Fabrizio Costa

Steffen Heyne, Fabrizio Costa, Dominic Rose, Rolf Backofen: GraphClust: alignment-free structural clustering of local RNA secondary structures. Bioinformatics 28(12): 224-232 (2012)

Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt: A Relational Kernel-Based Framework for Hierarchical Image Understanding. SSPR/SPR 2012: 171-180

Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave: kLog: A Language for Logical and Relational Learning with Kernels. CoRR abs/1205.3981 (2012)

Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok: Preface. Fundam. Inform. 113(2) (2011)

Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt: Effective feature construction by maximum common subgraph sampling. Machine Learning 83(2): 137-161 (2011)

Celine Vens, Fabrizio Costa: Random Forest Based Feature Induction. ICDM 2011: 744-753

Fabrizio Costa, Kurt De Grave: Fast Neighborhood Subgraph Pairwise Distance Kernel. ICML 2010: 255-262

Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok: StReBio'09: statistical relational learning and mining in bioinformatics. SIGKDD Explorations 11(2): 88-89 (2009)

Jan Ramon, Fabrizio Costa: Handling missing values and censored data in PCA of pharmacological matrices. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 32-34

Christophe Costa Florêncio, Fabrizio Costa, Jan Ramon, Joost N. Kok (Eds.): Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, Paris, France, June 28, 2009. ACM 2009, isbn 978-1-60558-667-0

Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi: A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. 54(1-3): 207-222 (2008)

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

Fabrizio Costa, Björn Bringmann: Towards Combining Structured Pattern Mining and Graph Kernels. ICDM Workshops 2008: 192-201

Alessio Ceroni, Fabrizio Costa, Paolo Frasconi: Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinformatics 23(16): 2038-2045 (2007)

Fabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48

Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil: Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters 26(12): 1896-1906 (2005)

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Ambiguity resolution analysis in incremental parsing of natural language. IEEE Transactions on Neural Networks 16(4): 959-971 (2005)

Sauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592

Fabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. Appl. Intell. 19(1-2): 9-25 (2003)

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512

Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461

Fabrizio Costa, Paolo Frasconi, Giovanni Soda: A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56