Name
Papers
Collaborators
NICOLA FANIZZI
145
59
Citations 
PageRank 
Referers 
1124
90.54
873
Referees 
References 
1243
1872
Search Limit
1001000
Title
Citations
PageRank
Year
Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs00.342021
An Unsupervised Approach To Disjointness Learning Based On Terminological Cluster Trees00.342021
An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs00.342021
Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge00.342021
Approximate classification with web ontologies through evidential terminological trees and forests.10.352018
A Framework for Tackling Myopia in Concept Learning on the Web of Data.00.342018
DLFoil: Class Expression Learning Revisited.00.342018
Tree-based models for inductive classification on the Web Of Data.10.362017
Terminological Cluster Trees for Disjointness Axiom Discovery.00.342017
Efficient energy-based embedding models for link prediction in knowledge graphs.50.432016
Induction of Terminological Cluster Trees.10.362016
Integrating New Refinement Operators in Terminological Decision Trees Learning.20.382016
Leveraging the schema in latent factor models for knowledge graph completion.20.382016
On the Effectiveness of Evidence-Based Terminological Decision Trees.40.412015
Inductive Classification Through Evidence-Based Models and Their Ensembles30.372015
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness.00.342014
Inductive Reasoning and Machine Learning for the Semantic Web20.362014
Graph-Based Regularization for Transductive Class-Membership Prediction.00.342014
Learning to Propagate Knowledge in Web Ontologies.20.402014
Semantic Web Search and Inductive Reasoning.10.362013
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.10.352013
Italian Machine Learning And Data Mining Research: The Last Years00.342013
Rank prediction for semantically annotated resources10.352013
Transductive Inference for Class-Membership Propagation in Web Ontologies.30.382013
Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training20.392012
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning20.402012
Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees30.372012
A Graph Regularization Based Approach to Transductive Class-Membership Prediction.20.362012
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge40.392012
Concept Induction in Description Logics Using Information-Theoretic Heuristics30.402011
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge.00.342011
Learning to rank individuals in description logics using kernel perceptrons30.462010
Fuzzy Clustering for Semantic Knowledge Bases30.402010
Recovering uncertain mappings through structural validation and aggregation with the MoTo system10.342010
Efficient Resource Retrieval from Semantic Knowledge Bases10.372010
Inductive learning for the Semantic Web: What does it buy?281.342010
Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases.00.342010
Combining Semantic Web Search with the Power of Inductive Reasoning60.562010
A refinement operator based method for semantic grouping of conjunctive query results10.372010
Towards the induction of terminological decision trees30.382010
Default Logics for Plausible Reasoning with Controversial Axioms.00.342010
Towards Learning to Rank in Description Logics30.402010
Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models10.372009
Metric-based stochastic conceptual clustering for ontologies150.632009
Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning30.442009
A Semantic Similarity Measure for Expressive Description Logics381.612009
ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification90.482009
Evolutionary Conceptual Clustering Based On Induced Pseudo-Metrics80.552008
A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases10.422008
Conceptual clustering and its application to concept drift and novelty detection220.962008
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