Gianluca Pollastri

	2009
24		Ian Walsh, Alessandro Vullo, Gianluca Pollastri: Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. PRIB 2009: 391-403
23		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)
	2008
22		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
21		Jianlin Cheng, Zheng Wang, Gianluca Pollastri: A neural network approach to ordinal regression. IJCNN 2008: 1279-1284
20		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)
	2007
19		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
18		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)
	2006
17		Alessandro Vullo, Ian Walsh, Gianluca Pollastri: A two-stage approach for improved prediction of residue contact maps. BMC Bioinformatics 7: 180 (2006)
16		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)
15		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)
14		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)
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. Nucleic Acids Research 34(Web-Server-Issue): 164-168 (2006)
	2005
12		Gianluca Pollastri, Aoife McLysaght: Porter: a new, accurate server for protein secondary structure prediction. Bioinformatics 21(8): 1719-1720 (2005)
11		Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)
	2004
10		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)
9		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
8		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
7		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
6		Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456
5		Pierre Baldi, Gianluca Pollastri: A Machine-Learning Strategy for Protein Analysis. IEEE Intelligent Systems 17(2): 28-35 (2002)
	2001
4		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
3		Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104
	2000
2		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
	1999
1		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

1	Claus A. F. Andersen	[2]
2	Pierre-François Baisnée	[10]
3	Pierre Baldi	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [15]
4	Davide Baù	[16] [19] [20]
5	Oscar Bortolami	[13]
6	Søren Brunak	[1] [2] [3]
7	Rita Casadio	[4]
8	Alessio Ceroni	[11]
9	Jianlin Cheng	[21]
10	Fabrizio Costa	[22]
11	Yimeng Dou	[10]
12	André Elisseeff	[9]
13	Piero Fariselli	[4]
14	Paolo Frasconi	[1] [3] [6] [11] [15] [22]
15	Yann Guermeur	[9]
16	Alberto J. M. Martin	[16] [18] [20] [23]
17	Aoife McLysaght	[12]
18	Catherine Mooney	[14] [16] [18] [23]
19	James Nowick	[10]
20	Andrea Passerini	[22]
21	Hélène Paugam-Moisy	[9]
22	Yann Pécout	[10]
23	Enrico Rubagotti	[23]
24	Giovanni Soda	[1] [3]
25	Silvio C. E. Tosatto	[13]
26	Alessandro Vullo	[6] [13] [14] [15] [16] [17] [18] [19] [20] [22] [23] [24]
27	Ian Walsh	[16] [17] [20] [23] [24]
28	Zheng Wang	[21]
29	Dominique Zelus	[9]

Colors in the list of coauthors