Publications

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2019

Castellana, Daniele; Bacciu, Davide

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models Conference

Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019I) , IEEE, 2019.

Abstract | Links | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data; tensor factorization; Bayesian learning

Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering

Davide, Bacciu; Daniele, Castellana

Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering Journal Article

Neurocomputing, 342 , pp. 49-59, 2019, ISBN: 0925-2312.

Abstract | Links | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data, unsupervised learning

2018

Davide, Bacciu; Daniele, Castellana

Learning Tree Distributions by Hidden Markov Models Workshop

Proceedings of the FLOC 2018 Workshop on Learning and Automata (LearnAut'18), 2018.

Links | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data

Davide, Bacciu; Daniele, Castellana

Mixture of Hidden Markov Models as Tree Encoder Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), i6doc.com, Louvain-la-Neuve, Belgium, 2018, ISBN: 978-287587047-6.

Abstract | BibTeX | Tags: graphical models, hidden tree Markov model, structured data processing, tree structured data, unsupervised learning

2015

Davide, Bacciu; J.G., Lisboa Paulo; Alessandro, Sperduti; Thomas, Villmann

Probabilistic Modeling in Machine Learning Incollection

Kacprzyk, Janusz ; Pedrycz, Witold (Ed.): pp. 545–575, Springer Berlin Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-43505-2.

Links | BibTeX | Tags: Bayesian networks, generative model, graphical models, hidden Markov models

2014

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Integrating bi-directional contexts in a generative kernel for trees Conference

Neural Networks (IJCNN), 2014 International Joint Conference on, IEEE, 2014.

Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, kernel methods, structured data processing, tree kernel, tree structured data, tree transductions

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Modeling Bi-directional Tree Contexts by Generative Transductions Conference

Neural Information Processing, 8834 , Springer International Publishing, 2014.

Abstract | Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, kernel methods, tree kernel, tree structured data

2013

Davide, Bacciu; A, Etchells Terence; JG, Lisboa Paulo; Joe, Whittaker

Efficient identification of independence networks using mutual information Journal Article

Computational Statistics, 28 (2), pp. 621-646, 2013, ISSN: 0943-4062.

Links | BibTeX | Tags: Bayesian networks, graphical models, mutual information, PC algorithm

Nicola, Di Mauro; Paolo, Frasconi; Fabrizio, Angiulli; Davide, Bacciu; de Marco, Gemmis; Floriana, Esposito; Nicola, Fanizzi; Stefano, Ferilli; Marco, Gori; A, Lisi Francesca; others,

Italian Machine Learning and Data Mining research: The last years Journal Article

Intelligenza Artificiale, 7 (2), pp. 77–89, 2013.

Links | BibTeX | Tags: graphical models, recurrent neural network, structured data processing

2012

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

A Generative Multiset Kernel for Structured Data Conference

Artificial Neural Networks and Machine Learning - ICANN 2012 proceedings, Springer LNCS series, 7552 , Springer-Verlag, BERLIN HEIDELBERG, 2012.

Abstract | Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, kernel methods, structured data processing, support vector machine, tree kernel, tree structured data

G, Lisboa Paulo J; H, Jarman Ian; A, Etchells Terence; J, Chambers Simon; Davide, Bacciu; Joe, Whittaker; M, Garibaldi Jon; Sandra, Ortega-Martorell; Alfredo, Vellido; O, Ellis Ian

Discovering Hidden Pathways in Bioinformatics Conference

Lecture Notes in Computer ScienceComputational Intelligence Methods for Bioinformatics and Biostatistics, 7548 , 2012.

Abstract | Links | BibTeX | Tags: Bayesian networks, biomedical data, graphical models, mutual information, PC algorithm

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Input-Output Hidden Markov Models for Trees Conference

ESANN 2012 - The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings, Ciaco scrl - i6doc.com, 2012.

Abstract | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, structured data processing, tree structured data, tree transductions

2011

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Adaptive Tree Kernel by Multinomial Generative Topographic Mapping Conference

Proceedings of the International Joint Conference on Neural Networks, IEEE, Piscataway (NJ), 2011.

Links | BibTeX | Tags: generative model, generative topographic mapping, graphical models, hidden tree Markov model, kernel methods, structured data processing, tree kernel, tree structured data

2010

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

A Bottom-up Hidden Tree Markov Model Technical Report

Università di Pisa (TR-10-08), 2010.

Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, structured data processing, tree structured data

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Bottom-Up Generative Modeling of Tree-Structured Data Conference

LNCS 6443: Neural Information Processing. Theory and Algorithms. Part I, 6443 , Springer-Verlag, BERLIN HEIDELBERG, 2010.

Links | BibTeX | Tags: generative model, graphical models, hidden tree Markov model, structured data processing, tree structured data

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Compositional Generative Mapping of Structured Data Conference

Proceedings of the 2010 IEEE InternationalJoint Conference on Neural Networks(IJCNN'10), IEEE, 2010.

Links | BibTeX | Tags: generative topographic mapping, graphical models, hidden tree Markov model, structured data processing, tree structured data, unsupervised learning

2008

Davide, Bacciu

A Perceptual Learning Model to Discover the Hierarchical Latent Structure of Image Collections PhD Thesis

2008.

Abstract | Links | BibTeX | Tags: biomedical data, clustering, competitive repetition suppression learning, feature selection, generative model, graphical models, image understanding, latent topic model, neural networks, statistics, unsupervised learning