Esposito, Floriana, 1947-....
Floriana Esposito Italian computer scientist
Esposito, Floriana
VIAF ID: 18123244 (Personal)
Permalink: http://viaf.org/viaf/18123244
Preferred Forms
- 200 _ | ‡a Esposito ‡b Floriana
- 100 1 _ ‡a Esposito, Floriana (sparse)
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- 100 1 _ ‡a Esposito, Floriana ‡d 1947-
- 100 1 _ ‡a Esposito, Floriana ‡d 1947-
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- 100 1 _ ‡a Esposito, Floriana, ‡d 1947-
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- 100 1 _ ‡a Esposito, Floriana, ‡d 1947-....
- 100 0 _ ‡a Floriana Esposito ‡c Italian computer scientist
4xx's: Alternate Name Forms (1)
5xx's: Related Names (1)
Works
Title | Sources |
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Adding machine learning and knowledge intensive techniques to a digital library service | |
AIIA 2001 | |
Approximate classification with web ontologies through evidential terminological trees and forests | |
Associazione italiana per l'intelligenza artificiale. Congress (7th : 2001 : Bari, Italy). AI*IA 2001, 2001: | |
Classification in noisy environments using a distance measure between structural symbolic descriptions | |
A comparative analysis of methods for pruning decision trees | |
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection | |
Density Estimators for Positive-Unlabeled Learning | |
Digital libraries and archives : 7th Italian research conference, IRCDL 2011, Pisa, Italy, January 20-21, 2011 : revised selected papers | |
Efficient Resource Retrieval from Semantic Knowledge Bases | |
Empowering a GIS with inductive learning capabilities: the case of INGENS | |
Engineering SLS Algorithms for Statistical Relational Models | |
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies | |
Foundations of intelligent systems : 16th international symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006 : proceedings | |
Fuzzy Clustering for Categorical Spaces | |
A Gaussian Process Model for Knowledge Propagation in Web Ontologies | |
Induction of robust classifiers for web ontologies through kernel machines | |
Inductive Classification Through Evidence-Based Models and Their Ensembles | |
Inductive Query Answering and Concept Retrieval Exploiting Local Models | |
Inductive reasoning and semantic web search | |
Inference of abduction theories for handling incompleteness in first-order learning | |
Innovations in applied artificial intelligence : 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005 : proceedings | |
Instance-based retrieval by analogy | |
Introduction to the special issue | |
IRCDL 2012 | |
Knowledge-Intensive Induction of Terminologies from Metadata | |
Learning Complex Activity Preconditions in Process Mining | |
Learning Semantic Web Rules within the Framework of SHIQ+log | |
Learning with Kernels in Description Logics | |
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, Septemb- er 15-19, 2014. Proceedings, Part II | |
Machine learning in computer vision | |
Machine Learning Methods for Ontology Mining | |
MBlab: Molecular Biodiversity Laboratory | |
Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training | |
A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases | |
Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages | |
PKDD 2004 | |
Post-proceedings of the third Italian research conference on digital library systems (IRCDL 2007), Padova, 29-31 January 2007 | |
Prediction of class and property assertions on OWL ontologies through evidence combination | |
Pushing the Boundaries of the Digital Libraries Field: Preface IRCDL 2014 | |
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases | |
Rank prediction for semantically annotated resources | |
Recovering uncertain mappings through structural validation and aggregation with the MoTo system | |
ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification | |
Special issue on multistrategy learning | |
Statistical Learning for Inductive Query Answering on OWL Ontologies | |
Supporting Integrated Tourism Services with Semantic Technologies and Machine Learning | |
Terminological Cluster Trees for Disjointness Axiom Discovery | |
Top-down induction of model trees with regression and splitting nodes | |
Towards the induction of terminological decision trees | |
Tractable Feature Generation Through Description Logics with Value and Number Restrictions | |
Transforming paper documents into XML format with WISDOM++ | |
Using Machine Learning Techniques for Modelling and Simulation of Metabolic Networks |