Gianni Costa

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 23

Top Topics

Overlapping Communities

Collaborative Recommendation

Variational Inference

Top Venues

IEEE Trans. Serv. Comput.

ACM Trans. Knowl. Discov. Data

Publications

Gianni Costa, Riccardo Ortale
: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering. Inf. Fusion 99 (2023)
Gianni Costa, Riccardo Ortale
Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities. Expert Syst. Appl. 225 (2023)
Gianni Costa, Agostino Forestiero, Riccardo Ortale
Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security. IEEE Trans. Serv. Comput. 16 (6) (2023)
Gianni Costa, Riccardo Ortale
Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference. Artif. Intell. 302 (2022)
Gianni Costa, Riccardo Ortale
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract). IJCAI (2022)
Gianni Costa, Riccardo Ortale
Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters. Int. J. Approx. Reason. 147 (2022)
Gianni Costa, Riccardo Ortale
Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling. Knowl. Based Syst. 234 (2021)
Gianni Costa, Riccardo Ortale
Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors. Inf. Sci. 563 (2021)
Gianni Costa, Riccardo Ortale
Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference. Eng. Appl. Artif. Intell. 89 (2020)
Gianni Costa, Riccardo Ortale
Topic-aware joint analysis of overlapping communities and roles in social media. Int. J. Data Sci. Anal. 9 (4) (2020)
Gianni Costa, Riccardo Ortale
Document Clustering Meets Topic Modeling with Word Embeddings. SDM (2020)
Gianni Costa, Riccardo Ortale
Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering. PAKDD (1) (2020)
Gianni Costa, Riccardo Ortale
Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective. ICTAI (2019)
Gianni Costa, Riccardo Ortale
Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure. PAKDD (3) (2019)
Gianni Costa, Riccardo Ortale
Machine learning techniques for XML (co-)clustering by structure-constrained phrases. Inf. Retr. J. 21 (1) (2018)
Gianni Costa, Riccardo Ortale
Topical Cluster Discovery in Semistructured Healthcare Data. WI (2018)
Gianni Costa, Riccardo Ortale
Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions. ACM Trans. Knowl. Discov. Data 12 (2) (2018)
Gianni Costa, Riccardo Ortale
Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling. PAKDD (2) (2018)
Gianni Costa, Riccardo Ortale
Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes. WISE (1) (2017)
Gianni Costa, Riccardo Ortale
XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams. Int. J. Artif. Intell. Tools 26 (1) (2017)
Gianni Costa, Riccardo Ortale
Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks. ACM Trans. Internet Techn. 16 (3) (2016)
Gianni Costa, Riccardo Ortale
A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation. IDA (2016)
Gianni Costa, Riccardo Ortale
Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling. OTM Conferences (2016)
Gianni Costa, Riccardo Ortale
Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling. ICMLA (2015)
Gianni Costa, Riccardo Ortale
Fully-Automatic XML Clustering by Structure-Constrained Phrases. ICTAI (2015)
Gianni Costa, Riccardo Ortale
A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors. ASONAM (2014)
Gianni Costa, Riccardo Ortale
XML Document Co-clustering via Non-negative Matrix Tri-factorization. ICTAI (2014)
Gianni Costa, Giuseppe Manco, Elio Masciari
Dealing with trajectory streams by clustering and mathematical transforms. J. Intell. Inf. Syst. 42 (1) (2014)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. ECML/PKDD (1) (2014)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
X-Class: Associative Classification of XML Documents by Structure. ACM Trans. Inf. Syst. 31 (1) (2013)
Gianni Costa, Riccardo Ortale
Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings. ICTAI (2013)
Gianni Costa, Riccardo Ortale
A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization. ICMLA (1) (2013)
Gianni Costa, Riccardo Ortale
Probabilistic analysis of communities and inner roles in networks: Bayesian generative models and approximate inference. Soc. Netw. Anal. Min. 3 (4) (2013)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84 (2013)
Gianni Costa, Riccardo Ortale
A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks. ASONAM (2012)
Gianni Costa, Riccardo Ortale
Structure-oriented clustering of XML documents: A transactional approach. IEEE Conf. of Intelligent Systems (2012)
Gianni Costa, Giuseppe Manco, Elio Masciari
Effectively Grouping Trajectory Streams. NFMCP (2012)
Gianni Costa, Riccardo Ortale
On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm. ICTAI (2012)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
A Transactional Approach to Associative XML Classification by Content and Structure. KDIR (2011)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content. IC3K (2011)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
Effective XML Classification Using Content and Structural Information via Rule Learning. ICTAI (2011)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33 (1) (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale
Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys (2011)
Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale
Mining models of exceptional objects through rule learning. SAC (2010)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD (2010)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov. 20 (1) (2010)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Rule Learning with Probabilistic Smoothing. DaWaK (2009)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD (2009)
Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale
Clustering Relational Data: A Transactional Approach. ICTAI (2009)
Gianni Costa, Giuseppe Manco, Riccardo Ortale
A hierarchical model-based approach to co-clustering high-dimensional data. SAC (2008)
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
The DAEDALUS framework: progressive querying and mining of movement data. GIS (2008)
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
DAEDALUS: A knowledge discovery analysis framework for movement data. SEBD (2008)
Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD (2007)
Gianni Costa, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. ICDE Workshops (2007)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
Clustering of XML Documents by Structure based on Tree Matching and Merging. SEBD (2004)
Andrei Arion, Angela Bonifati, Gianni Costa, Sandra D'Aguanno, Ioana Manolescu, Andrea Pugliese
Efficient Query Evaluation over Compressed XML Data. EDBT (2004)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
A Tree-Based Approach to Clustering XML Documents by Structure. PKDD (2004)
Andrei Arion, Angela Bonifati, Gianni Costa, Sandra D'Aguanno, Ioana Manolescu, Andrea Pugliese
Xquec: Pushing Queries to Compressed XML Data. VLDB (2003)