Riccardo Ortale
Orcid: 0000-0002-1763-9121
According to our database1,
Riccardo Ortale
authored at least 67 papers
between 2002 and 2024.
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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
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
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
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
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
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
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
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
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
Data Knowl. Eng., 2013
A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 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
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
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
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
2011
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
Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011), September 21, 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
2010
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
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
Proceedings of the ICTAI 2009, 2009
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
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008
2007
IEEE Trans. Knowl. Data Eng., 2007
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007
2005
RecBoost: A Supervised Approach to Text Segmentation.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005
2004
Clustering of XML Documents by Structure based on Tree Matching and Merging.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004
2003
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003
2002
Proceedings of the Second International Workshop on Web Dynamics, 2002