DOCTORATE in GENETICS, ONCOLOGY and CLINICAL MEDICINE (GenOMeC)
DOTTORATO DI RICERCA IN GENETICA ONCOLOGIA E MEDICINA CLINICA

UNIVERSITA' DEGLI STUDI  DI SIENA

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Publications from 2005 to 2010
 
Bianchini Monica
 
  • BIANCHINI M., M. MAGGINI, L. SARTI, F. SCARSELLI (2005). Recursive Neural Networks for Processing Graphs with Labeled Edges: Theory and Applications. NEURAL NETWORKS, vol. 18(8); p. 1040-1050, ISSN: 0893-6080
  • BIANCHINI M., M. GORI, L. SARTI, F. SCARSELLI (2006). Recursive Processing of Cyclic Graphs. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 17; p. 10-18, ISSN: 1045-9227
  • BIANCHINI M., M. MAGGINI, S. MELACCI, L. SARTI (2008). A Neural Network Approach to Similarity Learning. In: LNCS 5064 - Artificial Neural Networks in Pattern Recognition. Parigi (Francia), 2-4 LuglioSpringer, p. 133-137, ISBN/ISSN: 978-3-540-69938-5
  • BIANCHINI M., M. GORI, L. SARTI, F. SCARSELLI (2005). Recursive Neural Networks and Graphs: Dealing with Cycles. In: Proceedings of WIRN 2005, 8/06-11/06
  • N. BANDINELLI, BIANCHINI M., F. SCARSELLI (2010). Learning long-term dependencies using layered graph neural networks. In: Proceedings of IJCNN 2010. Barcelona (SPAIN), 18-23 July.IEEE, p. 1-8
  • BIANCHINI M., M. MAGGINI, F. SCARSELLI, L.C. JAIN (a cura di) (2009). Innovations in Neural Information Paradigms and Applications - Studies in Computational Intelligence. HEIDELBERG: Springer, vol. 247/2009, ISBN: 978-3-642-04002-3
  • BIANCHINI M., M. MAGGINI, F. SCARSELLI, L. C. JAIN (2009). Advances in Neural Information Processing Paradigms. Innovations in Neural Information Paradigms and Applications − Studies in Computational Intelligence. vol. 247/2009, p. 1-7, HEIDELBERG: Springer, ISBN/ISSN: 978-3-642-04002-3, doi: 10.1007/978-3-642-04003-0
  • BIANCHINI M., M. MAGGINI, L. SARTI (in stampa). Neural processing of structured data. Handbook on Reasoning-based Intelligent Systems. World Scientific Publishers

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