Giuseppina Carannante

According to our database, Giuseppina Carannante authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework.

Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova

Trans. Mach. Learn. Res., 2024

2023

Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images.

Giuseppina Carannante, Nidhal C. Bouaynaya

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

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

Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022

Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning.

Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Trustworthy Medical Segmentation with Uncertainty Estimation.

Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh

CoRR, 2021

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks.

Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Robust Learning via Ensemble Density Propagation in Deep Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Self-Compression in Bayesian Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020