On Combining Edge Detection Methods for Improving BSIF Based Facial Recognition Performances. - Pierluigi Tuveri; Luca Ghiani; Mohanad Abukmeil; Gian Luca Marcialis (AMDO, 2016)

On Approximating the Non-negative Rank: Applications to Unsupervised Image Reduction. - Mohanad Abukmeil; Stefano Ferrari; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (CIVEMSA, 2020)

Unsupervised Learning From Limited Available Data by β-NMF and Dual Autoencoder. - Mohanad Abukmeil; Stefano Ferrari; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (ICIP, 2020)

Grad2VAE: An Explainable Variational Autoencoder Model Based on Online Attentions Preserving Curvatures of Representations. - Mohanad Abukmeil; Stefano Ferrari; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (ICIAP (1), 2022)

A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning. - Mohanad Abukmeil; Stefano Ferrari; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (ACM Comput. Surv., 2022)

Experimental results on palmvein-based personal recognition by multi-snapshot fusion of textural features. - Mohanad Abukmeil; Gian Luca Marcialis (Int. J. Biom., 2022)

Unsupervised Generative Models for Data Analysis and Explainable Artificial Intelligence. - Mohanad Abukmeil (2022)

Analysis and knowledge extraction of newborn resuscitation activities from annotation files. - Mohanad Abukmeil; Øyvind Meinich-Bache; Trygve Eftestøl; Siren Rettedal; Helge Myklebust; Thomas Bailey Tysland; Hege Ersdal; Estomih Mduma; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)