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Induction of robust classifiers for web ontologies through kernel machines

Web semantics, 2012-03, Vol.11, p.1-13

2012

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Induction of Concepts in Web Ontologies through Terminological Decision Trees

Machine Learning and Knowledge Discovery in Databases, p.442-457

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Class expression induction as concept space exploration: From DL-Foil to DL-Focl

Future generation computer systems, 2020-07, Vol.108, p.256-272

2020

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Tree-based models for inductive classification on the Web Of Data

Web semantics, 2017-08, Vol.45, p.1-22

2017

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Approximate classification with web ontologies through evidential terminological trees and forests

International journal of approximate reasoning, 2018-01, Vol.92, p.340-362

2018

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Mining the Semantic Web: Statistical learning for next generation knowledge bases

Data mining and knowledge discovery, 2012-05, Vol.24 (3), p.613-662

2012

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Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs

The Semantic Web, p.441-457

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Integrating New Refinement Operators in Terminological Decision Trees Learning

Knowledge Engineering and Knowledge Management, p.511-526

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Concept Induction in Description Logics Using Information-Theoretic Heuristics

International journal on semantic web and information systems, 2011-04, Vol.7 (2), p.23-44

Fanizzi, Nicola

2011

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Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge

Inductive Logic Programming, 2022, p.1-16

2022

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An algorithm based on counterfactuals for concept learning in the Semantic Web

Applied intelligence (Dordrecht, Netherlands), 2007-04, Vol.26 (2), p.139-159

2007

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Uncertainty Reasoning for the Semantic Web III: ISWC International Workshops, URSW 2011-2013, Revised Selected Papers

1st edition., 2014

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Boosting DL Concept Learners

The Semantic Web, p.68-83

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Efficient energy-based embedding models for link prediction in knowledge graphs

Journal of intelligent information systems, 2016-08, Vol.47 (1), p.91-109

2016

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Adaptive Knowledge Propagation in Web Ontologies

ACM transactions on the web, 2018-02, Vol.12 (1), p.1-28

2018

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An unsupervised approach to disjointness learning based on terminological cluster trees

Semantic Web, 2021-01, Vol.12 (3), p.423-447

2021

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Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization

The Semantic Web, p.180-198

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Inductive learning for the Semantic Web: What does it buy?

Semantic Web, 2010, Vol.1 (1,2), p.53-59

2010

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The blessing of dimensionality: Perspectives of reasoning and learning on hyperdimensional computing/vector symbolic architectures

Neurosymbolic Artificial Intelligence, 2024-07, p.1-15

2024

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Uncertainty Reasoning for the Semantic Web II: International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers

2013, 2013

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Terminological Cluster Trees for Disjointness Axiom Discovery

The Semantic Web, p.184-201

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DLFoil: Class Expression Learning Revisited

Knowledge Engineering and Knowledge Management, p.98-113

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Metric-based stochastic conceptual clustering for ontologies

Information systems (Oxford), 2009-12, Vol.34 (8), p.792-806

2009

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Towards Interpretable Probabilistic Classification Models for Knowledge Graphs

2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022, p.25-31

2022

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Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops, URSW 2005-2007 : Revised Selected and Invited Papers

2008

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Induction of robust classifiers for web ontologies through kernel machines

Induction of Concepts in Web Ontologies through Terminological Decision Trees

Class expression induction as concept space exploration: From DL-Foil to DL-Focl

Tree-based models for inductive classification on the Web Of Data

Approximate classification with web ontologies through evidential terminological trees and forests

Mining the Semantic Web: Statistical learning for next generation knowledge bases

Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs

Integrating New Refinement Operators in Terminological Decision Trees Learning

Concept Induction in Description Logics Using Information-Theoretic Heuristics

Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge

An algorithm based on counterfactuals for concept learning in the Semantic Web

Uncertainty Reasoning for the Semantic Web III: ISWC International Workshops, URSW 2011-2013, Revised Selected Papers

Boosting DL Concept Learners

Efficient energy-based embedding models for link prediction in knowledge graphs

Adaptive Knowledge Propagation in Web Ontologies

An unsupervised approach to disjointness learning based on terminological cluster trees

Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization

Inductive learning for the Semantic Web: What does it buy?

The blessing of dimensionality: Perspectives of reasoning and learning on hyperdimensional computing/vector symbolic architectures

Uncertainty Reasoning for the Semantic Web II: International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers

Terminological Cluster Trees for Disjointness Axiom Discovery

DLFoil: Class Expression Learning Revisited

Metric-based stochastic conceptual clustering for ontologies

Towards Interpretable Probabilistic Classification Models for Knowledge Graphs

Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops, URSW 2005-2007 : Revised Selected and Invited Papers

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