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Paolo Frasconi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
    Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. [Citation Graph (1, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1995, v:7, n:2, pp:340-346 [Journal]
  2. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
    kFOIL: Learning Simple Relational Kernels. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
    A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2003, pp:142-153 [Conf]
  4. Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda
    Wide Coverage Incremental Parsing by Learning Attachment Preferences. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:297-307 [Conf]
  5. Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda
    Inductive Inference of Tree Automata by Recursive Neural Networks. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1997, pp:36-47 [Conf]
  6. Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
    KL: A Neural Model for Capturing Structure in Speech. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1991, pp:450-454 [Conf]
  7. Andrea Passerini, Paolo Frasconi, Giovanni Soda
    Evaluation Methods for Focused Crawling. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:33-39 [Conf]
  8. Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
    A New Machine Learning Approach to Fingerprint Classification. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:57-63 [Conf]
  9. Gian Luca Marcialis, Fabio Roli, Paolo Frasconi
    Fingerprint Classification by Combination of Flat and Structural Approaches. [Citation Graph (0, 0)][DBLP]
    AVBPA, 2001, pp:241-246 [Conf]
  10. Yuan Yao, Paolo Frasconi, Massimiliano Pontil
    Fingerprint Classification with Combinations of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    AVBPA, 2001, pp:253-258 [Conf]
  11. Alessandro Vullo, Paolo Frasconi
    A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:187-196 [Conf]
  12. Andrea Passerini, Paolo Frasconi, Luc De Raedt
    Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  13. Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda
    Enhancing First-Pass Attachment Prediction. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:508-512 [Conf]
  14. Marco Gori, Paolo Frasconi, Alessandro Sperduti
    Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:301-305 [Conf]
  15. Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
    From Margins to Probabilities in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:400-404 [Conf]
  16. Fabrizio Costa, Paolo Frasconi, Giovanni Soda
    A topological transformation for hidden recursive modelsarchitecture networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:51-56 [Conf]
  17. Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti
    Logo Recognition by Recursive Neural Networks. [Citation Graph (0, 0)][DBLP]
    GREC, 1997, pp:104-117 [Conf]
  18. Paolo Frasconi, Marco Gori, Alessandro Sperduti
    Integration of Graphical Rules with Adaptive Learning of Structured Information. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:211-225 [Conf]
  19. Michelangelo Diligenti, Paolo Frasconi, Marco Gori
    Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:147-156 [Conf]
  20. Sauro Menchetti, Fabrizio Costa, Paolo Frasconi
    Weighted decomposition kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:585-592 [Conf]
  21. Paolo Frasconi, Marco Gori, Alessandro Sperduti
    On the Efficient Classification of Data Structures by Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1066-1071 [Conf]
  22. Andrea Passerini, Paolo Frasconi
    Kernels on Prolog Ground Terms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1626-1627 [Conf]
  23. Paolo Frasconi, Giovanni Soda, Alessandro Vullo
    Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. [Citation Graph (0, 0)][DBLP]
    JCDL, 2001, pp:11-20 [Conf]
  24. Yoshua Bengio, Paolo Frasconi
    Diffusion of Credit in Markovian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:553-560 [Conf]
  25. Yoshua Bengio, Paolo Frasconi
    Credit Assignment through Time: Alternatives to Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:75-82 [Conf]
  26. Yoshua Bengio, Paolo Frasconi
    An Input Output HMM Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:427-434 [Conf]
  27. Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
    Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1449-1456 [Conf]
  28. Paolo Frasconi
    An Introduction to Learning Structured Information. [Citation Graph (0, 0)][DBLP]
    Summer School on Neural Networks, 1997, pp:99-120 [Conf]
  29. Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato
    Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2006, pp:309-320 [Conf]
  30. Alessandro Vullo, Paolo Frasconi
    A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. [Citation Graph (0, 0)][DBLP]
    SAC, 2003, pp:67-71 [Conf]
  31. Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
    Bidirectional Dynamics for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    Sequence Learning, 2001, pp:80-104 [Conf]
  32. Fabrizio Costa, Paolo Frasconi
    Distributed community crawling. [Citation Graph (0, 0)][DBLP]
    WWW (Alternate Track Papers & Posters), 2004, pp:362-363 [Conf]
  33. Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda
    Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:19, n:1-2, pp:9-25 [Journal]
  34. Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri
    Exploiting the past and the future in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1999, v:15, n:11, pp:937-946 [Journal]
  35. Alessandro Vullo, Paolo Frasconi
    Disulfide connectivity prediction using recursive neural networks and evolutionary information. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:5, pp:653-659 [Journal]
  36. Paolo Frasconi, Alessandro Sperduti, Antonina Starita
    Kernel Machines, Neural Networks, and Graphical Models. [Citation Graph (0, 0)][DBLP]
    Intelligenza Artificiale, 2006, v:3, n:1-2, pp:72-78 [Journal]
  37. Piero Cosi, Paolo Frasconi, Marco Gori, Luca Lastrucci, Giovanni Soda
    Competitive radial basis functions training for phone classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:34, n:1-4, pp:117-129 [Journal]
  38. Yoshua Bengio, Paolo Frasconi
    Diffusion of Context and Credit Information in Markovian Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:249-270 [Journal]
  39. Alessandro Vullo, Paolo Frasconi
    Prediction of Protein Coarse Contact Maps. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2003, v:1, n:2, pp:411-431 [Journal]
  40. Paolo Frasconi, Giovanni Soda, Alessandro Vullo
    Hidden Markov Models for Text Categorization in Multi-Page Documents. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:195-217 [Journal]
  41. Andrea Passerini, Paolo Frasconi, Luc De Raedt
    Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:307-342 [Journal]
  42. Paolo Frasconi, Marco Gori, Giovanni Soda
    Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1995, v:8, n:6, pp:313-332 [Journal]
  43. Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
    Representation of Finite State Automata in Recurrent Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:23, n:1, pp:5-32 [Journal]
  44. Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi
    DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:177-181 [Journal]
  45. Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri
    Learning protein secondary structure from sequential and relational data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:8, pp:1029-1039 [Journal]
  46. Michelangelo Diligenti, Paolo Frasconi, Marco Gori
    Hidden Tree Markov Models for Document Image Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:4, pp:519-523 [Journal]
  47. Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
    Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:2, pp:397-406 [Journal]
  48. Paolo Frasconi, Marco Gori, Giovanni Soda
    Links between LVQ and Backpropagation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:4, pp:303-310 [Journal]
  49. Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil
    Wide coverage natural language processing using kernel methods and neural networks for structured data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:12, pp:1896-1906 [Journal]
  50. Paolo Frasconi, Marco Gori, Alessandro Sperduti
    Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2001, v:13, n:2, pp:145-147 [Journal]
  51. Paolo Frasconi, Marco Gori, Giovanni Soda
    Data Categorization Using Decision Trellises. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1999, v:11, n:5, pp:697-712 [Journal]
  52. Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
    Guest editorial: Machine learning for the Internet. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2004, v:4, n:2, pp:125-128 [Journal]
  53. Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
    Guest editorial: Machine learning for the Internet. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2004, v:4, n:4, pp:341-343 [Journal]

  54. On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. [Citation Graph (, )][DBLP]


  55. Learning with Kernels and Logical Representations. [Citation Graph (, )][DBLP]


  56. Learning with Kernels and Logical Representations. [Citation Graph (, )][DBLP]


  57. Feature Discovery with Type Extension Trees. [Citation Graph (, )][DBLP]


  58. Learning incremental syntactic structures with recursive neural networks. [Citation Graph (, )][DBLP]


  59. Predicting the Geometry of Metal Binding Sites from Protein Sequence. [Citation Graph (, )][DBLP]


  60. Collective Traffic Forecasting. [Citation Graph (, )][DBLP]


  61. A semiparametric generative model for efficient structured-output supervised learning. [Citation Graph (, )][DBLP]


  62. Classification of small molecules by two- and three-dimensional decomposition kernels. [Citation Graph (, )][DBLP]


  63. MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. [Citation Graph (, )][DBLP]


  64. Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. [Citation Graph (, )][DBLP]


  65. Predicting zinc binding at the proteome level. [Citation Graph (, )][DBLP]


  66. A simplified approach to disulfide connectivity prediction from protein sequences. [Citation Graph (, )][DBLP]


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