2008 |
19 | EE | 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 |
18 | EE | Jianlin Cheng,
Zheng Wang,
Gianluca Pollastri:
A neural network approach to ordinal regression.
IJCNN 2008: 1279-1284 |
2007 |
17 | | Gianluca Pollastri,
Davide Bau,
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 |
16 | EE | Alessandro Vullo,
Ian Walsh,
Gianluca Pollastri:
A two-stage approach for improved prediction of residue contact maps.
BMC Bioinformatics 7: 180 (2006) |
15 | EE | 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 | EE | 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 | EE | 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 | EE | Gianluca Pollastri,
Aoife McLysaght:
Porter: a new, accurate server for protein secondary structure prediction.
Bioinformatics 21(8): 1719-1720 (2005) |
11 | EE | Alessio Ceroni,
Paolo Frasconi,
Gianluca Pollastri:
Learning protein secondary structure from sequential and relational data.
Neural Networks 18(8): 1029-1039 (2005) |
2004 |
10 | EE | 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 | EE | 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 | EE | 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 | EE | Gianluca Pollastri,
Pierre Baldi,
Alessandro Vullo,
Paolo Frasconi:
Prediction of Protein Topologies Using Generalized IOHMMS and RNNs.
NIPS 2002: 1449-1456 |
5 | EE | 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 | EE | 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) |