130 results on '"Riccardo Ortale"'
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2. Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security.
3. Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract).
4. Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters.
5. Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering.
6. Document Clustering Meets Topic Modeling with Word Embeddings.
7. Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors.
8. Here are the answers. What is your question? Bayesian collaborative tag-based recommendation of time-sensitive expertise in question-answering communities.
9. Ask and Ye shall be Answered: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering.
10. Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure.
11. Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective.
12. Topic-aware joint analysis of overlapping communities and roles in social media.
13. Topical Cluster Discovery in Semistructured Healthcare Data.
14. Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling.
15. Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference.
16. Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes.
17. Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions.
18. Machine learning techniques for XML (co-)clustering by structure-constrained phrases.
19. Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling.
20. A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation.
21. XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams.
22. Fully-Automatic XML Clustering by Structure-Constrained Phrases.
23. Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling.
24. Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling.
25. Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks.
26. XML Document Co-clustering via Non-negative Matrix Tri-factorization.
27. A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships.
28. A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors.
29. Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings.
30. A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications.
31. A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization.
32. On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm.
33. Structure-oriented clustering of XML documents: A transactional approach.
34. Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications.
35. A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks.
36. Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
37. Effective XML Classification Using Content and Structural Information via Rule Learning.
38. Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content.
39. A Transactional Approach to Associative XML Classification by Content and Structure.
40. A new architectural paradigm for content-based web applications: Borè.
41. Modeling item selection and relevance for accurate recommendations: a bayesian approach.
42. Data De-duplication: A Review.
43. Fast and Effective Hierarchical Clustering of XML Documents by Structure.
44. Mining models of exceptional objects through rule learning.
45. Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference.
46. Clustering Relational Data: A Transactional Approach.
47. A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
48. Rule Learning with Probabilistic Smoothing.
49. DAEDALUS: A knowledge discovery analysis framework for movement data.
50. A hierarchical model-based approach to co-clustering high-dimensional data.
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