Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Gianluca Pollastri
2010 – today
- 2013
[j19]Catherine Mooney, Niall J. Haslam, Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields: PeptideLocator: prediction of bioactive peptides in protein sequences. Bioinformatics 29(9): 1120-1126 (2013)- [j18]Viola Volpato, Alessandro Adelfio, Gianluca Pollastri: Accurate prediction of protein enzymatic class by N-to-1 Neural Networks. BMC Bioinformatics 14(S-1): S11 (2013)
- 2011
- [j17]Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri: SCLpred: protein subcellular localization prediction by N-to-1 neural networks. Bioinformatics 27(20): 2812-2819 (2011)
- [j16]Ian Walsh, Alberto J. M. Martin, Tomás Di Domenico, Alessandro Vullo, Gianluca Pollastri, Silvio C. E. Tosatto: CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs. Nucleic Acids Research 39(Web-Server-Issue): 190-196 (2011)
- [c11]Giuseppe Tradigo, Pierangelo Veltri, Gianluca Pollastri: Machine Learning Approaches for Contact Maps Prediction in CASP9 Experiment. SEBD 2011: 311-317
- 2010
- [c10]Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri: De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks. CIBB 2010: 31-43
2000 – 2009
- 2009
- [j15]Ian Walsh, Alberto J. M. Martin, Catherine Mooney, Enrico Rubagotti, Alessandro Vullo, Gianluca Pollastri: Ab initio and homology based prediction of protein domains by recursive neural networks. BMC Bioinformatics 10 (2009)
- [c9]Alberto J. M. Martin, Alessandro Vullo, Gianluca Pollastri: Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. LION 2009: 235-248
- [c8]Ian Walsh, Alessandro Vullo, Gianluca Pollastri: Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. PRIB 2009: 391-403
- 2008
- [j14]Alberto J. M. Martin, Davide Baù, Alessandro Vullo, Ian Walsh, Gianluca Pollastri: Long-Range Information and Physicality Constraints Improve predicted protein Contact Maps. J. Bioinformatics and Computational Biology 6(5): 1001-1020 (2008)
- [c7]Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri: On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO 2008: 200-211
- [c6]Jianlin Cheng, Zheng Wang, Gianluca Pollastri: A neural network approach to ordinal regression. IJCNN 2008: 1279-1284
- 2007
- [j13]Gianluca Pollastri, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo: Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information. BMC Bioinformatics 8 (2007)
- [p1]Gianluca Pollastri, Davide Baù, Alessandro Vullo: Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction. Analysis of Biological Data: A Soft Computing Approach 2007: 153-181
- 2006
- [j12]Alessandro Vullo, Ian Walsh, Gianluca Pollastri: A two-stage approach for improved prediction of residue contact maps. BMC Bioinformatics 7: 180 (2006)
- [j11]Davide Baù, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo, Ian Walsh, Gianluca Pollastri: Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. BMC Bioinformatics 7: 402 (2006)
- [j10]Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi: Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. Journal of Computational Biology 13(3): 631-650 (2006)
- [j9]Catherine Mooney, Alessandro Vullo, Gianluca Pollastri: Protein Structural Motif Prediction in Multidimensional ø-Psi Space Leads to Improved Secondary Structure Prediction. Journal of Computational Biology 13(8): 1489-1502 (2006)
- [j8]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. Nucleic Acids Research 34(Web-Server-Issue): 164-168 (2006)
- 2005
- [j7]Gianluca Pollastri, Aoife McLysaght: Porter: a new, accurate server for protein secondary structure prediction. Bioinformatics 21(8): 1719-1720 (2005)
- [j6]Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)
- 2004
- [j5]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. Bioinformatics 20(16): 2767-2777 (2004)
- [j4]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. Neurocomputing 56: 305-327 (2004)
- 2003
- [j3]Pierre Baldi, Gianluca Pollastri: The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem. Journal of Machine Learning Research 4: 575-602 (2003)
- 2002
- [j2]Pierre Baldi, Gianluca Pollastri: A Machine-Learning Strategy for Protein Analysis. IEEE Intelligent Systems 17(2): 28-35 (2002)
- [c5]Gianluca Pollastri, Pierre Baldi: Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners. ISMB 2002: 62-70
- [c4]Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456
- 2001
- [c3]Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio: Improved prediction of the number of residue contacts in proteins by recurrent neural networks. ISMB (Supplement of Bioinformatics) 2001: 234-242
- [c2]Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104
- 2000
- [c1]Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak: Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. ISMB 2000: 25-36
1990 – 1999
- 1999
- [j1]Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri: Exploiting the past and the future in protein secondary structure prediction. Bioinformatics 15(11): 937-946 (1999)
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-11 21:38 CEST by the dblp team