Self-Compression in Bayesian Neural Networks. - Giuseppina Carannante; Dimah Dera; Ghulam Rasool 001; Nidhal C. Bouaynaya (MLSP, 2020)

Robust Learning via Ensemble Density Propagation in Deep Neural Networks. - Giuseppina Carannante; Dimah Dera; Ghulam Rasool 001; Nidhal C. Bouaynaya; Lyudmila Mihaylova (MLSP, 2020)

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. - Giuseppina Carannante; Nidhal C. Bouaynaya; Lyudmila Mihaylova (FUSION, 2021)

Trustworthy Medical Segmentation with Uncertainty Estimation. - Giuseppina Carannante; Dimah Dera; Nidhal C. Bouaynaya; Ghulam Rasool 001; Hassan M. Fathallah-Shaykh (CoRR, 2021)

Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. - Giuseppina Carannante; Dimah Dera; Orune Aminul; Nidhal C. Bouaynaya; Ghulam Rasool 001 (FUSION, 2022)

A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery. - Amine Khelifi; Mahmut Gemici; Giuseppina Carannante; Charles Cliff Johnson; Nidhal C. Bouaynaya (ISCC, 2023)

Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images. - Giuseppina Carannante; Nidhal C. Bouaynaya (MLSP, 2023)

BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. - Giuseppina Carannante; Nidhal Bouaynaya; Ghulam Rasool 001; Lyudmila Mihaylova (Trans. Mach. Learn. Res., 2024)