Riccardo Ortale

70 papers A* 1A 3B 13C 5Misc 3Journal 19Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MedRule: An Interpretable Rule Induction Framework for Reliable Clinical Decisions. CSAI Gianni Costa, Riccardo Ortale
2025	J	`jnl`	Unifying clustering and representation learning for unsupervised text analysis: A Bayesian knowledge-enhanced approach. Inf. Fusion Gianni Costa, Riccardo Ortale
2024	—	`conf`	A Bayesian Generative Approach to Topic-Based Clustering in XML Corpora. CSAI Gianni Costa, Riccardo Ortale
2024	B	`conf`	An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop Protection. IEEE Big Data Gianni Costa, Agostino Forestiero, Antonio Francesco Gentile, Davide Macrì, Riccardo Ortale, Bruno Bernardi, Emanuele Cerruto
2024	—	`conf`	Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices. pHealth Gianni Costa, Agostino Forestiero, Davide Macrì, Riccardo Ortale
2023	J	`jnl`	Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security. IEEE Trans. Serv. Comput. Gianni Costa, Agostino Forestiero, Riccardo Ortale
2022	J	`jnl`	Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters. Int. J. Approx. Reason. Gianni Costa, Riccardo Ortale
2022	A*	`conf`	Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract). IJCAI Gianni Costa, Riccardo Ortale
2022	J	`jnl`	Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference. Artif. Intell. Gianni Costa, Riccardo Ortale
2021	J	`jnl`	Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling. Knowl. Based Syst. Gianni Costa, Riccardo Ortale
2021	J	`jnl`	Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors. Inf. Sci. Gianni Costa, Riccardo Ortale
2020	—	`conf`	Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering. PAKDD (1) Gianni Costa, Riccardo Ortale
2020	A	`conf`	Document Clustering Meets Topic Modeling with Word Embeddings. SDM Gianni Costa, Riccardo Ortale
2020	J	`jnl`	Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference. Eng. Appl. Artif. Intell. Gianni Costa, Riccardo Ortale
2020	J	`jnl`	Topic-aware joint analysis of overlapping communities and roles in social media. Int. J. Data Sci. Anal. Gianni Costa, Riccardo Ortale
2019	B	`conf`	Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective. ICTAI Gianni Costa, Riccardo Ortale
2019	—	`conf`	Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure. PAKDD (3) Gianni Costa, Riccardo Ortale
2018	J	`jnl`	Machine learning techniques for XML (co-)clustering by structure-constrained phrases. Inf. Retr. J. Gianni Costa, Riccardo Ortale
2018	—	`conf`	Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling. PAKDD (2) Gianni Costa, Riccardo Ortale
2018	J	`jnl`	Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions. ACM Trans. Knowl. Discov. Data Gianni Costa, Riccardo Ortale
2018	B	`conf`	Topical Cluster Discovery in Semistructured Healthcare Data. WI Gianni Costa, Riccardo Ortale
2017	—	`conf`	Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes. WISE (1) Gianni Costa, Riccardo Ortale
2017	J	`jnl`	XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams. Int. J. Artif. Intell. Tools Gianni Costa, Riccardo Ortale
2016	B	`conf`	A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation. IDA Gianni Costa, Riccardo Ortale
2016	J	`jnl`	Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks. ACM Trans. Internet Techn. Gianni Costa, Riccardo Ortale
2016	—	`conf`	Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling. OTM Conferences Gianni Costa, Riccardo Ortale
2015	B	`conf`	Fully-Automatic XML Clustering by Structure-Constrained Phrases. ICTAI Gianni Costa, Riccardo Ortale
2015	C	`conf`	Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling. ICMLA Gianni Costa, Riccardo Ortale
2014	—	`conf`	A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. ECML/PKDD (1) Gianni Costa, Giuseppe Manco, Riccardo Ortale
2014	B	`conf`	A unified generative Bayesian model for community discovery and role assignment based upon latent interaction factors. ASONAM Gianni Costa, Riccardo Ortale
2014	B	`conf`	XML Document Co-clustering via Non-negative Matrix Tri-factorization. ICTAI Gianni Costa, Riccardo Ortale
2013	—	`conf`	A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization. ICMLA (1) Gianni Costa, Riccardo Ortale
2013	—	`conf`	A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications. SEBD Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
2013	B	`conf`	Developments in Partitioning XML Documents by Content and Structure Based on Combining Multiple Clusterings. ICTAI Gianni Costa, Riccardo Ortale
2013	J	`jnl`	Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2013	J	`jnl`	Probabilistic analysis of communities and inner roles in networks: Bayesian generative models and approximate inference. Soc. Netw. Anal. Min. Gianni Costa, Riccardo Ortale
2013	J	`jnl`	X-Class: Associative Classification of XML Documents by Structure. ACM Trans. Inf. Syst. Gianni Costa, Riccardo Ortale, Ettore Ritacco
2012	B	`conf`	A Bayesian Hierarchical Approach for Exploratory Analysis of Communities and Roles in Social Networks. ASONAM Gianni Costa, Riccardo Ortale
2012	A	`conf`	Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2012	C	`conf`	Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications. APWeb Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
2012	B	`conf`	On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm. ICTAI Gianni Costa, Riccardo Ortale
2012	—	`conf`	Structure-oriented clustering of XML documents: A transactional approach. IEEE Conf. of Intelligent Systems Gianni Costa, Riccardo Ortale
2011	—	`conf`	A Transactional Approach to Associative XML Classification by Content and Structure. KDIR Gianni Costa, Riccardo Ortale, Ettore Ritacco
2011	C	`conf`	A new architectural paradigm for content-based web applications: Borè. IDEAS Antonio Bevacqua, Marco Carnuccio, Riccardo Ortale, Ettore Ritacco
2011	—	`ch.`	Data De-duplication: A Review. Learning Structure and Schemas from Documents Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale
2011	B	`conf`	Effective XML Classification Using Content and Structural Information via Rule Learning. ICTAI Gianni Costa, Riccardo Ortale, Ettore Ritacco
2011	J	`jnl`	From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2011	C	`conf`	Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content. IC3K Gianni Costa, Riccardo Ortale, Ettore Ritacco
2011	A	`conf`	Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale
2010	J	`jnl`	An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov. Gianni Costa, Giuseppe Manco, Riccardo Ortale
2010	—	`conf`	Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2010	Misc	`conf`	Mining models of exceptional objects through rule learning. SAC Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale
2009	—	`conf`	A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2009	B	`conf`	Clustering Relational Data: A Transactional Approach. ICTAI Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale
2009	B	`conf`	Rule Learning with Probabilistic Smoothing. DaWaK Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2008	Misc	`conf`	A hierarchical model-based approach to co-clustering high-dimensional data. SAC Gianni Costa, Giuseppe Manco, Riccardo Ortale
2008	J	`jnl`	Boosting text segmentation via progressive classification. Knowl. Inf. Syst. Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2008	—	`conf`	DAEDALUS: A knowledge discovery analysis framework for movement data. SEBD Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
2008	—	`conf`	The DAEDALUS framework: progressive querying and mining of movement data. GIS Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
2007	—	`conf`	A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
2007	—	`conf`	Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. ICDE Workshops Gianni Costa, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2007	J	`jnl`	Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Trans. Knowl. Data Eng. Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
2006	—	`conf`	Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. SEBD Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
2005	—	`conf`	RecBoost: A Supervised Approach to Text Segmentation. SEBD Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2005	—	`—`	Web mining for personalization. Riccardo Ortale
2004	—	`conf`	A Tree-Based Approach to Clustering XML Documents by Structure. PKDD Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
2004	—	`conf`	Clustering of XML Documents by Structure based on Tree Matching and Merging. SEBD Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
2004	C	`conf`	Putting Enhanced Hypermedia Personalization into Practice via Web Mining. DEXA Eugenio Cesario, Francesco Folino, Riccardo Ortale
2003	Misc	`conf`	Similarity-Based Clustering of Web Transactions. SAC Giuseppe Manco, Riccardo Ortale, Domenico Saccà
2002	—	`conf`	Modeling Adaptive Hypermedia with an Object-Oriented Approach and XML. WebDyn@WWW Mario Cannataro, Alfredo Cuzzocrea, Carlo Mastroianni, Riccardo Ortale, Andrea Pugliese