Ghulam Rasool
Orcid: 0000-0001-8551-0090Affiliations:
- Rowan University, Glassboro, NJ, USA
- University of Arkansas at Little Rock, AR, USA (former)
- Center of Advanced Studies in Engineering Islamabad, Pakistan (former)
According to our database1,
Ghulam Rasool
authored at least 52 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.
Sensors, March, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework.
Trans. Mach. Learn. Res., 2024
Multimodal data integration for oncology in the era of deep neural networks: a review.
Frontiers Artif. Intell., 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review.
CoRR, 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation.
CoRR, 2024
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes.
CoRR, 2024
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology.
CoRR, 2024
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models.
CoRR, 2024
Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning.
IEEE Access, 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Circuits Syst. Signal Process., December, 2023
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond.
CoRR, 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review.
CoRR, 2023
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.
CoRR, 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.
IEEE Access, 2023
IEEE Access, 2023
Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.
IEEE Access, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the IEEE Symposium on Computers and Communications, 2023
A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023
2022
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks.
IEEE Signal Process. Mag., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
IEEE Trans. Signal Process., 2021
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Signal Process., 2019
Frontiers Comput. Neurosci., 2019
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2017
A three-dimensional bin-packing model: exact multicriteria solution and computational complexity.
Ann. Oper. Res., 2017
2016
Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Biomed. Signal Process. Control., 2014
2012
Myoelectric activity detection during a Sit-to-Stand movement using threshold methods.
Comput. Math. Appl., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Inference of genetic regulatory networks using regularized likelihood with covariance estimation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Inference of time-varying gene networks using constrained and smoothed Kalman filtering.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2010
Proceedings of the IEEE International Conference on Systems, 2010