Lista de obras - Floriana Esposito - Dominio Público Uruguay

A Counterfactual-Based Learning Algorithm for $\mathcal{ALC}$ Description Logic

artículo científico publicado en 2005

A Gaussian Process Model for Knowledge Propagation in Web Ontologies

A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases

A comparative analysis of methods for pruning decision trees

article

Adding machine learning and knowledge intensive techniques to a digital library service

scholarly article by Floriana Esposito et al published October 1998 in International Journal on Digital Libraries

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models

Approximate classification with web ontologies through evidential terminological trees and forests

scholarly article by Giuseppe Rizzo et al published January 2018 in International Journal of Approximate Reasoning

Classification in noisy environments using a distance measure between structural symbolic descriptions

Conceptual Clustering Applied to Ontologies

Conceptual Clustering and Its Application to Concept Drift and Novelty Detection

DL-FOIL Concept Learning in Description Logics

Density Estimators for Positive-Unlabeled Learning

artículo científico publicado en 2018

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

Evolutionary Conceptual Clustering of Semantically Annotated Resources

Fuzzy Clustering for Categorical Spaces

Induction of Concepts in Web Ontologies through Terminological Decision Trees

article by Nicola Fanizzi et al published 2010 in Lecture Notes in Computer Science

Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

Induction of robust classifiers for web ontologies through kernel machines

Inductive Classification Through Evidence-Based Models and Their Ensembles

article

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks

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

article by Floriana Esposito et al published 23 March 2006 in Knowledge and Information Systems

Instance-based retrieval by analogy

scholarly article published 2007

Introduction to the special issue

Knowledge-Intensive Induction of Terminologies from Metadata

artículo científico publicado en 2004

Learning Complex Activity Preconditions in Process Mining

Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness

artículo científico publicado en 2014

Learning Semantic Web Rules within the Framework of SHIQ+log

artículo científico publicado en 2008

Learning to Rank Individuals in Description Logics Using Kernel Perceptrons

Learning with Kernels in Description Logics

MBlab: Molecular Biodiversity Laboratory

Machine Learning Methods for Ontology Mining

scholarly article published 20 July 2010

Machine learning in computer vision

scholarly article by Floriana Esposito & Donato Malerba published September 2001 in Applied Artificial Intelligence

Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

article

Metric-based stochastic conceptual clustering for ontologies

Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training

Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases

Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages

Prediction of class and property assertions on OWL ontologies through evidence combination

article

Pushing the Boundaries of the Digital Libraries Field: Preface IRCDL 2014

Query Answering and Ontology Population: An Inductive Approach

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

Statistical Learning for Inductive Query Answering on OWL Ontologies

artículo científico publicado en 2008

Stochastic simulation and modelling of metabolic networks in a machine learning framework

scholarly article by Marenglen Biba et al published October 2011 in Simulation Modelling Practice and Theory

Supporting Integrated Tourism Services with Semantic Technologies and Machine Learning

artículo científico publicado en 2014

Terminological Cluster Trees for Disjointness Axiom Discovery

artículo científico publicado en 2017

Top-down induction of model trees with regression and splitting nodes

article

Towards Evidence-Based Terminological Decision Trees

article

Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees

Towards the induction of terminological decision trees

Tractable Feature Generation Through Description Logics with Value and Number Restrictions

artículo científico publicado en 2006

Transforming paper documents into XML format with WISDOM++

article

Using Machine Learning Techniques for Modelling and Simulation of Metabolic Networks

scholarly article published June 2011

Lista de obras de Floriana Esposito

A Counterfactual-Based Learning Algorithm for $\mathcal{ALC}$ Description Logic

A Gaussian Process Model for Knowledge Propagation in Web Ontologies

A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases

A comparative analysis of methods for pruning decision trees

Adding machine learning and knowledge intensive techniques to a digital library service

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models

Approximate classification with web ontologies through evidential terminological trees and forests

Classification in noisy environments using a distance measure between structural symbolic descriptions

Conceptual Clustering Applied to Ontologies

Conceptual Clustering and Its Application to Concept Drift and Novelty Detection

DL-FOIL Concept Learning in Description Logics

Density Estimators for Positive-Unlabeled Learning

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

Evolutionary Conceptual Clustering of Semantically Annotated Resources

Fuzzy Clustering for Categorical Spaces

Induction of Concepts in Web Ontologies through Terminological Decision Trees

Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

Induction of robust classifiers for web ontologies through kernel machines

Inductive Classification Through Evidence-Based Models and Their Ensembles

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks

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

Instance-based retrieval by analogy

Introduction to the special issue

Knowledge-Intensive Induction of Terminologies from Metadata

Learning Complex Activity Preconditions in Process Mining

Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness

Learning Semantic Web Rules within the Framework of SHIQ+log

Learning to Rank Individuals in Description Logics Using Kernel Perceptrons

Learning with Kernels in Description Logics

MBlab: Molecular Biodiversity Laboratory

Machine Learning Methods for Ontology Mining

Machine learning in computer vision

Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

Metric-based stochastic conceptual clustering for ontologies

Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training

Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases

Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages

Prediction of class and property assertions on OWL ontologies through evidence combination

Pushing the Boundaries of the Digital Libraries Field: Preface IRCDL 2014

Query Answering and Ontology Population: An Inductive Approach

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

Statistical Learning for Inductive Query Answering on OWL Ontologies

Stochastic simulation and modelling of metabolic networks in a machine learning framework

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 Evidence-Based Terminological Decision Trees

Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees

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