Gianni Costa

Orcid: 0000-0003-2267-9280

According to our database1, Gianni Costa authored at least 62 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices.
Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2024

2023
<i>Ask and Ye shall be Answered</i>: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering.
Inf. Fusion, November, 2023

<i>Here are the answers. What is your question?</i> Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities.
Expert Syst. Appl., September, 2023

Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security.
IEEE Trans. Serv. Comput., 2023

2022
Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters.
Int. J. Approx. Reason., 2022

Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference.
Artif. Intell., 2022

Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling.
Knowl. Based Syst., 2021

Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors.
Inf. Sci., 2021

2020
Topic-aware joint analysis of overlapping communities and roles in social media.
Int. J. Data Sci. Anal., 2020

Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference.
Eng. Appl. Artif. Intell., 2020

Document Clustering Meets Topic Modeling with Word Embeddings.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions.
ACM Trans. Knowl. Discov. Data, 2018

Machine learning techniques for XML (co-)clustering by structure-constrained phrases.
Inf. Retr. J., 2018

Topical Cluster Discovery in Semistructured Healthcare Data.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams.
Int. J. Artif. Intell. Tools, 2017

Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

2016
Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks.
ACM Trans. Internet Techn., 2016

Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015
Fully-Automatic XML Clustering by Structure-Constrained Phrases.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Dealing with trajectory streams by clustering and mathematical transforms.
J. Intell. Inf. Syst., 2014

A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

XML Document Co-clustering via Non-negative Matrix Tri-factorization.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
X-Class: Associative Classification of XML Documents by Structure.
ACM Trans. Inf. Syst., 2013

Probabilistic analysis of communities and inner roles in networks: Bayesian generative models and approximate inference.
Soc. Netw. Anal. Min., 2013

Hierarchical clustering of XML documents focused on structural components.
Data Knowl. Eng., 2013

Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Effectively Grouping Trajectory Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Structure-oriented clustering of XML documents: A transactional approach.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Data De-duplication: A Review.
Proceedings of the Learning Structure and Schemas from Documents, 2011

From global to local and viceversa: uses of associative rule learning for classification in imprecise environments.
Knowl. Inf. Syst., 2011

Modeling item selection and relevance for accurate recommendations: a bayesian approach.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Effective XML Classification Using Content and Structural Information via Rule Learning.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A Transactional Approach to Associative XML Classification by Content and Structure.
Proceedings of the KDIR 2011, 2011

Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

A Block Coclustering Model for Pattern Discovering in Users' Preference Data.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Characterizing Relationships through Co-clustering - A Probabilistic Approach.
Proceedings of the KDIR 2011, 2011

2010
An incremental clustering scheme for data de-duplication.
Data Min. Knowl. Discov., 2010

Fast and Effective Hierarchical Clustering of XML Documents by Structure.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Mining models of exceptional objects through rule learning.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Clustering Relational Data: A Transactional Approach.
Proceedings of the ICTAI 2009, 2009

Rule Learning with Probabilistic Smoothing.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
DAEDALUS: A knowledge discovery analysis framework for movement data.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

A hierarchical model-based approach to co-clustering high-dimensional data.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

The DAEDALUS framework: progressive querying and mining of movement data.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

2007
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

2004
Clustering of XML Documents by Structure based on Tree Matching and Merging.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

A Tree-Based Approach to Clustering XML Documents by Structure.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Efficient Query Evaluation over Compressed XML Data.
Proceedings of the Advances in Database Technology, 2004

2003
Xquec: Pushing Queries to Compressed XML Data.
Proceedings of 29th International Conference on Very Large Data Bases, 2003


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