Alessandro Vullo

Orcid: 0000-0002-8237-5660

According to our database1, Alessandro Vullo authored at least 38 papers between 2001 and 2021.

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Bibliography

2021
Kernel Identification Through Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Ensembl 2020.
Nucleic Acids Res., 2020

2019
Ensembl 2019.
Nucleic Acids Res., 2019

2018
Ensembl 2018.
Nucleic Acids Res., 2018

Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species.
Nucleic Acids Res., 2018

2017
Ensembl 2017.
Nucleic Acids Res., 2017

Ensembl core software resources: storage and programmatic access for DNA sequence and genome annotation.
Database J. Biol. Databases Curation, 2017

2016
Ensembl 2016.
Nucleic Acids Res., 2016

2015
Ensembl 2015.
Nucleic Acids Res., 2015

The Ensembl REST API: Ensembl Data for Any Language.
Bioinform., 2015

2014
Ensembl 2014.
Nucleic Acids Res., 2014

2011
CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs.
Nucleic Acids Res., 2011

2009
Ab initio and homology based prediction of protein domains by recursive neural networks.
BMC Bioinform., 2009

Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

An adaptive model for learning molecular endpoints.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

2008
Long-Range Information and Physicality Constraints Improve predicted protein Contact Maps.
J. Bioinform. Comput. Biol., 2008

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

2007
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information.
BMC Bioinform., 2007

Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction.
Proceedings of the Analysis of Biological Data: A Soft Computing Approach, 2007

2006
Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines.
Nucleic Acids Res., 2006

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
Nucleic Acids Res., 2006

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures.
J. Comput. Biol., 2006

Protein Structural Motif Prediction in Multidimensional <i>ø</i>-<i>Psi</i> Space Leads to Improved Secondary Structure Prediction.
J. Comput. Biol., 2006

A two-stage approach for improved prediction of residue contact maps.
BMC Bioinform., 2006

Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins.
BMC Bioinform., 2006

2004
Disulfide connectivity prediction using recursive neural networks and evolutionary information.
Bioinform., 2004

Protein Structure Assembly from Knowledge of <i>β</i> -Sheet Motifs and Secondary Structure.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Large-Scale Prediction of Disulphide Bond Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines.
J. VLSI Signal Process., 2003

Prediction of Protein Coarse Contact Maps.
J. Bioinform. Comput. Biol., 2003

A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
Hidden Markov Models for Text Categorization in Multi-Page Documents.
J. Intell. Inf. Syst., 2002

A two-stage SVM architecture for predicting the disulfide bonding state of cysteines.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Prediction of Protein Topologies Using Generalized IOHMMS and RNNs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

2001
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001


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