Feature extraction and reduced-order modelling of nitrogen plasma models using principal component analysis. - Aurélie Bellemans; Gianmarco Aversano; Axel Coussement; Alessandro Parente (Comput. Chem. Eng., 2018)

Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications. - Gianmarco Aversano; Aurélie Bellemans; Zhiyi Li; Axel Coussement; Olivier Gicquel; Alessandro Parente (Comput. Chem. Eng., 2019)

MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation. - Gianmarco Aversano; Mahmoud Jarraya; Maher Marwani; Ichraf Lahouli; Sabri Skhiri (SSD, 2021)

AMI-Class: Towards a Fully Automated Multi-view Image Classifier. - Mahmoud Jarraya; Maher Marwani; Gianmarco Aversano; Ichraf Lahouli; Sabri Skhiri (CAIP (2), 2021)

Advancing Reacting Flow Simulations with Data-Driven Models. - Kamila Zdybal; Giuseppe D'Alessio; Gianmarco Aversano; Mohammad Rafi Malik; Axel Coussement; James C. Sutherland; Alessandro Parente (CoRR, 2022)

SANGEA: Scalable and Attributed Network Generation. - Valentin Lemaire; Youssef Achenchabe; Lucas Ody; Houssem Eddine Souid; Gianmarco Aversano; Nicolas Posocco; Sabri Skhiri (ACML, 2023)

Temporal Graph Generative Models: An empirical study. - Houssem Eddine Souid; Lucas Ody; Youssef Achenchabe; Valentin Lemaire; Gianmarco Aversano; Sabri Skhiri (EuroMLSys@EuroSys, 2024)