Prediction of class and property assertions on OWL ontologies through evidence combination. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (WIMS, 2011)

Assertion Prediction with Ontologies through Evidence Combination. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW (LNCS Vol.), 2013)

Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study. - Giuseppe Rizzo 001 (UMAP, 2013)

Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (EKAW, 2014)

Towards Evidence-Based Terminological Decision Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (IPMU (1), 2014)

Inductive Classification Through Evidence-Based Models and Their Ensembles. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC, 2015)

On the Effectiveness of Evidence-Based Terminological Decision Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi (ISMIS, 2015)

Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (DS, 2016)

Integrating New Refinement Operators in Terminological Decision Trees Learning. - Giuseppe Rizzo 001; Nicola Fanizzi; Jens Lehmann 001; Lorenz Bühmann (EKAW, 2016)

Induction of Terminological Cluster Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW@ISWC, 2016)

Terminological Cluster Trees for Disjointness Axiom Discovery. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC (1), 2017)

Tree-based models for inductive classification on the Web Of Data. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (J. Web Semant., 2017)

A Framework for Tackling Myopia in Concept Learning on the Web of Data. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (EKAW, 2018)

DLFoil: Class Expression Learning Revisited. - Nicola Fanizzi; Giuseppe Rizzo 001; Claudia d'Amato; Floriana Esposito (EKAW, 2018)

Approximate classification with web ontologies through evidential terminological trees and forests. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Int. J. Approx. Reason., 2018)

Boosting DL Concept Learners. - Nicola Fanizzi; Giuseppe Rizzo 001; Claudia d'Amato (ESWC, 2019)

Class expression induction as concept space exploration: From DL-Foil to DL-Focl. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato (Future Gener. Comput. Syst., 2020)

EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence. - Angelo Impedovo; Emanuele Pio Barracchia; Giuseppe Rizzo 001; Andrea Caprera; Elena Landrò (AIABI@AI*IA, 2021)

An unsupervised approach to disjointness learning based on terminological cluster trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi (Semantic Web, 2021)

Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study. - Angelo Impedovo; Emanuele Pio Barracchia; Giuseppe Rizzo 001 (iiWAS, 2022)

Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. - Angelo Impedovo; Emanuele Pio Barracchia; Giuseppe Rizzo 001 (LOD (1), 2022)

Towards Open-Set Contract Clause Recognition. - Angelo Impedovo; Giuseppe Rizzo 001; Antonio Di Mauro (IEEE Big Data, 2023)

Supplier qualification document recognition through open-set recognition. - Giuseppe Rizzo 001; Angelo Impedovo (DSAA, 2023)

On the Effectiveness of Non-negative Matrix Factorization for Text Open-Set Recognition. - Angelo Impedovo; Giuseppe Rizzo 001 (PKDD/ECML Workshops (3), 2023)

Open-Set Named Entity Recognition: A Preliminary Study. - Angelo Impedovo; Giuseppe Rizzo 001; Antonio Di Mauro (DS (1), 2024)