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2006
- A. Cocura, K. Kersting, C. Plageman, W. Burgard, L. De Raedt.
Learning Relational Navigation Policies. To
appear in H.-M. Groß, editor, Special Issue "Lernen und
Selbstorganisation von Verhalten", Künstliche Intelligenz, Heft
3/2006.
- K.Kersting, L. De Raedt, T. Raiko. Logical Hidden
Markov Models. Journal of Artificial Intelligence
Research (JAIR), Volume 25, pages 425-456, 2006.
- A. Passerini, L. De Raedt, P. Frasconi. Kernels on
Prolog Proof Trees: Statistical Learning in the ILP
Setting. Journal of Machine Learning Research (JMLR),
7(Feb):307--342, 2006.
- A. Tamaddoni-Nezhad, A. Kakas, S.H. Muggleton, and F. Pazos.
Abductive ILP: application to learning metabolic network
inhibition from temporal data. Machine Learning Journal
2006. Accepted with minor revision.
2005
- M. Salmenkivi, H. Mannila: Using Markov chain Monte
Carlo and dynamic programming for event sequence data.
Knowl. Inf. Syst. 7(3): 267-288 (2005)
- G. Pollastri, A. Vullo, P. Frasconi, P. Baldi.
Modular DAG-RNN Architectures for Assembling Coarse
Protein Structures. Journal of Computational Biology,
2005. Accepted for publication.
- A. Ceroni, P. Frasconi, G. Pollastri. Learning
Protein Secondary Structure from Sequential and Relational
Data. Neural Networks 18(8):1029-1039, 2005.
- S. Menchetti, F. Costa, P. Frasconi, M. Pontil. Wide
Coverage Natural Language Processing using Kernel Methods and
Neural Networks for Structured Data. Pattern Recognition
Letters 26:1896-1906, 2005. In press.
- F. Costa, P. Frasconi, V. Lombardo, P. Sturt, G. Soda.
Ambiguity resolution in incremental parsing of natural
language. IEEE Transactions on Neural Networks
16(4):959-971, 2005.
2004
- F. Fages, S. Soliman, N. Chabrier-Rivier. Modelling
and Querying Interaction Networks in the Biochemical Abstract
Machine BIOCHAM. Journal of Biological Physics and
Chemistry, 4(2):64-73, 2004.
-
- N. Chabrier-Rivier, M. Chiaverini, V. Danos, F. Fages, V.
Schächter. Modeling and querying biochemical interaction
networks. Theoretical Computer Science, 325(1):25-44,
2004.
-
- A. Passerini, P. Frasconi. Learning to discriminate
between ligand-bound and disulfide-bound cysteines.
Protein Eng. Des. Sel. 2004 Apr;17(4):367-73.
-
- A. Vullo, P. Frasconi. Disulfide connectivity
prediction using recursive neural networks and evolutionary
information. Bioinformatics. 2004 Mar
22;20(5):653-9.
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