R. Ortale

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

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.

Data De-duplication: A Review

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

An incremental clustering scheme for data de-duplication

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

Structure-Oriented Techniques for XML Document Partitioning

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

Hierarchical clustering of XML documents focused on structural components

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

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.

Structure-oriented clustering of XML documents: A transactional approach

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

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

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

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.

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

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

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.

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).

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.

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.

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.

X-Class: Associative Classification of XML Documents by Structure

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

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.

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

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

Riccardo Ortale, Andrea Tagarelli, Giuseppe Manco, 2009 .

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

G. Manco, R. Ortale, E. Ritacco, 2012, Knowledge and Information Systems.

Rule Learning with Probabilistic Smoothing

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

Boosting text segmentation via progressive classification

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

Document Clustering Meets Topic Modeling with Word Embeddings

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

Ask and Ye shall be Answered: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering

R. Ortale, G. Costa, 2023, Inf. Fusion.

Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities

R. Ortale, G. Costa, 2023, Expert Syst. Appl..

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

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

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

R. Ortale, G. Costa, 2013, Social Network Analysis and Mining.

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.

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.

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

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

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

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

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

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

A Transactional Approach to Associative XML Classification by Content and Structure

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

Topical Cluster Discovery in Semistructured Healthcare Data

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

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

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

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).

Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security

R. Ortale, G. Costa, Agostino Forestiero, 2023, IEEE Transactions on Services Computing.

Clustering Relational Data: A Transactional Approach

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