Claudia d’Amato

发表

Mining the Semantic Web Statistical Learning for Next Generation Knowledge Bases

Volker Tresp, Achim Rettinger, Uta Lösch, 2012 .

10 th International Workshop on Uncertainty Reasoning for the Semantic Web ( URSW 2014 )

Kathryn B. Laskey, Rommel N. Carvalho, Thomas Lukasiewicz, 2014 .

Conceptual clustering applied to ontologies: a distance-based evolutionary approach

F. Esposito, Claudia d’Amato, N. Fanizzi, 2007 .

Approximate Query Answering exploiting a Dissimilarity Measure based on Local Models

F. Esposito, Claudia d’Amato, N. Fanizzi, 2007 .

Proceedings of the Second International Workshop on Linked Data for Information Extraction (LD4IE 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 20, 2014

Ziqi Zhang, Heiko Paulheim, Anna Lisa Gentile, 2014, LD4IE@ISWC.

Terminological Tree-based Models for Inductive Classification in Description Logics

Giuseppe Rizzo, Claudia d’Amato, N. Fanizzi, 2015 .

Unsupervised Conflict-Free Ontology Evolution Without Removing Axioms

A. Bernstein, R. Grütter, Claudia d’Amato, 2010 .

Report from Dagstuhl Seminar 12221 Cognitive Approaches for the Semantic Web

Alan Bundy, Christoph Schlieder, Sebastian Rudolph, 2012 .

Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data

Siegfried Handschuh, Axel Polleres, Marcelo Arenas, 2011 .

The 2 nd International Workshop on Inductive Reasoning and Machine Learning for the Semantic Web Proceedings

V. Svátek, M. Grobelnik, Claudia d’Amato, 2010 .

Fuzzy Clustering for Categorical Spaces An Application to Semantic Knowledge Bases

F. Esposito, Claudia d’Amato, N. Fanizzi, 2009 .

URSW 2014 - proceedings of the 10th International Workshop on Uncertainty reasoning for the Semantic Web

Trevor P Martin, Thomas Lukasiewicz, Paul T. Groth, 2014 .

Sphingosine Kinase 1 Overexpression Contributes to Cetuximab Resistance in Human Colorectal Cancer Models

Claudia d’Amato, R. Bianco, G. Troncone, 2012, Clinical Cancer Research.

Antibodies directed against endogenous and exogenous citrullinated antigens pre-date the onset of rheumatoid arthritis

S. Rantapää-Dahlqvist, L. Ärlestig, Claudia d’Amato, 2016, Arthritis Research & Therapy.

Microfluidics-free single-cell genomics with templated emulsification

Corey E. Hayford, Jesse Q. Zhang, Z. Gartner, 2022, bioRxiv.

Anti -citrullinated peptide antibodies profiling in established rheumatoid arthritis.

Claudia d’Amato, P. Migliorini, R. Gerli, 2017, Joint, bone, spine : revue du rhumatisme.

Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008

Trevor P Martin, Thomas Lukasiewicz, Kathryn B. Laskey, 2008, URSW.

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

Thomas Lukasiewicz, Kathryn B. Laskey, Nicola Fanizzi, 2008, URSW.

Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009

Trevor P Martin, Thomas Lukasiewicz, Kathryn B. Laskey, 2009, URSW.

Microfluidics-free single-cell genomics with templated emulsification

Corey E. Hayford, Zev J. Gartner, Jesse Q. Zhang, 2022, bioRxiv.

Proceedings of the First International Workshop on Linked Data forInformation Extraction (LD4IE 2013) co-located with the 12th InternationalSemantic Web Conference (ISWC 2013), Sydney, Australia, October21, 2013

Ziqi Zhang, Heiko Paulheim, Anna Lisa Gentile, 2013 .

Proceedings of the First International Workshop on Linked Data for Information Extraction (LD4IE 2013) co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013

Ziqi Zhang, Heiko Paulheim, Anna Lisa Gentile, 2013, LD4IE@ISWC.

Evaluation of remotely-sensed evapotranspiration datasets at different spatial and temporal scales at forest and grassland sites in Italy

R. Rigon, Claudia d’Amato, C. Massari, 2022, 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).

New Results - Analyzing and Reasoning on Heterogeneous Semantic Graphs

Catherine Faron-Zucker, Fabien L. Gandon, Elena Cabrio, 2015 .

Proceeding of the 3rd ESWC International Workshop on Inductive Reasoning and Machine Learning on the Semantic Web (IRMLes 2011)

Blaz Fortuna, Nicola Fanizzi, Vojtech Svátek, 2011 .

Knowledge Graphs

Steffen Staab, Sebastian Neumaier, Eva Blomqvist, 2020, ACM Computing Surveys.

Machine Learning for the Semantic Web: Lessons learnt and next research directions

Claudia d’Amato, Claudia d’Amato, 2020, Semantic Web.

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

Nicola Fanizzi, Claudia d'Amato, Pasquale Minervini, 2016, Journal of Intelligent Information Systems.

Induction of robust classifiers for web ontologies through kernel machines

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2012, J. Web Semant..

Mining the Semantic Web

Achim Rettinger, Nicola Fanizzi, Claudia d'Amato, 2012, Data Mining and Knowledge Discovery.

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019 pdf

Michel Dumontier, John Domingue, Heiko Paulheim, 2020, ArXiv.

Ontology-based semantic search on the Web and its combination with the power of inductive reasoning

Georg Gottlob, Thomas Lukasiewicz, Nicola Fanizzi, 2012, Annals of Mathematics and Artificial Intelligence.

Nicola Fanizzi, Claudia d'Amato, Volker Tresp, 2016, Journal on Data Semantics.

Graph-Based Regularization for Transductive Class-Membership Prediction

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2013, URSW.

A Graph Regularization Based Approach to Transductive Class-Membership Prediction

Nicola Fanizzi, Claudia d'Amato, Pasquale Minervini, 2012, URSW.

Learning to Propagate Knowledge in Web Ontologies

Nicola Fanizzi, Claudia d'Amato, Volker Tresp, 2014, URSW.

Adaptive Knowledge Propagation in Web Ontologies

Nicola Fanizzi, Claudia d'Amato, Volker Tresp, 2017, ACM Trans. Web.

HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists

R. Rigon, O. David, Claudia d’Amato, 2022, Hydrology and Earth System Sciences.

Fuzzy Clustering for Semantic Knowledge Bases

Nicola Fanizzi, Floriana Esposito, Claudia d'Amato, 2010, Fundam. Informaticae.

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

Thomas Lukasiewicz, Nicola Fanizzi, Floriana Esposito, 2008, URSW.

Conceptual Clustering and Its Application to Concept Drift and Novelty Detection

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, ESWC.

Approximate Measures of Semantic Dissimilarity under Uncertainty

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, URSW.

Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, CIKM '07.

Evolutionary Conceptual Clustering of Semantically Annotated Resources

Nicola Fanizzi, Floriana Esposito, Claudia d'Amato, 2007, International Conference on Semantic Computing (ICSC 2007).

A Hierarchical Clustering Procedure for Semantically Annotated Resources

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, AI*IA.

Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, ILP.

Conceptual Clustering: Concept Formation, Drift and Novelty Detection

Nicola Fanizzi, Floriana Esposito, Claudia d’Amato, 2007 .

Induction of Optimal Semi-distances for Individuals based on Feature Sets

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, Description Logics.

Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web

Claudia d'Amato, Binh Thanh Nguyen, Andrea Tettamanzi, 2018, EuroGP.

DL-FOIL Concept Learning in Description Logics

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, ILP.

A Note on the Evaluation of Inductive Concept Classification Procedures

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, SWAP.

Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases

Steffen Staab, Fabien L. Gandon, Claudia d'Amato, 2016, SAC.

Semantic Web Search and Inductive Reasoning

Georg Gottlob, Thomas Lukasiewicz, Nicola Fanizzi, 2013, URSW.

Inductive reasoning and semantic web search

Georg Gottlob, Thomas Lukasiewicz, Nicola Fanizzi, 2010, SAC '10.

Metric-based stochastic conceptual clustering for ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2009, Inf. Syst..

Combining Semantic Web Search with the Power of Inductive Reasoning

Georg Gottlob, Thomas Lukasiewicz, Nicola Fanizzi, 2009, URSW.

Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2009, Knowledge Discovery Enhanced with Semantic and Social Information.

Statistical Learning for Inductive Query Answering on OWL Ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, SEMWEB.

Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with Ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, Int. J. Semantic Comput..

Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, DEXA.

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

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, 2008 IEEE International Conference on Semantic Computing.

Query Answering and Ontology Population: An Inductive Approach

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, ESWC.

A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, ISMIS.

Conceptual Clustering Applied to Ontologies

Nicola Fanizzi, Floriana Esposito, Claudia d'Amato, 2007, MCD.

Semantic Nearest Neighbor Search in OWL Ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2007, SWAP.

The Semantic Web – ISWC 2020: 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part I

Jeff Z. Pan, Krzysztof Janowicz, Axel Polleres, 2020, SEMWEB.

Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases

Steffen Staab, Nicola Fanizzi, Claudia d'Amato, 2010, Int. J. Semantic Comput..

Linked Open Data Validity - A Technical Report from ISWS 2018 pdf

Mathias Bonduel, Aldo Gangemi, Sebastian Rudolph, 2019, ArXiv.

Ontology-based semantic search on the Web and its combination with the power of inductive reasoning

Thomas Lukasiewicz, G. Gottlob, Claudia d’Amato, 2012, Annals of Mathematics and Artificial Intelligence.

Inductive Classification Through Evidence-Based Models and Their Ensembles

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2015, ESWC.

Approximate classification with web ontologies through evidential terminological trees and forests

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2018, Int. J. Approx. Reason..

The Data Mining OPtimization Ontology

C. Maria Keet, Claudia d'Amato, Melanie Hilario, 2015, J. Web Semant..

International Workshop on Semantic and Social Media Adaptation and Personalization

Panagiotis Germanakos, Matt-Mouley Bouamrane, Maria Claudia Buzzi, 2014 .

Classification of symbolic objects: A lazy learning approach

Donato Malerba, Annalisa Appice, Claudia d'Amato, 2006, Intell. Data Anal..

Mining the Semantic Web

Volker Tresp, Achim Rettinger, Uta Lösch, 2012, Data Mining and Knowledge Discovery.

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

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2010, Semantic Web.

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2009, Int. J. Semantic Web Inf. Syst..

Tractable Reasoning with Bayesian Description Logics

Thomas Lukasiewicz, Nicola Fanizzi, Claudia d'Amato, 2008, SUM.

11 th International Workshop on Uncertainty Reasoning for the Semantic Web ( URSW 2015 )

Kathryn B. Laskey, Rommel N. Carvalho, Thomas Lukasiewicz, 2015 .

Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification

Corey E. Hayford, A. Olshen, A. Logan, 2023, bioRxiv.

Modeling Issues, Choices in the Data Mining OPtimization Ontology

C. Maria Keet, Claudia d'Amato, Melanie Hilario, 2013, OWLED.

Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays

Nicola Di Mauro, Claudia d’Amato, S. Ferilli, 2022, AI³@AI*IA.

Transductive Inference for Class-Membership Propagation in Web Ontologies

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2013, ESWC.

Composite ontology matching with uncertain mappings recovery

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2011, SIAP.

Recovering uncertain mappings through structural validation and aggregation with the MoTo system

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2010, SAC '10.

Analogical Reasoning in Description Logics

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2008, URSW.

On the Influence of Description Logics Ontologies on Conceptual Similarity

Steffen Staab, Nicola Fanizzi, Claudia d'Amato, 2008, EKAW.

DLFoil: Class Expression Learning Revisited

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2018, EKAW.

Towards Interpretable Probabilistic Classification Models for Knowledge Graphs

Claudia d’Amato, N. Fanizzi, 2022, International Conference on Signal-Image Technology and Internet-Based Systems.

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

Nicola Fanizzi, Nicola Flavio Quatraro, Claudia d’Amato, 2021, ESWC.

Empowering Knowledge Bases: a Machine Learning Perspective

Claudia d’Amato, Claudia d’Amato, 2021, Description Logics.

Mining the Semantic Web with Machine Learning: Main Issues that Need to Be Known

Claudia d’Amato, 2021, Reasoning Web.

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

Nicola Fanizzi, Claudia d'Amato, Giuseppe Rizzo, 2020, Future Gener. Comput. Syst..

Terminological Cluster Trees for Disjointness Axiom Discovery

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2017, ESWC.

Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases

Claudia d'Amato, Andrea Tettamanzi, Duc Minh Tran, 2016, EKAW.

The Semantic Web: Trends and Challenges

Fabien L. Gandon, Fabien Gandon, Valentina Presutti, 2014, Lecture Notes in Computer Science.

Boosting DL Concept Learners

Nicola Fanizzi, Claudia d'Amato, Giuseppe Rizzo, 2019, ESWC.

An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs

Claudia d’Amato, N. Fanizzi, Pierpaolo Masella, 2021, WI/IAT.

A Framework for Tackling Myopia in Concept Learning on the Web of Data

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2018, EKAW.

Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

Martin Theobald, Claudia d’Amato, M. Theobald, 2018, Lecture Notes in Computer Science.

The Semantic Web – ISWC 2017

Jeff Heflin, Freddy Lecue, Valentina Tamma, 2017, Lecture Notes in Computer Science.

HESS Opinions: Participatory Digital Earth Twin Hydrology systems (DARTHs) for everyone: a blueprint for hydrologists

R. Rigon, O. David, Claudia d’Amato, 2022, Hydrology and Earth System Sciences.

A low power and real-time hardware recurrent neural network for time series analysis on wearable devices

Claudia d’Amato, E. Torti, G. Danese, 2021, Microprocess. Microsystems.

An Hardware Recurrent Neural Network for Wearable Devices

Giovanni Danese, Francesco Leporati, Emanuele Torti, 2020, 2020 23rd Euromicro Conference on Digital System Design (DSD).

Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, 2013, URSW.