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Chapters in Books

1. ``Clustering XML Documents using Self-Organizing Maps for Structures'', LNCS 3977, Lecture Notes in Computer Science, pp. 481-496, 2005, Springer-Verlag.
2. ``A novel approach to QSPR/QSAR based on Neural Networks for Structures'', A. M. Bianucci, A. Micheli, A. Sperduti, and A. Starita, in ``Soft Computing Approaches in Chemistry'', Eds. L. Sztandera and H. Cartwright, Studies in Fuzziness and Soft Computing, Vol. 120, pp. 265-296, 2003, Springer-Verlag.
3. ``From Sequences to Data Structures: Theory and Applications'', Frasconi P., Gori M., Kuchler A., Sperduti A., in ``Dynamical Recurrent Networks'', Eds. J. Kolen and S.C. Kremer, pp. 351-374, IEEE Press, 2001.
4. ``On the Need for a Neural Abstract Machine'', D. Sona, A. Sperduti, in ``Sequence Learning: Paradigms, Algorithms, and Applications'', Eds. Ron Sun and Lee Giles, LNCS deluxe edition, Springer-Verlag. Vol. 1828, pp. 135-162, 2000.
5. ``Learning Techniques for Supervised Fuzzy Classifiers'', F. Masulli, A. Sperduti, in ``Fuzzy Learning and Applications'', Eds. L.C. Jain amd M. Russo, CRC Press, USA. pp. 147-169, 2000.
6. ``Integration of Graphical-Based Rules with Adaptive Learning of Structured Information''. Frasconi P., Gori M., Sperduti A., in ``Hybrid Neural Systems'', Eds. S. Wermter and R. Sun, Springer-Verlag, Lecture Notes in Artificial Intelligence, Vol. 1778, pp. 211-225, 2000.
7. ``A Tutorial on Neurocomputing of Structures'', A. Sperduti, in Knowledge-based Neurocomputing, Ed. J. Zurada and I. Cloete, pp. 117-154, MIT Press, 2000.
8. ``A Neural-based System for the Automatic Classification and Follow-up of Diabetic Retinopsthies'', Starita A., Sperduti A., In ``Artificial Neural Networks in Biomedicine'', Eds. E. Ifeachor and P. Lisboa, pp. 233-247, Springer-Verlag, 2000.
9. ``Neural Networks for Processing Data Structures'', A. Sperduti, in Adaptive Processing of Temporal Information, Ed. C. L. Giles and M. Gori. LNAI 1387, Springer-Verlag, pp. 121-144, 1998.