Monica Bianchini Publications

Monica Bianchini's Publications

INTERNATIONAL BOOKS

M. Bianchini, S. Fanelli, M. Gori, and M. Protasi, "Unimodal Loading Problems", Mathematics of Neural Networks: Models, Algorithms and Applications, Eds. S.W. Ellacott, J.C. Mason, and I.J. Anderson, Kluwer Academic Operations Research/Computer Science Interfaces, pp. 107-112, 1997.
M. Bianchini, P. Frasconi, M. Gori, and M. Maggini, "Optimal Learning in Artificial Neural Networks: A Theoretical View", in Neural Network Systems, Techniques and Applications, C. T. Leondes eds., vol. 2, Optimization Techniques, pp. 1-51, Academic Press, October 1997.
M. Bianchini, M. Gori, and F. Scarselli, "Recursive Networks: An Overview of Theoretical Results", in Neural Nets (WIRN Vietri-99), pp. 237-242, M. Marinaro and R. Tagliaferri eds., Springer, 1999.
M. Bianchini, M. Gori, and F. Scarselli, "Recursive Processing of Directed Acyclic Graphs", in Neural Nets (WIRN Vietri-01), pp. 96-101, M. Marinaro and R. Tagliaferri eds., Springer, 2001.
M. Bianchini, M. Gori, P. Mazzoni, L. Sarti, and F. Scarselli, "Face Localization with Recursive Neural Networks", in LNCS 2859 - Neural Nets, pp. 99-105, Springer, Heidelberg, 2003.
M. Bianchini, M. Gori, L. Sarti, and F. Scarselli, "BackPropagation Through Cyclic Sytructures", in LNCS 2829 - Advances in Artificial Intelligence, pp. 118-129, Springer, Heidelberg, 2003.
M. Bianchini, M. Gori, L. Sarti, and F. Scarselli, "Recursive Neural Networks and Graphs: Dealing with Cycles", in LNCS 3931 - Neural Nets, pp. 38-43, Springer, Heidelberg, 2005.
M. Bianchini, M. Maggini, and L. Sarti, "Recursive Neural Networks and Their Applications to Image Processing", in Advances in Imaging and Electron Physics, Volume 140, pp. 1-60, Elsevier Academic Press , Amsterdam, NL, 2006.
M. Bianchini, and L. Sarti, "An Eye Detection System Based on Neural Autoassociators", in LNCS 4087 - Artificial Neural in Pattern Recognition, pp. 244-252, Springer Heidelberg, 2006.
M. Bianchini, M. Maggini, and L. Sarti, "Object Recognition Using Multiresolution Trees", in LNCS 4109 - Structural, Syntactic, and Statistical Pattern Recognition, pp. 331-339, Springer Heidelberg, 2006.
M. Bianchini, E. Di Iorio, M. Maggini, and A. Pucci, "Cyclostationary Neural Networks for Air Pollutant Concentration Prediction", in LNCS 5064 - Artificial Neural Networks in Pattern Recognition, pp. 101-112, Springer, Heidelberg, 2008.
M. Bianchini, M. Maggini, S. Melacci, and L. Sarti, "A Neural Network Approach to Similarity Learning", in LNCS 5064 - Artificial Neural Networks in Pattern Recognition, pp. 133-137, Springer, Heidelberg, 2008.
M. Bianchini, M. Maggini, T. Papini, and L. Rigutini, "A Neural Network Approach for Learning Object Ranking", in LNCS 5164 - Artificial Neural Networks, pp. 899-908, Springer, Heidelberg, 2008.
M. Bianchini and F. Scarselli, "Artificial Neural Networks for Processing Graphs with Applications to Image Understanding: A Survey", in Multimedia Techniques for Device and Ambient Intelligence, pp. 179-199, E. Damiani and J. Jeong eds., Springer, Heidelberg, 2009.
M. Bianchini, M. Maggini, and L. Sarti, "Neural Processing of Structured Data", in Handbook on Reasoning-based Intelligent Systems, World Scientific Publishers. (To appear).
M. Bianchini, E. Di Iorio, M. Maggini, and A. Pucci, "Predicting gaseous and solid air pollution with cyclostationary neural networks", in Smog: Causes, Detection, and Health Effects, Nova Science Publishers. (To appear).
M. Bianchini, M. Maggini, and F. Scarselli, "Editorial for Advances in Neural Information Processing Paradigms", in Advances in Neural Information Processing Paradigms, M. Bianchini, M. Maggini, F. Scarselli, and L. Jain eds., Springer, Heidelberg. (To appear).

INTERNATIONAL JOURNALS

M. Bianchini, M. Gori, and M. Maggini, "On the Problem of Local Minima in Recurrent Neural Networks", IEEE Transactions on Neural Networks, vol. 5, no. 2, pp. 167-177, Special Issue on Dynamic Recurrent Neural Networks, March 1994.
M. Bianchini, P. Frasconi, and M. Gori, "Learning in Multilayered Networks Used as Autoassociators", IEEE Transactions on Neural Networks, vol. 6, no. 2, pp. 512-515, March 1995.
M. Bianchini, P. Frasconi, and M. Gori, "Learning without Local Minima in Radial Basis Function Networks", IEEE Transactions on Neural Networks, vol. 6, no. 3, pp. 749-756, May 1995.
D. Andreucci, M. Bianchini, and A. Pasquali, "Identification of Parameters in Polymer Crystallization" (extended version), Journal on Applied Numerical Mathematics, Special Issue for 14th IMACS World Congress on Computation and Applied Mathematics, no. 17, pp. 191-211, 1995.
M. Bianchini and M. Gori, "Optimal Learning in Artificial Neural Networks: A Review of Theoretical Results", Neurocomputing, vol. 13, no. 5, pp. 313-346, October 1996.
M. Bianchini, S. Fanelli, M. Gori, and M. Maggini, "Terminal Attractor Algorithms: A Critical Analysis", Neurocomputing, vol. 15, pp. 3-13, 1997.
M. Bianchini, S. Fanelli, and M. Gori, "Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations" , IEEE Transactions on Computers, vol. 50, no. 7, pp. 689-698, July 2001.
M. Bianchini, M. Gori, and F. Scarselli, "Theoretical Properties of Recursive Networks with Linear Neurons" , IEEE Transactions on Neural Networks, vol. 12, no. 5, pp. 953-967, September 2001
M. Bianchini, M. Gori, and F. Scarselli, " Processing Directed Acyclic Graphs with Recursive Neural Networks" , IEEE Transactions on Neural Networks, vol. 12, no. 6, pp. 1464-1470, November 2001.
M. Bianchini, M. Gori, and F. Scarselli, " Inside PageRank", ACM Transactions on Internet Technology, vol. 5, pp. 92-128, 2005.
M. Bianchini, M. Maggini, L. Sarti, and F. Scarselli, "Recursive Neural Networks learn to localize faces", Pattern Recognition Letters, vol. 26, pp. 1885-1895, 2005.
M. Bianchini, M. Maggini, L. Sarti, and F. Scarselli, "Recursive Neural Networks for Processing Graphs with Labelled edges: Theory and Applications", Neural Networks, vol. 18, pp. 1040-1050, 2005.
M. Bianchini, M. Gori, L. Sarti, and F. Scarselli, "Recursive Processing of Cyclic Graphs", IEEE Transactions on Neural Networks, vol. 17, pp. 10-18, 2006.
M. Bianchini and F. Scarselli, EDITORIAL for the Special Issue on "Pattern Recognition in Graphical Domains", Neurocomputing, M. Bianchini and F. Scarselli, Guest Editors. (To appear in December 2009).

INTERNATIONAL CONFERENCES

M. Bianchini and G. D'Urso, "IMSL Libraries Implementation on BULL GCOS8 Supermainframes: Getting an Optimized BLAS Level 1", Proceedings of IV IMSL User Group Europe Conference, section B-1, Paris, April 1991.
M. Bianchini, M. Gori, and M. Maggini, "Does Terminal Attractor Guarantee Global Convergence?", Proceedings of ICANN' 94, vol. 1, pp. 377-380, Sorrento (Italy), May 1994.
D. Andreucci, M. Bianchini, and A. Pasquali, "Identification of Parameters in Polymer Crystallization", Proceedings of 14th IMACS World Congress on Computation and Applied Mathematics, vol. 2, pp. 541-545, Atlanta, July 1994.
M. Bianchini, M. Gori, and M. Maggini, "The Decoupling Network Assumptions for Optimal Learning in Recurrent Neural Networks", Proceedings of Neuro-Mimetiques '94, pp. 255-264, Marseille, December 1994.
M. Bianchini, S. Fanelli, M. Gori and M. Protasi, "Optimal Learning and the Class of Unimodal Error Surface Loading Problems", Proceedings of MANNA '95, paper no. 42, Oxford, July 1995.
M. Bianchini, S. Fanelli, M. Gori, M. Maggini and M. Protasi, "A Heuristic Global Optimisation Algorithm for Training Recurrent Neural Networks", Proceedings of ICANN '95, Paris, October 1995.
M. Bianchini, S. Fanelli, M. Gori, and M. Protasi, "Terminal Attractor Algorithms and the Class of Unimodal Loading Problems", invited talk to IMACS '97, vol. 4, pp. 277-282, Berlin, August 1997.
M. Bianchini, S. Fanelli, M. Gori, and M. Protasi, "Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent", Proceedings of ICONIP'97 jointly with ANZIIS'97 and ANNES'97 (and in co-operation with IEEE NNC and INNS), vol. 1, pp. 531-534 (Springer-Verlag), Dunedin, New Zealand, November 1997.
M. Bianchini, S. Fanelli, M. Gori, and M. Protasi, "Non-suspiciousness: A generalisation of convexity in the frame of foundations of numerical analysis and learning", Proceedings of WCCI'98, World Congress on Computational Intelligence, vol. 2, pp. 1619-1623, Anchorage, Alaska, May 1998.
M. Bianchini, S. Fanelli, and M. Gori, "An Application of ELISA to Perfect Hashing with Deterministic Ordering", Proceedings of ICONIP'98, pp. 1619-1623, Kitakyushu, Japan, October 1998.
M. Bianchini, M. Gori, and F. Scarselli, "Computation Capabilities of Linear Recursive Networks ", Proceedings of KES 2000, pp. 462-465, Brighton (UK), August-September 2000.
M. Bianchini, M. Gori, and F. Scarselli, "Recursive Processing of Directed Cyclic Graphs". Proceedings of IEEE-WCCI-IJCNN 2002, pp. 154-159, Honolulu, Hawaii (USA), May 2002.
M. Bianchini, M. Gori, and F. Scarselli, "PageRank: A Circuital Analysis". Proceedings of WWW2002, Honolulu, Hawaii (USA), May 2002.
M. Bianchini, P. Mazzoni, L. Sarti, and F. Scarselli, "Face Spotting in Color Images using Recursive Neural Networks". Proceedings of IAPR - TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, pp. 76-81, Firenze, Italy, September 2003.
M. Bianchini, M. Gori, and F. Scarselli, "PageRank and Web Communities". Proceedings of IEEE WIC 2003, pp. 365-371, Halifax, Canada, October 2003.
M. Bianchini, M. Maggini, L. Sarti, and F. Scarselli, "Recursive Networks for Processing Graphs with Labelled Edges". Proceedings of ESANN 2004, pp. 325-330, Bruges, Belgium, April 2004.
M. Bianchini, M. Maggini, L. Sarti, and F. Scarselli, "Recursive Neural Networks for Object Detection". Proceedings of IEEE-IJCNN 2004, pp. 1911-1915, Budapest, Hungary, July 2004.
M. Bianchini, M. Maggini, and L. Sarti, "Object Localization using Input/Output Recursive Neural Networks". Proceedings of ICPR 2006, pp. 95-98, Hong Kong, August 2006.
M. Bianchini, E. Di Iorio, M. Maggini, C. Mocenni, and A. Pucci, "'A cyclostationary neural network model for the prediction of the NO2 concentration". Proceedings of ESANN 2006, pp. 67-72, Bruges, Belgium, April 2006.

ITALIAN BOOKS

M. Bianchini and M. P. Maraghini, "Nuove Tecnologie dell'Informazione per il Controllo di Gestione: dai Sistemi Informativi Integrati alla Business Intelligence ", in Il Controllo di Gestione, IPSOA-Kluwer, Chap. 21, 783-821, 2009.

ITALIAN JOURNALS

B. Arca, F. Benincasa, M. Bianchini, M. De Vincenzi, and M. Gori, "Le Reti Neurali nel Calcolo dei Flussi Radiativi", Rivista di INGEGNERIA AGRARIA, Anno XXIX, no. 1, pp. 26-31, May 1998.
M. Bianchini, a review of the book "HAL's Legacy, 2001's Computer as Dream and Reality", D. Stork Ed., AI*IA Notizie - Periodico dell'Associazione Italiana per l'Intelligenza Artificiale, Anno XII, no. 4, December 1999.

ITALIAN CONFERENCES

B. Arca, F. Benincasa, M. Bianchini, M. De Vincenzi, and M. Gori, "Modelli Neurali per La Stima della Radiazione Netta e della Radiazione Diffusa", Proceedings of I Congresso di AITICA (Associazione Italiana per le Tecnologie dell'Informazione e della Comunicazione in Agricoltura), Roma, 28-29
Novembre 1996.

(Most of) my publications are downloadable here...

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