Riccardo Ortale

发表

Topic-aware joint analysis of overlapping communities and roles in social media

Gianni Costa, Riccardo Ortale, R. Ortale, 2019, International Journal of Data Science and Analytics.

Distance-based Clustering of XML Documents

Riccardo Ortale, Andrea Tagarelli, Francesco De Francesca, 2003 .

X-Class: Associative Classification of XML Documents by Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2013, TOIS.

Machine learning techniques for XML (co-)clustering by structure-constrained phrases

Gianni Costa, Riccardo Ortale, R. Ortale, 2018, Information Retrieval Journal.

Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario

Francesco Folino, Gianni Costa, Riccardo Ortale, 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, IC3K.

Topical Cluster Discovery in Semistructured Healthcare Data

Gianni Costa, Riccardo Ortale, R. Ortale, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Putting Enhanced Hypermedia Personalization into Practice via Web Mining

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2004, DEXA.

A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors

Gianni Costa, Riccardo Ortale, R. Ortale, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2014, ECML/PKDD.

Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling

Gianni Costa, Riccardo Ortale, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Modeling item selection and relevance for accurate recommendations: a bayesian approach

Nicola Barbieri, Gianni Costa, Riccardo Ortale, 2011, RecSys '11.

Document Clustering Meets Topic Modeling with Word Embeddings

Gianni Costa, Riccardo Ortale, R. Ortale, 2020, SDM.

Fast and Effective Hierarchical Clustering of XML Documents by Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2010, SEBD.

RecBoost: A Supervised Approach to Text Segmentation

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2005, SEBD.

Fully-Automatic XML Clustering by Structure-Constrained Phrases

Gianni Costa, Riccardo Ortale, R. Ortale, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling

Gianni Costa, Riccardo Ortale, 2018, PAKDD.

Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure

Gianni Costa, Riccardo Ortale, 2019, PAKDD.

Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings

Gianni Costa, Riccardo Ortale, R. Ortale, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Data De-duplication: A Review

Gianni Costa, Riccardo Ortale, Alfredo Cuzzocrea, 2011, Learning Structure and Schemas from Documents.

A hierarchical model-based approach to co-clustering high-dimensional data

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2008, SAC '08.

A Tree-Based Approach to Clustering XML Documents by Structure

Gianni Costa, Riccardo Ortale, Andrea Tagarelli, 2004, PKDD.

A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization

Gianni Costa, Riccardo Ortale, R. Ortale, 2013, 2013 12th International Conference on Machine Learning and Applications.

From global to local and viceversa: uses of associative rule learning for classification in imprecise environments

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, Knowledge and Information Systems.

Mining models of exceptional objects through rule learning

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2010, SAC '10.

Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications

Riccardo Ortale, Alfredo Cuzzocrea, Ettore Ritacco, 2012, APWeb.

Riccardo Ortale, Domenico Saccà, Giuseppe Manco, 2003, SAC '03.

DAEDALUS: A knowledge discovery analysis framework for movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, SEBD.

Rule Learning with Probabilistic Smoothing

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, DaWaK.

Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data

Eugenio Cesario, Riccardo Ortale, Giuseppe Manco, 2007, IEEE Transactions on Knowledge and Data Engineering.

Structure-oriented clustering of XML documents: A transactional approach

Gianni Costa, Riccardo Ortale, R. Ortale, 2012, 2012 6th IEEE International Conference Intelligent Systems.

Hierarchical clustering of XML documents focused on structural components

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2013, Data Knowl. Eng..

A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation

Gianni Costa, Riccardo Ortale, R. Ortale, 2016, IDA.

Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions

Gianni Costa, Riccardo Ortale, R. Ortale, 2018, ACM Trans. Knowl. Discov. Data.

A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data

Francesco Folino, Gianni Costa, Riccardo Ortale, 2007, SEBD.

Effective XML Classification Using Content and Structural Information via Rule Learning

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm

Gianni Costa, Riccardo Ortale, R. Ortale, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining

Riccardo Ortale, Andrea Tagarelli, Giuseppe Manco, 2009 .

WI'05 Non-PC Reviewers

Yuxin Mao, Ivan Janciak, Fabio Vitali, 2005, Web Intelligence.

Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering

Gianni Costa, Riccardo Ortale, R. Ortale, 2020, PAKDD.

A new architectural paradigm for content-based web applications: Borè

Riccardo Ortale, Ettore Ritacco, Antonio Bevacqua, 2011, IDEAS '11.

Boosting text segmentation via progressive classification

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2008, Knowledge and Information Systems.

Clustering of XML Documents by Structure based on Tree Matching and Merging

Gianni Costa, Riccardo Ortale, Andrea Tagarelli, 2004, SEBD.

Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes

Gianni Costa, Riccardo Ortale, R. Ortale, 2017, WISE.

Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference

Gianni Costa, Riccardo Ortale, R. Ortale, 2020, Eng. Appl. Artif. Intell..

XML Document Co-clustering via Non-negative Matrix Tri-factorization

Gianni Costa, Riccardo Ortale, R. Ortale, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

An incremental clustering scheme for data de-duplication

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2009, Data Mining and Knowledge Discovery.

A Transactional Approach to Associative XML Classification by Content and Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, KDIR.

Clustering Relational Data: A Transactional Approach

Gianni Costa, Riccardo Ortale, Alfredo Cuzzocrea, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Modeling Adaptive Hypermedia with an Object-Oriented Approach and XML

Mario Cannataro, Riccardo Ortale, Alfredo Cuzzocrea, 2002, WebDyn@WWW.

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data

Nicola Barbieri, Riccardo Ortale, Ettore Ritacco, 2012, SDM.

Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective

Gianni Costa, Riccardo Ortale, R. Ortale, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling

Gianni Costa, Riccardo Ortale, R. Ortale, 2016, OTM Conferences.

The DAEDALUS framework: progressive querying and mining of movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, GIS '08.

Probabilistic analysis of communities and inner roles in networks: Bayesian generative models and approximate inference

Gianni Costa, Riccardo Ortale, R. Ortale, 2013, Social Network Analysis and Mining.

A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, SEBD.

A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks

Gianni Costa, Riccardo Ortale, R. Ortale, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications

Riccardo Ortale, Alfredo Cuzzocrea, Ettore Ritacco, 2013, SEBD.

XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams

Gianni Costa, Riccardo Ortale, R. Ortale, 2017, Int. J. Artif. Intell. Tools.

Structure-Oriented Techniques for XML Document Partitioning

Gianni Costa, Riccardo Ortale, R. Ortale, 2016 .

Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling

Gianni Costa, Riccardo Ortale, R. Ortale, 2021, Knowl. Based Syst..

Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors

Gianni Costa, Riccardo Ortale, R. Ortale, 2021, Inf. Sci..

Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference

Gianni Costa, Riccardo Ortale, R. Ortale, 2022, Artif. Intell..