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2020 – today
- 2020
[j26]Dinh Van Tran
, Alessandro Sperduti, Rolf Backofen, Fabrizio Costa:
Heterogeneous networks integration for disease-gene prioritization with node kernels. Bioinform. 36(9): 2649-2656 (2020)
2010 – 2019
- 2019
- [j25]Stefan Mautner, Soheila Montaseri, Milad Miladi, Martin Raden, Fabrizio Costa, Rolf Backofen:
ShaKer: RNA SHAPE prediction using graph kernel. Bioinform. 35(14): i354-i359 (2019) - [c25]Stefan Mautner, Rolf Backofen, Fabrizio Costa:
Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings. ESANN 2019 - 2018
- [j24]Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
The conjunctive disjunctive graph node kernel for disease gene prioritization. Neurocomputing 298: 90-99 (2018) - [j23]Martin Raden, Syed M. Ali, Omer S. Alkhnbashi, Anke Busch, Fabrizio Costa, Jason A. Davis, Florian Eggenhofer, Rick Gelhausen, Jens Georg, Steffen Heyne, Michael Hiller, Kousik Kundu, Robert Kleinkauf, Steffen Lott, Mostafa M. Mohamed, Alexander Mattheis, Milad Miladi, Andreas S. Richter, Sebastian Will, Joachim Wolff, Patrick R. Wright, Rolf Backofen:
Freiburg RNA tools: a central online resource for RNA-focused research and teaching. Nucleic Acids Res. 46(Webserver-Issue): W25-W29 (2018) - 2017
- [j22]Fabrizio Costa:
Learning an efficient constructive sampler for graphs. Artif. Intell. 244: 217-238 (2017) - [j21]Milad Miladi, Alexander Junge, Fabrizio Costa, Stefan E. Seemann, Jakob Hull Havgaard, Jan Gorodkin, Rolf Backofen:
RNAscClust: clustering RNA sequences using structure conservation and graph based motifs. Bioinform. 33(14): 2089-2096 (2017) - [j20]Nicolò Navarin, Fabrizio Costa:
An efficient graph kernel method for non-coding RNA functional prediction. Bioinform. 33(17): 2642-2650 (2017) - [c24]Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa:
Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. ESANN 2017 - [c23]Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
The Conjunctive Disjunctive Node Kernel. ESANN 2017 - [c22]Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
Link Enrichment for Diffusion-Based Graph Node Kernels. ICANN (2) 2017: 155-162 - [c21]Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
Joint Neighborhood Subgraphs Link Prediction. ICONIP (1) 2017: 117-123 - 2016
- [j19]Omer S. Alkhnbashi, Shiraz A. Shah, Roger A. Garrett, Sita J. Saunders, Fabrizio Costa, Rolf Backofen:
Characterizing leader sequences of CRISPR loci. Bioinform. 32(17): 576-585 (2016) - [j18]Gianluca Corrado, Toma Tebaldi, Fabrizio Costa, Paolo Frasconi, Andrea Passerini:
RNAcommender: genome-wide recommendation of RNA-protein interactions. Bioinform. 32(23): 3627-3634 (2016) - [j17]João Victor de Araújo Oliveira, Fabrizio Costa, Rolf Backofen, Peter F. Stadler, Maria Emília Telles Walter, Jana Hertel:
SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification. BMC Bioinform. 17(S-18): 73-86 (2016) - [c20]Fabrizio Costa, Parastou Kohvaei, Robert Kleinkauf:
RNAsynth: constraints learning for RNA inverse folding. ESANN 2016 - [c19]Phuong Dao, Jan Hoinka, Yijie Wang, Mayumi Takahashi, Jiehua Zhou, Fabrizio Costa, John Rossi, John Burnett, Rolf Backofen, Teresa M. Przytycka:
AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments. RECOMB 2016: 261-262 - [i2]Phuong Dao, Jan Hoinka, Yijie Wang, Mayumi Takahashi, Jiehua Zhou, Fabrizio Costa, John Rossi, John Burnett, Rolf Backofen, Teresa M. Przytycka:
AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments. CoRR abs/1604.03081 (2016) - 2015
- [j16]Mario Di Guardo, Diego Micheletti, Luca Bianco, Herma J. J. Koehorst-van Putten, Sara Longhi, Fabrizio Costa, Maria José Aranzana, Riccardo Velasco, Pere Arús, Michela Troggio, Eric W. van de Weg:
ASSIsT: an automatic SNP scoring tool for in- and outbreeding species. Bioinform. 31(23): 3873-3874 (2015) - [c18]Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave:
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). IJCAI 2015: 4183-4187 - 2014
- [j15]Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave:
kLog: A language for logical and relational learning with kernels. Artif. Intell. 217: 117-143 (2014) - [j14]Pavankumar Videm, Dominic Rose, Fabrizio Costa, Rolf Backofen:
BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles. Bioinform. 30(12): 274-282 (2014) - [j13]Omer S. Alkhnbashi, Fabrizio Costa, Shiraz A. Shah, Roger A. Garrett, Sita J. Saunders, Rolf Backofen:
CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci. Bioinform. 30(17): 489-496 (2014) - [j12]Kousik Kundu, Martin Mann, Fabrizio Costa, Rolf Backofen:
MoDPepInt: an interactive web server for prediction of modular domain-peptide interactions. Bioinform. 30(18): 2668-2669 (2014) - [c17]Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt:
kLogNLP: Graph Kernel-based Relational Learning of Natural Language. ACL (System Demonstrations) 2014: 85-90 - [c16]Fabrizio Costa, Steffen Heyne, Dominic Rose, Rolf Backofen:
Scalable structural clustering of local RNA secondary structures. CMSR@ECCB 2014: 59-61 - [c15]Pavankumar Videm, Dominic Rose, Fabrizio Costa, Rolf Backofen:
Blockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profiles. GCB 2014: 12-22 - [c14]Fabrizio Costa, Mathias Verbeke, Luc De Raedt:
Relational Regularization and Feature Ranking. SDM 2014: 650-658 - 2013
- [j11]Kousik Kundu, Fabrizio Costa, Rolf Backofen:
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains. Bioinform. 29(13): 335-343 (2013) - 2012
- [j10]Steffen Heyne, Fabrizio Costa, Dominic Rose, Rolf Backofen:
GraphClust: alignment-free structural clustering of local RNA secondary structures. Bioinform. 28(12): 224-232 (2012) - [c13]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 - [p2]Angelika Kimmig, Fabrizio Costa:
Link and Node Prediction in Metabolic Networks with Probabilistic Logic. Bisociative Knowledge Discovery 2012: 407-426 - [i1]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) - 2011
- [j9]Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok:
Preface. Fundam. Informaticae 113(2) (2011) - [j8]Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt:
Effective feature construction by maximum common subgraph sampling. Mach. Learn. 83(2): 137-161 (2011) - [c12]Celine Vens, Fabrizio Costa:
Random Forest Based Feature Induction. ICDM 2011: 744-753 - 2010
- [j7]Kurt De Grave, Fabrizio Costa:
Molecular Graph Augmentation with Rings and Functional Groups. J. Chem. Inf. Model. 50(9): 1660-1668 (2010) - [c11]Fabrizio Costa, Kurt De Grave:
Fast Neighborhood Subgraph Pairwise Distance Kernel. ICML 2010: 255-262
2000 – 2009
- 2009
- [j6]Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok:
StReBio'09: statistical relational learning and mining in bioinformatics. SIGKDD Explor. 11(2): 88-89 (2009) - [c10]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 - [e1]Christophe Costa Florêncio, Fabrizio Costa, Jan Ramon, Joost N. Kok:
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 [contents] - 2008
- [j5]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) - [c9]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 - [c8]Fabrizio Costa, Björn Bringmann:
Towards Combining Structured Pattern Mining and Graph Kernels. ICDM Workshops 2008: 192-201 - 2007
- [j4]Alessio Ceroni, Fabrizio Costa, Paolo Frasconi:
Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinform. 23(16): 2038-2045 (2007) - [p1]Fabrizio Costa, Sauro Menchetti, Paolo Frasconi:
Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48 - 2006
- [c7]Fabrizio Costa, Sauro Menchetti, Alessio Ceroni, Andrea Passerini, Paolo Frasconi:
Decomposition Kernels for Natural Language Processing. Learning Structured Information@EACL 2006 - 2005
- [j3]Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil:
Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognit. Lett. 26(12): 1896-1906 (2005) - [j2]Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda:
Ambiguity resolution analysis in incremental parsing of natural language. IEEE Trans. Neural Networks 16(4): 959-971 (2005) - [c6]Sauro Menchetti, Fabrizio Costa, Paolo Frasconi:
Weighted decomposition kernels. ICML 2005: 585-592 - 2004
- [c5]Fabrizio Costa, Paolo Frasconi:
Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363 - 2003
- [j1]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) - 2002
- [c4]Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda:
Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512 - 2001
- [c3]Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda:
Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307 - 2000
- [c2]Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda:
Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461
1990 – 1999
- 1999
- [c1]Fabrizio Costa, Paolo Frasconi, Giovanni Soda:
A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56
Coauthor Index
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