An end stage kidney disease predictor based on an artificial neural networks ensemble

Autor: Di Noia, Tommaso, Ostuni, Vito Claudio, Pesce, Francesco, Binetti, Giulio, Naso, David, Schena, Francesco Paolo, Di Sciascio, Eugenio

Publikováno v: In Expert Systems With Applications 1 September 2013 40(11):4438-4445

Top-N recommendations from implicit feedback leveraging linked open data

Autor: Ostuni, Vito Claudio, Vito, Claudio, Di Noia, T, Di Sciascio, E, Mirizzi, R

Publikováno v: RecSys
Scopus-Elsevier

The advent of the Linked Open Data (LOD) initiative gave birth to a variety of open knowledge bases freely accessible on the Web. They provide a valuable source of information that can improve conventional recommender systems, if properly exploited.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::302589f069597aa8f84d0725fdee1897
https://doi.org/10.1145/2507157.2507172

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Sound and Music Recommendation with Knowledge Graphs.

Autor: Oramas, Sergio, Ostuni, Vito Claudio, Noia, Tommaso Di, Serra, Xavier, Sciascio, Eugenio Di

Publikováno v: ACM Transactions on Intelligent Systems & Technology; Oct2016, Vol. 8 Issue 2, p1-21, 21p

A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel.

Autor: Ostuni, Vito Claudio, Di Noia, Tommaso, Mirizzi, Roberto, Di Sciascio, Eugenio

Publikováno v: E-Commerce & Web Technologies: 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings; 2014, p89-100, 12p