My CV

Publications

International journals

  1. M. Bianchini, M. Gori, and M. Maggini, "On the Problem of Local Minima in Recurrent Neural Networks," IEEE Transactions on Neural Networks, Special Issue on Dynamic Recurrent Neural Networks, March 1994, pp. 167-177.
  2. P. Frasconi, M. Gori, M. Maggini, and G. Soda, `"Unified Integration of Explicit Rules and Learning by Example in Recurrent Networks," IEEE Transactions on Knowledge and Data Engineering, April 1995, vol. 7, n. 2, pp. 340-346.
  3. P. Frasconi, M. Gori, M. Maggini, and G. Soda, "Representation of Finite State Automata in Recurrent Radial Basis Function Networks," Machine Learning, 23, pp. 5-32 (1996).
  4. M. Gori and M. Maggini, "Optimal Convergence of On-Line Backpropagation," IEEE Transactions on Neural Networks, Vol. 7, No. 1, pp. 251-253, January 1996.
  5. M. Bianchini, S. Fanelli, M. Gori, and M. Maggini, "Terminal Attractor Algorithms: A Critical Analysis," Neurocomputing, 15 (1997) pp. 3-13.
  6. M. Gori, M. Maggini, E. Martinelli and G. Soda, "Inductive Inference from Noisy Examples Using the Hybrid Finite State Filter," IEEE Transactions on Neural Networks, Vol. 9, No. 3, pp. 571--575, May 1998.
  7. M. Gori, M. Maggini and E. Martinelli, "A Voice Device for X11 Pointer Control," AMSE Journal on Advances in Modeling & Analysis, Special Issue on ISIS'97, pp. 83-89.

Book chapters

  1. 1. M. Maggini, C. Lee Giles and Bill G. Horne, "Financial Time Series Forecasting Using K-Nearest Neighbors Prediction," in Nonlinear Financial Forecasting, Proceedings of the First INFFC, Randall B. Caldwell Eds. Finance & Technology Publishers, 1997, pp. 169-181.
  2. M. Bianchini, P. Frasconi, M. Gori and M. Maggini, "Optimal Learning in Artificial Neural Networks," in Neural Network Systems Techniques and Applications, Volume 2: Optimization Techniques, Cornelius T. Leondes Eds, Academic Press, 1998, pp. 1-51.
  3. M. Maggini, "Recursive Neural Networks abd Automata," in Adaptive Processing of Sequences and Data Structures, C. L. Giles and M. Gori Eds., Springer-Verlag, 1998, pp. 248-295.

 International conferences and workshops

  1. M. Bianchini, M. Gori, and M. Maggini, "Does Terminal Attractor Backpropagation Guarantee Global Optimization?,'' Proceedings of ICANN 94, Sorrento (Italy), May 1994, vol. 1, part 2, pp. 377-380, Maria Marinaro e Pietro G. Morasso Eds.
  2. M. Gori, M. Maggini, and G. Soda, "Inductive Inference with Recurrent Radial Basis Function Networks,'' Proceedings of ICANN 94, Sorrento (Italy), May 1994, vol. 1, part 2, pp. 238--241, Maria Marinaro e Pietro G. Morasso Eds.
  3. M. Gori, M. Maggini, and G. Soda, "Scheduling of Modular Architectures for Inductive Inference of Regular Grammars,'' Proceedings of the workshop on Combining Symbolic and Connectionist Processing, ECAI '94, Amsterdam, August 9, 1994, pp. 78-87.
  4. P. Frasconi, M. Gori, M. Maggini, and G.Soda, "Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis,'' Workshop at the International Conference on Logic Programming ICLP'94, "Logic and Reasoning with Neural Networks" , S. Margherita Ligure (Italy), June 17, 1994.
  5. M. Bianchini, M. Gori, and M. Maggini, "The Decoupling Network Assumptions for Optimal Learning in Recurrent Neural Networks,'' Proceedings of the Neuro-Mimetiques'94, Marsiglia, December 15-16, 1994, pp. 255-264.
  6. M. Gori, M. Maggini, and G. Soda, "Inductive Inference of Regular Grammars from Noisy Examples with Recurrent Neural Networks,'' in Machine Learning and Perception, G. Tascini, F. Esposito, V. Roberto, and P. Zingaretti Eds, World Scientific, pp. 157-164.  (WAAP 95, Ancona, 22-23 Giugno 1995).
  7. L. Lastrucci and M. Maggini, "Neural Networks for Rainfall Forecasting,'' Intelligent Systems, E.A. Yfantis (ed.), Kluwer Academic Publishers, 1995, pp. 579-582.
  8. M. Bianchini, S. Fanelli, M. Gori, M. Maggini, and M. Protasi, "A Heuristic Global Optimization Algorithm for Training Recurrent Neural Networks,'' Proceedings of ICANN 95, Vol. I, pp. 601-605, Paris (France), October 1995.
  9. M. Gori, M. Maggini, and G. Soda,  "Learning finite state grammars from noisy examples using recurrent networks,'' Proc. of the International Conference on Neural Networks and their Applications, pp. 207-214, Marseille, 20-22 March 1996.
  10. M.F.  Sakr, C.L.  Giles, S.P.  Levitan, B.G.  Horne, M.  Maggini, D.M. Chiarulli, "On-Line Prediction of Multiprocessor Memory Access Patterns,'' Proceedings of the IEEE International Conference on Neural Networks, p. 1564-1569, (1996), (c).  Best Paper Award.
  11. M.F.  Sakr, S.P.  Levitan, C.L.  Giles, D.M.  Chiarulli, B.G.  Horne, M. Maggini, "Predictive Control of Opto-Electronic Reconfigurable Interconnection Networks Using Neural Networks, ''  2nd International Conference on Massively Parallel Processing Using Optical Interconnections, (ed.)  E.  Schenfeld, pp.  326-335, IEEE Computer Society Press, Los Alamitos, CA, October (1995) (c).
  12. M. Gori, M. Maggini, and G. Soda, "Inductive inference from noisy examples: The rule-noise dilemma and the hybrid finite state filter,''  Proceedings of ECAI96 Workshop 16 (Neural Networks and Structural Knowledge), pp. 53-58, Budapest, August 1996.
  13. M. Gori, M. Maggini, and E. Martinelli, "Web-Browser Access Through Voice Input and Page Interest Prediction,'' Proceedings of the sixth International Conference on User Modeling UM97, A. Jameson, C. Paris, and C. Tasso Eds, pp. 17-19, Chia Laguna, Sardinia, Italy, June 2-5 1997.
  14. M. Gori, M. Maggini, and E. Martinelli, "Connectionist-Based Information Retrieval,'' Proceedings of the SPIE's 42nd annual meeting, Vol. 3165, Applications of Soft Computing, pp. 78-85, San Diego, CA, USA, July 28-29 1997, Invited Paper.
  15. M. Gori, M. Maggini, and E. Martinelli, "A voice device for X11 pointer control,'' Advances in Intelligent Systems: Proceedings of the International Symposium on Itelligent Systems ISIS97, F.C. Morabito Eds, pp. 491-485, IOS Press, Reggio Calabria, Italy, September 1997 (also in AMSE Journal on Advances in Modeling & Analysis).
  16. M. Maggini, "Extraction of Frontier to Root Automata from Recursive Neural Networks," invited talk Postconference Workshop on Learning Dynamical Data Structures: from Sequences to Graphs, NIPS'97 (Breckenridge, CO, USA, December 5 1997). 
  17. M. Diligenti, M. Gori, M. Maggini, and E. Martinelli, "Adaptive Graphical Pattern Recognition: the Joint Role of Structure and Learning,'' Proceedings of the International Conference on Adavances in Pattern Recognition ICAPR98, Plymouth, UK, 23-25 November, 1998, Springer, pp. 425-432.
  18. M. L. Forcada, A. M. Corbì-Bellot, M. Gori and M. Maggini, "Neural Learning of Approximate Simple Regular Languages,"  ESANN'99, pp. 57-62, Bruges, Belgium, April 21-23, 1999.
  19. C. De Mauro, M. Gori, M. Maggini and E. Martinelli, "A Voice Device with an Application-adapted Protocol for Microsoft Windows,"  ICMCS'99 (IEEE Conference on Multimedia Computing and Systems), Vol. II, pp.1015-1016, Firenze, June 7-11, 1999.
  20. C. Goller, M. Gori and M. Maggini, "Feature Extraction from Data Structures with Unsupervised Recursive Neural Networks," Paper 781, IJCNN'99, Washington DC, USA, July 10-16, 1999.
  21. M. L. Forcada, A. M. Corbì-Bellot, M. Gori and M. Maggini, "Recurrent neural networks can learn simple approximate regular languages," Paper 2129, IJCNN'99, Washington DC, USA, July 10-16, 1999.

National conferences

  1. P. Frasconi, M. Gori, M. Maggini and G. Soda, "Learning Automata by Sigmoidal Recurrent Networks," Proc. of the Fourth Italian Workshop on Parallel Architecture and Neural Networks, pp. 69-777, Vietri sul Mare (Salerno), May 8-11 1991, World Scientific, Caianello (Ed.).
  2. P. Frasconi, M. Gori, M. Maggini and G. Soda, KL: A Neural Model for Capturing Structure in Speech,'' Proceedings of the Second Congress of the Italian Association for Artificial Intelligence, pp. 450-454, Lecture Notes in Artificial Intelligence, Springer-Verlag, Ardizzone and Gaglio(Eds.), Palermo, Italy,October 1991.
  3. P. Frasconi, M. Gori, M. Maggini, E. Martinelli, and G. Soda, "Inductive Inference of Tree Automata by Recursive Neural Networks,'' Proceedings of the Fifth Congress of the Italian Association for Artificial Intelligence, pp. 36-47, Rome, Italy, September 1997.

Technical Reports

  1. M. Gori, M.Maggini and E. Martinelli, "NAUTILUS: Navigate Autonomously and Target Interesting Links for Users,"  Technical Report RT-DII-20/99, Dipartimento di Ingegneria dell'Informazione, Università di Siena, 1999.