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Publications of Author

1. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
   kFOIL: Learning Simple Relational Kernels. [Citation Graph (0, 0)][DBLP]
   AAAI, 2006, pp:- [Conf]
   
2. Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
   A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
   AI*IA, 2003, pp:142-153 [Conf]
   
3. Andrea Passerini, Paolo Frasconi, Giovanni Soda
   Evaluation Methods for Focused Crawling. [Citation Graph (0, 0)][DBLP]
   AI*IA, 2001, pp:33-39 [Conf]
   
4. Andrea Passerini, Paolo Frasconi, Luc De Raedt
   Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
   Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
   
5. Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
   From Margins to Probabilities in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP]
   ECAI, 2002, pp:400-404 [Conf]
   
6. Carlo Biagioli, Enrico Francesconi, Andrea Passerini, Simonetta Montemagni, Claudia Soria
   Automatic semantics extraction in law documents. [Citation Graph (0, 0)][DBLP]
   ICAIL, 2005, pp:133-140 [Conf]
   
7. Andrea Passerini, Paolo Frasconi
   Kernels on Prolog Ground Terms. [Citation Graph (0, 0)][DBLP]
   IJCAI, 2005, pp:1626-1627 [Conf]
   
8. Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato
   Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. [Citation Graph (0, 0)][DBLP]
   RECOMB, 2006, pp:309-320 [Conf]
   
9. Andrea Passerini, Paolo Frasconi, Luc De Raedt
   Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2006, v:7, n:, pp:307-342 [Journal]
   
10. Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi
    DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:177-181 [Journal]
    
11. Enrico Francesconi, Andrea Passerini
    Automatic Classification of Provisions in Legislative Texts. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Law, 2007, v:15, n:1, pp:1-17 [Journal]
    
12. 
    Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques. [Citation Graph (, )][DBLP]
    
    
13. 
    On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. [Citation Graph (, )][DBLP]
    
    
14. 
    From On-Going to Complete Activity Recognition Exploiting Related Activities. [Citation Graph (, )][DBLP]
    
    
15. 
    Learning with Kernels and Logical Representations. [Citation Graph (, )][DBLP]
    
    
16. 
    Feature Discovery with Type Extension Trees. [Citation Graph (, )][DBLP]
    
    
17. 
    Predicting the Geometry of Metal Binding Sites from Protein Sequence. [Citation Graph (, )][DBLP]
    
    
18. 
    An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps. [Citation Graph (, )][DBLP]
    
    
19. 
    Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer. [Citation Graph (, )][DBLP]
    
    
20. 
    A semiparametric generative model for efficient structured-output supervised learning. [Citation Graph (, )][DBLP]
    
    
21. 
    MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. [Citation Graph (, )][DBLP]
    
    
22. 
    Predicting zinc binding at the proteome level. [Citation Graph (, )][DBLP]
    
    
23. 
    A simplified approach to disulfide connectivity prediction from protein sequences. [Citation Graph (, )][DBLP]
    
    
24. 
    Automatic prediction of catalytic residues by modeling residue structural neighborhood. [Citation Graph (, )][DBLP]