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Gianluca Pollastri: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
    Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:25-36 [Conf]
  2. Gianluca Pollastri, Pierre Baldi
    Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners. [Citation Graph (0, 0)][DBLP]
    ISMB, 2002, pp:62-70 [Conf]
  3. Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio
    Improved prediction of the number of residue contacts in proteins by recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:234-242 [Conf]
  4. 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]
  5. 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]
  6. 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]
  7. Yimeng Dou, Pierre-François Baisnée, Gianluca Pollastri, Yann Pécout, James Nowick, Pierre Baldi
    ICBS: a database of interactions between protein chains mediated by ?-sheet formation. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:16, pp:2767-2777 [Journal]
  8. Gianluca Pollastri, Aoife McLysaght
    Porter: a new, accurate server for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:8, pp:1719-1720 [Journal]
  9. Alessandro Vullo, Ian Walsh, Gianluca Pollastri
    A two-stage approach for improved prediction of residue contact maps. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:180- [Journal]
  10. Pierre Baldi, Gianluca Pollastri
    A Machine-Learning Strategy for Protein Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2002, v:17, n:2, pp:28-35 [Journal]
  11. Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
    Combining protein secondary structure prediction models with ensemble methods of optimal complexity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:305-327 [Journal]
  12. Pierre Baldi, Gianluca Pollastri
    The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:575-602 [Journal]
  13. Alessandro Vullo, Oscar Bortolami, Gianluca Pollastri, Silvio C. E. Tosatto
    Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:164-168 [Journal]
  14. 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]

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


  16. A neural network approach to ordinal regression. [Citation Graph (, )][DBLP]


  17. Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. [Citation Graph (, )][DBLP]


  18. Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. [Citation Graph (, )][DBLP]


  19. Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information. [Citation Graph (, )][DBLP]


  20. Ab initio and homology based prediction of protein domains by recursive neural networks. [Citation Graph (, )][DBLP]


  21. Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. [Citation Graph (, )][DBLP]


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