Giuseppina Carannante

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Bayesian Decision

Top Venues

Publications

Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. 2024 (2024)
Giuseppina Carannante, Nidhal C. Bouaynaya
Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images. MLSP (2023)
Amine Khelifi, Mahmut Gemici, Giuseppina Carannante, Charles Cliff Johnson, Nidhal C. Bouaynaya
A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery. ISCC (2023)
Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool
Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION (2022)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. CoRR (2021)
Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova
An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION (2021)
Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh
Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP (2020)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. MLSP (2020)