| Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters | 0 | 0.34 | 2022 |
| Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract). | 0 | 0.34 | 2022 |
| Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference | 0 | 0.34 | 2022 |
| Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling | 0 | 0.34 | 2021 |
| Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors | 0 | 0.34 | 2021 |
| Topic-aware joint analysis of overlapping communities and roles in social media | 1 | 0.36 | 2020 |
| Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference. | 0 | 0.34 | 2020 |
| Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering. | 0 | 0.34 | 2020 |
| Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure | 0 | 0.34 | 2019 |
| Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective | 0 | 0.34 | 2019 |
| Machine learning techniques for XML (co-)clustering by structure-constrained phrases. | 0 | 0.34 | 2018 |
| Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling. | 0 | 0.34 | 2018 |
| Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions. | 1 | 0.37 | 2018 |
| Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes. | 0 | 0.34 | 2017 |
| Xml Clustering By Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams | 0 | 0.34 | 2017 |
| Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling. | 2 | 0.36 | 2016 |
| A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation. | 2 | 0.36 | 2016 |
| Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks. | 10 | 0.50 | 2016 |
| Fully-Automatic XML Clustering by Structure-Constrained Phrases | 2 | 0.37 | 2015 |
| Mining Clusters In Xml Corpora Based On Bayesian Generative Topic Modeling | 1 | 0.35 | 2015 |
| Dealing with trajectory streams by clustering and mathematical transforms | 2 | 0.38 | 2014 |
| A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors | 7 | 0.45 | 2014 |
| XML Document Co-clustering via Non-negative Matrix Tri-factorization | 4 | 0.39 | 2014 |
| A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. | 2 | 0.35 | 2014 |
| Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings | 5 | 0.42 | 2013 |
| Hierarchical clustering of XML documents focused on structural components | 12 | 0.56 | 2013 |
| A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization | 6 | 0.42 | 2013 |
| Probabilistic analysis of communities and inner roles in networks: Bayesian generative models and approximate inference. | 8 | 0.45 | 2013 |
| X-Class: Associative Classification of XML Documents by Structure | 7 | 0.49 | 2013 |
| Effectively grouping trajectory streams | 1 | 0.35 | 2012 |
| Structure-oriented clustering of XML documents: A transactional approach. | 5 | 0.42 | 2012 |
| A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks | 15 | 0.69 | 2012 |
| Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content | 0 | 0.34 | 2011 |
| From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. | 4 | 0.38 | 2011 |
| Characterizing Relationships Through Co-Clustering a Probabilistic Approach | 0 | 0.34 | 2011 |
| A Transactional Approach to Associative XML Classification by Content and Structure. | 3 | 0.40 | 2011 |
| Effective XML Classification Using Content and Structural Information via Rule Learning | 11 | 0.53 | 2011 |
| A Block Coclustering Model for Pattern Discovering in Users’ Preference Data | 0 | 0.34 | 2011 |
| Modeling item selection and relevance for accurate recommendations: a bayesian approach | 7 | 0.48 | 2011 |
| Fast and Effective Hierarchical Clustering of XML Documents by Structure. | 0 | 0.34 | 2010 |
| Mining models of exceptional objects through rule learning | 1 | 0.35 | 2010 |
| An incremental clustering scheme for data de-duplication | 17 | 0.73 | 2010 |
| Clustering Relational Data: A Transactional Approach | 0 | 0.34 | 2009 |
| Rule Learning with Probabilistic Smoothing | 1 | 0.35 | 2009 |
| A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains | 0 | 0.34 | 2009 |
| A hierarchical model-based approach to co-clustering high-dimensional data | 8 | 0.48 | 2008 |
| DAEDALUS: A knowledge discovery analysis framework for movement data | 2 | 1.03 | 2008 |
| A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data | 0 | 0.34 | 2007 |
| Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario | 2 | 0.46 | 2007 |
| Efficient Query Evaluation over Compressed XML Data | 24 | 0.97 | 2004 |
