000.
the Implementation of Frontier-to-Root Tree Automata in Recursive Neural
Networks'', M. Gori, Andreas Kuchler, and A. Sperduti.
on Neural Networks, Vol. 10, n. 6, pp. 1305-1314, Novembre 1999.
general framework for adaptive processing of data structures'', P.
Frasconi, M. Gori, and A. Sperduti.
IEEE Transactions on Neural Networks.
Vol. 9, No. 5, pp. 768-786, 1998.
Solution Preferences in Constraint Problems'', F. Rossi, A. Sperduti.
of Experimental and Theoretical Artificial Intelligence. Vol 10, pp.
Specialization in Networks of Fuzzy Basis Functions'', F. Casalino,
F. Masulli, and A. Sperduti. Intelligent Automation and Soft Computing,
Vol. 4, No. 1, pp. 73-82, 1998.
Alessandro Sperduti 2004-06-17