Sub-symbolic Mapping of Cyc Microtheories in Data-Driven "Conceptual" Spaces. - Giovanni Pilato; Agnese Augello; Mario Scriminaci; Giorgio Vassallo; Salvatore Gaglio (KES (1), 2007)

A Modular Framework for Versatile Conversational Agent Building. - Agnese Augello; Mario Scriminaci; Salvatore Gaglio; Giovanni Pilato (CISIS, 2011)

Algorithms Aside: Recommendation As The Lens Of Life. - Tamas Motajcsek; Jean-Yves Le Moine; Martha A. Larson; Daniel Kohlsdorf; Andreas Lommatzsch; Domonkos Tikk; Omar Alonso; Paolo Cremonesi; Andrew M. Demetriou; Kristaps Dobrajs; Franca Garzotto; Ayse Göker; et al. (RecSys, 2016)

Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. - Mario Scriminaci; Andreas Lommatzsch; Benjamin Kille; Frank Hopfgartner; Martha A. Larson; Davide Malagoli; András Serény; Till Plumbaum (RecSys Posters, 2016)

Outfit Completion and Clothes Recommendation. - Gabriele Prato 002; Federico Sallemi; Paolo Cremonesi; Mario Scriminaci; Stefan Gudmundsson; Silvio Palumbo (CHI Extended Abstracts, 2020)

ContentWise Impressions: An Industrial Dataset with Impressions Included. - Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Lorenzo Saule; Mario Scriminaci; Paolo Cremonesi (CIKM, 2020)

From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. - Cesare Bernardis; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Massimo Quadrana; Mario Scriminaci; Paolo Cremonesi (IEEE Access, 2022)

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data. - Paul Tiwald; Ivona Krchova; Andrey Sidorenko; Mariana Vargas Vieyra; Mario Scriminaci; Michael Platzer (CoRR, 2025)

Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework. - Andrey Sidorenko; Michael Platzer; Mario Scriminaci; Paul Tiwald (CoRR, 2025)

Democratizing Tabular Data Access with an Open-Source Synthetic-Data SDK. - Ivona Krchova; Mariana Vargas Vieyra; Mario Scriminaci; Andrey Sidorenko (CoRR, 2025)