Fabrizio Costa

Orcid: 0000-0002-4900-995X

According to our database1, Fabrizio Costa authored at least 52 papers between 1999 and 2020.

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Bibliography

2020
Heterogeneous networks integration for disease-gene prioritization with node kernels.
Bioinform., 2020

2019
ShaKer: RNA SHAPE prediction using graph kernel.
Bioinform., 2019

Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Freiburg RNA tools: a central online resource for RNA-focused research and teaching.
Nucleic Acids Res., 2018

The conjunctive disjunctive graph node kernel for disease gene prioritization.
Neurocomputing, 2018

2017
An efficient graph kernel method for non-coding RNA functional prediction.
Bioinform., 2017

RNAscClust: clustering RNA sequences using structure conservation and graph based motifs.
Bioinform., 2017

Learning an efficient constructive sampler for graphs.
Artif. Intell., 2017

Joint Neighborhood Subgraphs Link Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Link Enrichment for Diffusion-Based Graph Node Kernels.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

The Conjunctive Disjunctive Node Kernel.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification.
BMC Bioinform., 2016

RNAcommender: genome-wide recommendation of RNA-protein interactions.
Bioinform., 2016

Characterizing leader sequences of CRISPR loci.
Bioinform., 2016

AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

RNAsynth: constraints learning for RNA inverse folding.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
ASSIsT: an automatic SNP scoring tool for in- and outbreeding species.
Bioinform., 2015

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.
Bioinform., 2014

MoDPepInt: an interactive web server for prediction of modular domain-peptide interactions.
Bioinform., 2014

CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci.
Bioinform., 2014

kLog: A language for logical and relational learning with kernels.
Artif. Intell., 2014

Relational Regularization and Feature Ranking.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Scalable structural clustering of local RNA secondary structures.
Proceedings of the 1st Workshop on Computational Methods for Structural RNAs (CMSR 2014), 2014

kLogNLP: Graph Kernel-based Relational Learning of Natural Language.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains.
Bioinform., 2013

2012
Link and Node Prediction in Metabolic Networks with Probabilistic Logic.
Proceedings of the Bisociative Knowledge Discovery, 2012

GraphClust: alignment-free structural clustering of local RNA secondary structures.
Bioinform., 2012

A Relational Kernel-Based Framework for Hierarchical Image Understanding.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011
Effective feature construction by maximum common subgraph sampling.
Mach. Learn., 2011

Preface.
Fundam. Informaticae, 2011

Random Forest Based Feature Induction.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Molecular Graph Augmentation with Rings and Functional Groups.
J. Chem. Inf. Model., 2010

Fast Neighborhood Subgraph Pairwise Distance Kernel.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
StReBio'09: statistical relational learning and mining in bioinformatics.
SIGKDD Explor., 2009

Handling missing values and censored data in PCA of pharmacological matrices.
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

2008
A semiparametric generative model for efficient structured-output supervised learning.
Ann. Math. Artif. Intell., 2008

Towards Combining Structured Pattern Mining and Graph Kernels.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.
Proceedings of the Evolutionary Computation, 2008

2007
Comparing Sequence Classification Algorithms for Protein Subcellular Localization.
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Classification of small molecules by two- and three-dimensional decomposition kernels.
Bioinform., 2007

2006
Decomposition Kernels for Natural Language Processing.
Proceedings of the Workshop on Learning Structured Information in Natural Language Applications@EACL 2006, 2006

2005
Ambiguity resolution analysis in incremental parsing of natural language.
IEEE Trans. Neural Networks, 2005

Wide coverage natural language processing using kernel methods and neural networks for structured data.
Pattern Recognit. Lett., 2005

Weighted decomposition kernels.
Proceedings of the Machine Learning, 2005

2004
Distributed community crawling.
Proceedings of the 13th international conference on World Wide Web, 2004

2003
Towards Incremental Parsing of Natural Language Using Recursive Neural Networks.
Appl. Intell., 2003

2002
Enhancing First-Pass Attachment Prediction.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Wide Coverage Incremental Parsing by Learning Attachment Preferences.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

2000
Learning incremental syntactic structures with recursive neural networks.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999
A topological transformation for hidden recursive modelsarchitecture networks.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999


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