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2020 – today
- 2024
[j3]Dimah Dera
, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool:
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. IEEE Trans. Knowl. Data Eng. 36(2): 882-896 (2024)- [c10]Deepak Kandel, Dimah Dera:
Adaptive Robust Continual Learning based on Bayesian Uncertainty Propagation. FUSION 2024: 1-8 - [c9]Kevin Zhou, Dimah Dera:
Robust Denoising and DenseNet Classification Framework for Plant Disease Detection. VISIGRAPP (3): VISAPP 2024: 166-174 - 2022
- [j2]Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya:
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. IEEE Signal Process. Mag. 39(4): 73-84 (2022) - [c8]Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool:
Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION 2022: 1-8 - 2021
- [j1]Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh:
PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. IEEE Trans. Signal Process. 69: 4669-4684 (2021) - [i4]Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran:
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. CoRR abs/2107.11400 (2021) - [i3]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. CoRR abs/2111.05950 (2021) - [i2]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR abs/2111.05953 (2021) - [i1]Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh:
Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR abs/2111.05978 (2021) - 2020
- [c7]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. MLSP 2020: 1-6 - [c6]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP 2020: 1-6
2010 – 2019
- 2019
- [c5]Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya:
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP 2019: 1-6 - 2018
- [c4]Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Inverted Cone Convolutional Neural Network For Deboning MRIs. IJCNN 2018: 1-6 - 2016
- [c3]Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh:
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN 2016: 3068-3075 - [c2]Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. BrainLes@MICCAI 2016: 195-205 - 2015
- [c1]Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Level set segmentation using non-negative matrix factorization of brain MRI images. BIBM 2015: 382-387
Coauthor Index
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