Nicola Fanizzi

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 22

Top Venues

Publications

Roberto Barile, Claudia d'Amato, Nicola Fanizzi
Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization. ESWC (1) (2024)
Christian Riefolo, Nicola Fanizzi, Claudia d'Amato
Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs. CoRR (2024)
Claudia d'Amato, Francesco Benedetti, Nicola Fanizzi
Efficient Explanation of Predictions on DL Knowledge Graphs through Enhanced Similarity Search. Description Logics (2023)
Nicola Fanizzi, Claudia d'Amato
Towards Interpretable Probabilistic Classification Models for Knowledge Graphs. SITIS (2022)
Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi
Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. ILP (2021)
Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi
Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs. ESWC (2021)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi
An unsupervised approach to disjointness learning based on terminological cluster trees. Semantic Web 12 (3) (2021)
Claudia d'Amato, Pierpaolo Masella, Nicola Fanizzi
An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs. WI/IAT (2021)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato
Class expression induction as concept space exploration: From DL-Foil to DL-Focl. Future Gener. Comput. Syst. 108 (2020)
Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato
Boosting DL Concept Learners. ESWC (2019)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate classification with web ontologies through evidential terminological trees and forests. Int. J. Approx. Reason. 92 (2018)
Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web 12 (1) (2018)
Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato, Floriana Esposito
DLFoil: Class Expression Learning Revisited. EKAW (2018)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
A Framework for Tackling Myopia in Concept Learning on the Web of Data. EKAW (2018)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Terminological Cluster Trees for Disjointness Axiom Discovery. ESWC (1) (2017)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Tree-based models for inductive classification on the Web Of Data. J. Web Semant. 45 (2017)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Induction of Terminological Cluster Trees. URSW@ISWC (2016)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. DS (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Efficient energy-based embedding models for link prediction in knowledge graphs. J. Intell. Inf. Syst. 47 (1) (2016)
Giuseppe Rizzo, Nicola Fanizzi, Jens Lehmann, Lorenz Bühmann
Integrating New Refinement Operators in Terminological Decision Trees Learning. EKAW (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. J. Data Semant. 5 (4) (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Leveraging the schema in latent factor models for knowledge graph completion. SAC (2016)
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. ICMLA (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi
On the Effectiveness of Evidence-Based Terminological Decision Trees. ISMIS (2015)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs. URSW@ISWC (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Inductive Classification Through Evidence-Based Models and Their Ensembles. ESWC (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. EKAW (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness. URSW (LNCS Vol.) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Adaptive Knowledge Propagation in Web Ontologies. EKAW (2014)
Claudia d'Amato, Nicola Fanizzi, Marko Grobelnik, Agnieszka Lawrynowicz, Vojtech Svátek
Inductive Reasoning and Machine Learning for the Semantic Web. Semantic Web 5 (1) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
Learning to Propagate Knowledge in Web Ontologies. URSW (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Gaussian Process Model for Knowledge Propagation in Web Ontologies. ICDM (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Graph-Based Regularization for Transductive Class-Membership Prediction. URSW (LNCS Vol.) (2014)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Towards Evidence-Based Terminological Decision Trees. IPMU (1) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Transductive Inference for Class-Membership Propagation in Web Ontologies. ESWC (2013)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) (2013)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Assertion Prediction with Ontologies through Evidence Combination. URSW (LNCS Vol.) (2013)
Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7 (2) (2013)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) (2013)
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Rank prediction for semantically annotated resources. SAC (2013)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Pasquale Minervini
Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. Int. J. Semantic Comput. 6 (4) (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. ICSC (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of robust classifiers for web ontologies through kernel machines. J. Web Semant. 11 (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training. ICSC (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. CILC (2012)
Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
Mining the Semantic Web - Statistical learning for next generation knowledge bases. Data Min. Knowl. Discov. 24 (3) (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. SAC (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
A Graph Regularization Based Approach to Transductive Class-Membership Prediction. URSW (2012)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. 65 (2-3) (2012)
Nicola Fanizzi
Concept Induction in Description Logics Using Information-Theoretic Heuristics. Int. J. Semantic Web Inf. Syst. 7 (2) (2011)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Prediction of class and property assertions on OWL ontologies through evidence combination. WIMS (2011)
Nicola Fanizzi, Claudia d'Amato
Learning with Semantic Kernels for Clausal Knowledge Bases. ISMIS (2011)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge. URSW (2011)
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
Recovering uncertain mappings through structural validation and aggregation with the MoTo system. SAC (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of Concepts in Web Ontologies through Terminological Decision Trees. ECML/PKDD (1) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards Learning to Rank in Description Logics. ECAI (2010)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito
Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases. Int. J. Semantic Comput. 4 (4) (2010)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Combining Semantic Web Search with the Power of Inductive Reasoning. SUM (2010)
Claudia d'Amato, Nicola Fanizzi, Agnieszka Lawrynowicz
Categorize by: Deductive Aggregation of Semantic Web Query Results. ESWC (1) (2010)
Thomas Scharrenbach, Claudia d'Amato, Nicola Fanizzi, Rolf Grütter, Bettina Waldvogel, Abraham Bernstein
Default Logics for Plausible Reasoning with Controversial Axioms. URSW (2010)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito
Efficient Resource Retrieval from Semantic Knowledge Bases. ICSC (2010)
Agnieszka Lawrynowicz, Claudia d'Amato, Nicola Fanizzi
A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. KES (3) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Learning to Rank Individuals in Description Logics Using Kernel Perceptrons. RR (2010)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Inductive learning for the Semantic Web: What does it buy? Semantic Web 1 (1-2) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards the induction of terminological decision trees. SAC (2010)
Floriana Esposito, Claudia d'Amato, Nicola Fanizzi
Fuzzy Clustering for Semantic Knowledge Bases. Fundam. Informaticae 99 (2) (2010)
Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Inductive reasoning and semantic web search. SAC (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. Int. J. Semantic Web Inf. Syst. 5 (4) (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Fuzzy Clustering for Categorical Spaces. ISMIS (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification. ESWC (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning. URSW (2009)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Combining Semantic Web Search with the Power of Inductive Reasoning. URSW (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Metric-based stochastic conceptual clustering for ontologies. Inf. Syst. 34 (8) (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. Web Intelligence (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Semantic Similarity Measure for Expressive Description Logics CoRR (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW (LNCS Vol.) (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Note on the Evaluation of Inductive Concept Classification Procedures. SWAP (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases. ICSC (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
DL-FOIL Concept Learning in Description Logics. ILP (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Distance-Based Classification in OWL Ontologies. KES (2) (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Analogical Reasoning in Description Logics. URSW (LNCS Vol.) (2008)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi
On the Influence of Description Logics Ontologies on Conceptual Similarity. EKAW (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases. ISMIS (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Classification and Retrieval through Semantic Kernels. KES (3) (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with Ontologies. Int. J. Semantic Comput. 2 (3) (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies. DEXA (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Statistical Learning for Inductive Query Answering on OWL Ontologies. ISWC (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Query Answering and Ontology Population: An Inductive Approach. ESWC (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Learning with Kernels in Description Logics. ILP (2008)
Claudia d'Amato, Nicola Fanizzi, Thomas Lukasiewicz
Tractable Reasoning with Bayesian Description Logics. SUM (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection. ESWC (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Thomas Lukasiewicz
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics. Int. J. Semantic Web Inf. Syst. 4 (3) (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Instance-Based Query Answering with Semantic Knowledge Bases. AI*IA (2007)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW (2007)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases. ILP (2007)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate Query Answering and Ranking for Semantic Knowledge Bases. SEBD (2007)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of Optimal Semi-distances for Individuals based on Feature Sets. Description Logics (2007)
Nicola Fanizzi, Claudia d'Amato
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. KES (1) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicola Fanizzi