DLFoil: Class expression learning revisited N Fanizzi, G Rizzo, C d’Amato, F Esposito Knowledge Engineering and Knowledge Management: 21st International …, 2018 | 29 | 2018 |
Tree-based models for inductive classification on the web of data G Rizzo, C d’Amato, N Fanizzi, F Esposito Journal of Web Semantics 45, 1-22, 2017 | 26 | 2017 |
A framework for tackling myopia in concept learning on the web of data G Rizzo, N Fanizzi, C d’Amato, F Esposito Knowledge Engineering and Knowledge Management: 21st International …, 2018 | 19 | 2018 |
Terminological cluster trees for disjointness axiom discovery G Rizzo, C d’Amato, N Fanizzi, F Esposito The Semantic Web: 14th International Conference, ESWC 2017, Portorož …, 2017 | 18 | 2017 |
Approximate classification with web ontologies through evidential terminological trees and forests G Rizzo, N Fanizzi, C d'Amato, F Esposito International Journal of Approximate Reasoning 92, 340-362, 2018 | 15 | 2018 |
Assertion prediction with ontologies through evidence combination G Rizzo, C d’Amato, N Fanizzi, F Esposito International Workshop on Uncertainty Reasoning for the Semantic Web, 282-299, 2008 | 10 | 2008 |
Towards evidence-based terminological decision trees G Rizzo, C d’Amato, N Fanizzi, F Esposito Information Processing and Management of Uncertainty in Knowledge-Based …, 2014 | 9 | 2014 |
On the effectiveness of evidence-based terminological decision trees G Rizzo, C d’Amato, N Fanizzi Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015 …, 2015 | 7 | 2015 |
Inductive classification through evidence-based models and their ensembles G Rizzo, C d’Amato, N Fanizzi, F Esposito The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015 | 7 | 2015 |
Tackling the class-imbalance learning problem in semantic web knowledge bases G Rizzo, C d’Amato, N Fanizzi, F Esposito Knowledge Engineering and Knowledge Management: 19th International …, 2014 | 7 | 2014 |
Prediction of class and property assertions on OWL ontologies through evidence combination G Rizzo, N Fanizzi, C d'Amato, F Esposito Proceedings of the International Conference on Web Intelligence, Mining and …, 2011 | 7 | 2011 |
Integrating new refinement operators in terminological decision trees learning G Rizzo, N Fanizzi, J Lehmann, L Bühmann Knowledge Engineering and Knowledge Management: 20th International …, 2016 | 6 | 2016 |
Approximating numeric role fillers via predictive clustering trees for knowledge base enrichment in the web of data G Rizzo, C d’Amato, N Fanizzi, F Esposito Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 4 | 2016 |
Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study G Rizzo User Modeling, Adaptation, and Personalization: 21th International …, 2013 | 4 | 2013 |
EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence. A Impedovo, EP Barracchia, G Rizzo, A Caprera, E Landró AIABI@ AI* IA, 2021 | 3 | 2021 |
Intelligent robotic process automation for supplier document management on e-procurement platforms A Impedovo, EP Barracchia, G Rizzo International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 2 | 2022 |
Induction of Terminological Cluster Trees. G Rizzo, C d'Amato, N Fanizzi, F Esposito URSW@ ISWC, 49-60, 2016 | 2 | 2016 |
Towards Open-Set Contract Clause Recognition A Impedovo, G Rizzo, A Di Mauro 2023 IEEE International Conference on Big Data (BigData), 2767-2776, 2023 | | 2023 |
Supplier qualification document recognition through open-set recognition G Rizzo, A Impedovo 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study A Impedovo, EP Barracchia, G Rizzo International Conference on Information Integration and Web, 60-74, 2022 | | 2022 |