Dimah Dera

According to our database, Dimah Dera authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs.

Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Trans. Knowl. Data Eng., February, 2024

Robust Denoising and DenseNet Classification Framework for Plant Disease Detection.

Kevin Zhou, Dimah Dera

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Adaptive Robust Continual Learning based on Bayesian Uncertainty Propagation.

Deepak Kandel, Dimah Dera

Proceedings of the 27th International Conference on Information Fusion, 2024

2022

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks.

Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya

IEEE Signal Process. Mag., 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

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks.

Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh

IEEE Trans. Signal Process., 2021

Trustworthy Medical Segmentation with Uncertainty Estimation.

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

CoRR, 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

2019

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks.

Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

Inverted Cone Convolutional Neural Network For Deboning MRIs.

Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge.

Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation.

Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Level set segmentation using non-negative matrix factorization of brain MRI images.

Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015