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International Conferences

  1. ``Indices to Evaluate Self-Organizing Maps for Structures,'',Jochen J. Steil, and Alessandro Sperduti, WSOM 2007, Accepted.

  2. ``Efficient Computation of Recursive Principal Component Analysis for Structured Input,'', Alessandro Sperduti, ECML 2007, Accepted.

  3. ``Recursive Principal Component Analysis of Graphs,'', Alessio Micheli, and Alessandro Sperduti, ICANN 2007, Accepted.

  4. `` Preference Learning for Category-Ranking based Interactive Text Categorization,'', Fabio Aiolli, Fabrizio Sebastiani, and Alessandro Sperduti, IJCNN 2007, Accepted.

  5. ``"Kernelized" Self-Organizing Maps for Structured Data,'', Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, and Alessandro Sperduti, ESANN 2007, Accepted.

  6. ``Efficient Kernel-based Learning for Trees,'', Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, and Alessandro Moschitti, CIDM 2007, pp. 308-315, 2007.

  7. ``Fast On-line Kernel Learning for Trees,'', Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, and Alessandro Moschitti, ICDM 2006, pp. 787-791, 2006 (short paper).

  8. ``Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees,'', Alessandro Sperduti, ICANN 2006, Springer, 349-356.

  9. ``A Self-Organising Map Approach for Clustering of XML Documents'', Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli and Ah Chung Tsoi, WCCI 2006, IEEE Press, 3471-3478.

  10. ``Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD'', J. J. Steil, R. Koiva, A. Sperduti, ESANN 2006, 1-6.

  11. ``Self-Organizing Maps for Time Series'', B.Hammer, A.Micheli, N.Neubauer, A.Sperduti, M.Strickert, WSOM 2005, 115-122, (invited planary talk: B. Hammer).

  12. ``Contextual Processing of Graphs using Self-Organizing Maps'', M. Hagenbuchner, A. Sperduti, A.C. Tsoi, ESANN 2005, 399-404.

  13. ``Learning Preferences for Multiclass Problems'', F. Aiolli, A. Sperduti, NIPS 2004, 17-24, MIT Press, 2005.

  14. ``A generalized quadratic loss for Support Vector Machines'', F. Portera, A. Sperduti, 16th European Conference on Artificial Intelligence, August 2004 Valencia, Spain. ECAI 2004: 628-634.

  15. ``A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks'', A. Micheli, F. Portera, A. Sperduti, in: M.Verleysen (ed.), European Symposium on Artificial Neural Networks'2004, D-side publications, Pages: 293-298, 2004.

  16. ``Multi-prototype Support Vector Machines'', F. Aiolli, A. Sperduti, 18th International Joint Conference on Artificial Intelligence 2003, Acapulco, Mexico, August 9-15, 2003, Pages: 541-546.

  17. ``Speeding up the solution of multilabel problems with Support Vector Machines'', F. Aiolli, F. Portera, A. Sperduti, Joint 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing, ICANN/ICONIP 2003, June 26-29, 2003, Istanbul, TURKEY, supplementary proceedings, Pages: 118-121.

  18. ``Formal Determination of Context in Contextual Recursive Cascade Correlation Networks'', A. Micheli, D. Sona, A. Sperduti, Joint 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing, ICANN/ICONIP 2003, June 26-29, 2003, Istanbul, TURKEY, LNCS, Volume 2714, Pages: 173-180, Springer-Verlag Heidelberg.

  19. ``Discretizing continuous attributes in AdaBoost for text categorization'', P. Nardiello, F. Sebastiani, A. Sperduti. 25th European Conference on Information Retrieval Research, April 14-16, 2003, Pisa, Italy, LNCS, Volume 2633, Pages: 320-334, Springer-Verlag Heidelberg.

  20. ``On linear Separability of Sequences and Structures'', A. Sperduti, in: J.R.Dorronsoro (Ed.), Artificial Neural Networks - ICANN 2002, Madrid, Spain, August 28-30, 2002, LNCS, Volume 2415 Springer, Pages: 601-606, Springer-Verlag Heidelberg. (Note: unfortunately, indexes into the first eq. of page 3 are not correct. For correct notation, please see the paper's slides.)

  21. ``Learning and Solving Soft Temporal Constraints: An Experimental Study'', F. Rossi, A. Sperduti, K.B. Venable, L. Khatib, P. Morris, R. Morris, Proc. CP 2002, Springer Verlag, LNCS, Ithaca, NY, September 2002.

  22. ``An efficient SMO-like algorithm for multiclass SVM'', Aiolli, F.; Sperduti, A., , Proceedings of the 2002 12th IEEE Workshop on Neural Networks for Signal Processing, 2002, pp. 297-306.

  23. ``A general framework for unsupervised processing of structured data'', B. Hammer, A. Micheli, A. Sperduti, in: M.Verleysen (ed.), European Symposium on Artificial Neural Networks'2002, D-side publications, 389-394, 2002.

  24. ``Recursive Cascade Correlation for Contextual Processing of Structured Data''. A. Micheli, D. Sona, A. Sperduti. International Joint Conference on Neural Network 2002, Hawaii, USA. Volume: 1 , 2002 pp. 268 -273.

  25. ``Modelling in the neural abstract machine framework''. D. Sona, A. Sperduti. NATO Advanced Research Workshop on ``Limitations and Future Trends in Neural Computation'', Siena, 22-24 October 2001, pp. 99-108.

  26. ``Self-organizing maps for structured data''. M. Hagenbuchner, A. Sperduti, A-C. Tsoi. NATO Advanced Research Workshop on ``Limitations and Future Trends in Neural Computation'', Siena, 22-24 October 2001, pp. 89-98.

  27. ``A Simple Additive Re-weighting Strategy for Improving Margins'', F. Aiolli, A. Sperduti. International Joint Conference on Artificial Intelligence , 2001 (IJCAI'01), Seattle, vol. 2, 927-32.

  28. ``Neural Networks for Adaptive Processing of Data Structures''. A. Sperduti. International Conference on Artificial Neural Networks, Aug. 21-25, 2001 Vienna. pp. 5-12, (invited plenary talk).

  29. ``Design of New Biologically Active Molecules by Recursive Neural Networks''. A. Micheli, A. Sperduti, A. Starita, A. M. Bianucci. International Joint Conference on Neural Network 2001, Washington, DC, Vol. 4, pp 2732-2737.

  30. ``Learning preferences on temporal constraints: a preliminary report''. F. Rossi, A. Sperduti, L. Khatib, P. Morris, R. Morris. Proc. TIME 2001, IEEE Computer Society Press, June 2001, vol. 1, 63-68, 2001.

  31. ``A supervised self-organising map for structured data''. M. Hagenbuchner, A. C. Tsoi, A. Sperduti.Proc. WSOM 2001: Advances in Self-Organising Maps. pp. 21-28. Springer, June 2001.

  32. ``An improved boosting algorithm and its application to automated text categorization''. F. Sebastiani, A. Sperduti, and N. Valdambrini. In A. Agah, J. Callan, and E. Rundensteiner, editors, Proceedings of CIKM-00, 9th ACM International Conference on Information and Knowledge Management, pages 78-85, McLean, US, 2000. ACM Press, New York, US.

  33. ``Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations'' P. Frasconi, M. Gori, A. Sperduti. European Conference on Artificial Intelligence, 2000 (ECAI 2000), pp. 301-305, 2000.

  34. ``Bi-causal Recurrent Cascade Correlation'' A. Micheli, D. Sona, A. Sperduti, International Joint Conference on Neural Networks 2000, Vol. 3, pag. 3-8, 2000.

  35. ``Experimental results on Learning Soft Constraints'', A. Biso, F. Rossi, A. Sperduti, in Proc. KR 2000 (7th Int. Conf. on Principles of Knowledge Representation and Reasoning), Breckenridge, CO, USA, April 12-15, Morgan Kaufmann 2000, pp. 435-444, 2000.

  36. ``Optical Font Recognition for Multi-Font OCR and Document Processing'' S. La Manna, A.M. Colla, A. Sperduti. 10th International Workshop on Database and Expert Systems Applications, 1-3 September, 1999, Firenze. pp. 549-553. IEEE Press.

  37. ``A Multiple Classifier Systems for the Automatic Detection of Anomalies in Retinas of Diabetic Patients'' M. Morganti, A. Sperduti, A. Starita. 3rd International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, 2-4 September, 1998, Pisa. pp. 101-108. World Scientific.

  38. ``Quantitative Structure-Activity Relationships of Benzodiazepines by Recursive Cascade Correlation'', A. M. Bianucci, A. Micheli, A. Sperduti, A. Starita. Proceeding International Joint Conference on Neural Networks , 1998 (IJCNN'98). Anchorage. pp. 117-122.

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Alessandro Sperduti 2004-06-17