 | 2009 |
| 21 |  | Ian Walsh,
Alessandro Vullo,
Gianluca Pollastri:
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints.
PRIB 2009: 391-403 |
| 20 |  | 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 |
| 19 |  | 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 |  | 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 |
| 17 |  | 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 |
| 16 |  | 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 |
| 15 |  | Alessandro Vullo,
Ian Walsh,
Gianluca Pollastri:
A two-stage approach for improved prediction of residue contact maps.
BMC Bioinformatics 7: 180 (2006) |
| 14 |  | 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) |
| 13 |  | 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) |
| 12 |  | 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) |
| 11 |  | Alessio Ceroni,
Andrea Passerini,
Alessandro Vullo,
Paolo Frasconi:
DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
Nucleic Acids Research 34(Web-Server-Issue): 177-181 (2006) |
| 2004 |
| 10 |  | Pierre Baldi,
Jianlin Cheng,
Alessandro Vullo:
Large-Scale Prediction of Disulphide Bond Connectivity.
NIPS 2004 |
| 9 |  | Alessandro Vullo,
Paolo Frasconi:
Disulfide connectivity prediction using recursive neural networks and evolutionary information.
Bioinformatics 20(5): 653-659 (2004) |
| 2003 |
| 8 |  | Alessio Ceroni,
Paolo Frasconi,
Andrea Passerini,
Alessandro Vullo:
A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction.
AI*IA 2003: 142-153 |
| 7 |  | Alessandro Vullo,
Paolo Frasconi:
A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins.
SAC 2003: 67-71 |
| 6 |  | Alessandro Vullo,
Paolo Frasconi:
Prediction of Protein Coarse Contact Maps.
J. Bioinformatics and Computational Biology 1(2): 411-431 (2003) |
| 5 |  | Alessio Ceroni,
Paolo Frasconi,
Andrea Passerini,
Alessandro Vullo:
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines.
VLSI Signal Processing 35(3): 287-295 (2003) |
| 2002 |
| 4 |  | Alessandro Vullo,
Paolo Frasconi:
A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps.
CSB 2002: 187-196 |
| 3 |  | Gianluca Pollastri,
Pierre Baldi,
Alessandro Vullo,
Paolo Frasconi:
Prediction of Protein Topologies Using Generalized IOHMMS and RNNs.
NIPS 2002: 1449-1456 |
| 2 |  | Paolo Frasconi,
Giovanni Soda,
Alessandro Vullo:
Hidden Markov Models for Text Categorization in Multi-Page Documents.
J. Intell. Inf. Syst. 18(2-3): 195-217 (2002) |
| 2001 |
| 1 |  | Paolo Frasconi,
Giovanni Soda,
Alessandro Vullo:
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach.
JCDL 2001: 11-20 |