Journal papers

S. Marinai, E. Marino, G. Soda (2006): "Font Adaptative word indexing of modern printed documents", IEEE Trans. On PAMI , vol. 28, n.8, pp. 1187-1199.

F.Costa, P.Frasconi, V.Lombardo, P. Sturt, G. Soda(2005): "Ambiguity Resolution, Analysis in Incremental Parsing of Natural Language ", IEEE Trans. On Neural Networks , vol. 16, n. 4, pp. 959-971.

S. Marinai, M.Gori, G. soda (2005): "Artificial Neural Networks for Document Analysis and recognition", IEEE Trans. On PAMI , vol. 17,n.1,pp.23-35.

Costa F., P. Frasconi, V. Lombardo,G. Soda (2003): "Towards Incremental Parsing of Natural Language Using Recursive Neural Networks", Applied Intelligence, vol.19, n.1-2, pp.9-25.

F. Cesarini, E. Francesconi, M. Gori. G. Soda (2003): "Analysis and Understanding of Multi-class Invoices", IJDAR, vol.6, n.2.pp.102-114.

M. Gori, M. Maggini, S: Marinai, G. Soda (2003): "Edge-backpropagation for noisy logo recognition", Pattern Recognition , vol 36, n.1, pp. 103-110.

P. Frasconi, G. Soda, A. Vullo (2002): "Hidden Markov Models for Text categorization for Multipage Documents", Journal of Intelligent Information Systems , vol.18, n. 2/3, pp. 195-217.

E. Appiani, F. Cesarini, A. M. Colla. M. Diligenti, M. Gori, S. Marinai, G. Soda (2001)" "Automatic Document classification and indexing in high-volume applications", IJDAR , vol. 4, pp. 69-83.

E. Francesconi, M.Gori, S.Marinai, G. Soda (2001):" ):"A serial Combination of connectionist-based classifier for OCR", IJDAR , vol.3, n. 3 pp. 160-168.

P. Cosi, P.Frasconi, M. Gori, L. Lastrucci, G. Soda (2000): "Competitive Radial Basis Functions training for phone classification" , Neurocomputing , n.34, pp.117-129.

Cesarini F.,E. Francesconi, M. Gori, G. Soda (2000): "Using Physical and Logical Constraints for Invoice Understanding" , Pattern Analysis and Applications , vol. 3 pp. 182-195.

Baldi P., S. Brunak, P. Frasconi, G. Soda, G. Pollastri (1999): "Exploiting the Past and the Future in Protein Secondary Structure Prediction", Bioinformatics, Vol. 15, No. 11., pp. 937-946.

Frasconi P., M. Gori, G. Soda (1999):"Data Categorization Using Decision Trellises", IEEE Trans. on KDE, vol.11, n.5, pp.697-712.

Gori M., M. Maggini, E, Martinelli, G. Soda (1998): "Inductive inference from noisy examples using the hybrid finite state filter", IEEE Trans. on Neural Networks, vol.9, n.3, pp.571-574.

Cesarini F., M. Gori, S. Marinai, G. Soda (1998): "INFORMys: A Flexible invoice form reader system", IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 20, n. 7, pp. 730-745.

Frasconi P. , M. Gori , G. Soda (1997),"Links between LVQ and backpropagation" , Pattern Recognition Letters, vol. 18, n. 4, pp.303-310.

Artale A., F. Cesarini, G. Soda (1996):"Describing Objects in a Concept Language Environment", IEEE Trans. on KDE , vol. 8, n. 2, pp. 345-351.

Frasconi P., Gori M., M. Maggini, G. Soda (1996): "Representation of Finite State Automata in Recurrent Radial Basis Function Networks", Machine Learning , n. 23, pp. 5-32.

Frasconi P., M. Gori, M. Maggini, G. Soda (1995):"Unified Integration of explicity and learning by example in Recurrent Networks", IEEE Trans. on KDE , vol.7, n. 2, pp. 340-346.

Frasconi P., M. Gori, G. Soda (1995): "Recurrent Neural Networks and Prior Knowledgefor Symbolic Processing: A Constrained Nondeterministic Approach", in Knowledge Based Systems , vol. 8, n. 6, pp. 313-332.

Gori M., L. Lastrucci, G. Soda (1995): "Autoassociator-Based Models for Speaker Verification", Pattern Recognition Letters , vol. 17, pp. 241-250.

Cesarini F., G. Soda (1993): "Single Access Hashing with Overflow Separators for Dynamic Files", BIT , vol.33, pp.15-28.

Frasconi P., M. Gori, G. Soda (1993): "Daphne: Data Paralelism neural network simulator", International Journal of Modern Physics C, vol. 4, n.1, pp. 17-28.

Cesarini F., G. Soda (1992): "Generating Sample Relational Database on Small Machines", The Computer Journal , vol. 35, pp. A355-A362.

Cesarini F., M. Missikoff, G. Soda (1992): "An Expert Approach for Database Application Tuning", Data and Knowledge Engeneering , vol.8, n.1, pp. 35-55.

Frasconi P., M. Gori, G. Soda (1992): "Local Feedback Multi-layered Networks", Neural Computation , MIT Press, vol. 4, n. 1, pp. 120-130.

Cesarini F., G. Soda (1991): "A Dynamic Hash Method with Signature", ACM Transaction on Database Systems , vol. 16, n. 2, pp. 309-337.

Gori M., G. Soda (1989): "An Algebraic Approach to Cichelli's Perfect Hashing", BIT , vol. 29, pp. 2-13.

Cesarini F., G. Soda. G. Zappa (1988): "A Multiprocessor Architecture and its Application to Adaptive Control", Microprocessing and Microprogramming, vol. 22, pp.301-310.

Cesarini, G.Soda (1985): "Design and Implementation of a relational DBMS for Microcomputers" The Computer Journal, vol. 28, n.4, pp.391-397.

Bagnoli C., M.Gori, G.Soda (1984): "Design and implementation of the GMMP Multi-Microprocessor System", International Journal of Mini and Microcomputers, vol. 6, n. 2, pp. 26-29.

Cesarini F., G.Soda (1983): "An Algorithm to construct a compact B-Tree in case of ordered keys", Inf. Proc. Letters , Vol. 17, n.1, pp.13-16.

Cesarini F., G.Soda (1982): "Binary Trees Paging", Information System, Vol. 7, n.4, pp.337-344.

International Conference and book Papers

S. Marinai, E. Marino, G. Soda (2005): "Layout based document image retrieval by means of XY tree reduction" ", ICDAR 2005, pp-432-436.

S. Marinai, E. Marino, F. Cesarini, G. Soda (2004): "A General System for the Retrieval of Document Images from Digital Libraries", Document Image Analysis for Libraries, IEEE Press, pp. 150-173.

S. Marinai, E. Marino, G. Soda (2003): "Indexing and Retrieval of Words in Old Documents" , ICDAR 2003 , IEEE Press, pp. 223-227.

F. Cesarini, S. Marinai, G. Soda (2002): "Retrieval by Layout Similarity of Documents Represented with MXY Trees", DAS 2002, Lecture Notes in Computer Science, n. 2423, pp. 353-364.

F. Cesarini, M. lastri, S. Marinai, G. Soda (2001): "Documents classification by the modified X-Y trees", Proc of ICDAR 2001 , IEEE Press, pp-1131-1136.

Cesarini F., M. Gori, S. Marinai, G. Soda (1999): "Structured Document Segmentation and Representation by Modified X-Y Tree", ICDAR99 , IEEE Press, pp. 563-566.

Cesarini F., E. Francesconi, M. Gori, S. Marinai, J.Q. Sheng, G. Soda (1997):" A Neural-based architecture for spot-noisy logo recognition, Proc. of ICDAR 1997, IEEE Press, pp. 175-179.

Cesarini F., E. Francesconi, M. Gori, S. Marinai, J.Q. Sheng, G. Soda (1997): "Rectangle Labelling for an Invoice Understanding System", Proc. of ICDAR 1997, IEEE Press, pp. 324-330.

Cesarini F., E. Francesconi,M. Gori, S. Marinai, J.Q. Sheng, G. Soda (1997): "Conceptual modelling for Invoice document processing", DEXA97, IEEE Press, pp. 596-603.

Frasconi P., M.Gori, M. Maggini, E, Martinelli, G. Soda (1997): "Inductive inference of Tree Automata by Recursive Neural Network", Lecture Notes in Artificial Intelligence, n. 1321, Springer-Verlag, pp.36-47.

Cesarini F., M. Gori, S. Marinai, G. Soda (1996): "A Hybrid System for Locating Low Level Graphic Items", Lecture Notes in Computer Science, n.1072, Springer-Verlag, pp..

Gori. M, M. Maggini, G. Soda (1996):"Learning Finite State Grammars from Noisy Examples Using Recurrent Neural Networks", NEURAP'96, pp. 207-214.

Gori. M, M. Maggini, G. Soda (1996):"Inductive Inference of Regular Grammars from Noisy Examples with Recurrent Neural Networks", World Scientific, pp. 157-164.

Cesarini F., M. Gori, S. Marinai, G. Soda (1995): "Data extraction from Form Images", Lecture Notes in Computer Science, n. 978, Springer-Verlag. pp. 438-448.

Cesarini F., M. Gori, S. Marinai, G. Soda (1995): "A System for Data Extraction from Forms of Known Class", ICDAR'95, Montreal, Canada, pp. 1136-1140.

Gori M. and G. Soda (Eds) (1995): "Topics in Artificial Intelligence", Lecture Notes in Artificial Intelligence, n. 992, Springer Verlag, Proc. of AI*IA95 Congress.

Gori, M, M. Maggini, G. Soda (1994): "Inductive Inference with Recurrent Radial Basis Function Networks", ICANN 94, Sorrento, pp. 238-241.

Gori M., L. Lastrucci, G. Soda (1994): "Neural Autoassociators Phoneme-based Speaker Verification", IDIAP-ESCA Workshop, Martigny, Switzerland, pp.189-192.

Lastrucci L., G. Bellesi, M. Gori, G. Soda (1994): "Autoassociator-based modular architecture for speaker independent phoneme recognition", in Neural Network for Signal Processing IV,Proc. of the 1994 IEEE Workshop,Ermione, Grecee pp. 309-318.

Artale A., D. Beneventano,, S. Bergamaschi, F. Cesarini, C.Sartori, G. Soda (1993): "Taxonomic Reasoning in LOGIDATA+", Lecture Notes in Computer Science, n.701 (P. Atzeni ed.), Springer-Verlag, pp. 79-84.

Artale A., F. Cesarini, G. Soda (1993):"Introducing Taxonomic Reasoning in LOGIDATA+", Lecture Notes in Computer Science, n.701 (P. Atzeni ed.), Springer-Verlag, pp. 85-104.

Gori M., G. Soda (1993): "Projecting Sub-symbolic Onto Symbolic Representations in Artificial Neural Networks", Lecture Notes in Artificial Intelligence n. 728, Sringer-Verlag, pp. 84-89.

Frasconi P., M. Gori, G. Soda (1993): "Automatic Speech Recognition with Neural Networks: Beyond Nonparametric Models", Lecture Notes in Artificial Intelligence, n. 745, (V. Roberto ed.), Springer-Verlag, 104-121.

Cesarini F., G. Soda (1991): "A System for Managing Multimedia dossier", RIAO 91, Barcellona, pp. 86-102.

Cesarini F., E. Grazzini, F. Pippolini, G. Soda (1991): "An Operator for Modelling Composition in Frame Based Languages", proc of the 6th Conference on AI Cecoslovacchia, Praga, pp. 25-28.

Artale A., F. Cesarini., G. Soda (1991):"Subsumption Computation in an Object Oriented Data Model", Lecture Notes in Artificial Intelligence, n. 567, Springer Verlag, pp. 124-140.

Frasconi P., M. Gori, M. Maggini, G. Soda (1991): "An Unified Approach for Integrating Explicit Knowledge and Learning by Example", IJCNN'91, Seattle, WA USA, vol. 1, pp. 811-816.

Frasconi P., M. Gori, M. Maggini, G. Soda (1991): "KL : A Neural Model for Capturing Structure in Speech", Lecture Notes in Artificial Intelligence n. 549, Springer-Verlag, pp. 450-454.

Artale A., F. Cesarini, G. Soda (1991): "Introducing Knowledge Representation Techniques in Database Models", Lecture Notes in Artificial Intelligence, n.549, Springer-Verlag, pp. 375-384.