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Ghulam Rasool 0001
Person information
- affiliation: Rowan University, Glassboro, NJ, USA
- affiliation (former): University of Arkansas at Little Rock, AR, USA
- affiliation (former): Center of Advanced Studies in Engineering Islamabad, Pakistan
Other persons with the same name
- Ghulam Rasool — disambiguation page
- Ghulam Rasool 0002
— COMSATS University Islamabad, Lahore Campus, Pakistan (and 1 more)
- Ghulam Rasool 0003
- Ghulam Rasool 0004
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2020 – today
- 2024
- [j17]Hikmat Khan
Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. IEEE Access 12: 34054-34073 (2024) - [j16]Jacob R. Epifano
Efficient Scaling of Bayesian Neural Networks. IEEE Access 12: 150953-150961 (2024) - [j15]Aakash Tripathi
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24(5): 1634 (2024) - [j14]Dimah Dera
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. IEEE Trans. Knowl. Data Eng. 36(2): 882-896 (2024) - [j13]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) - [c21]Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya:
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. IJCNN 2024: 1-8 - [i25]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool:
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. CoRR abs/2404.14588 (2024) - [i24]Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool:
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR abs/2405.07460 (2024) - [i23]Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool:
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. CoRR abs/2405.08226 (2024) - [i22]Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya:
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. CoRR abs/2405.11829 (2024) - [i21]Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool:
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR abs/2406.08521 (2024) - [i20]Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool:
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. CoRR abs/2406.12815 (2024) - [i19]Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool:
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. CoRR abs/2409.16340 (2024) - 2023
- [j12]Mashood Mohammad Mohsan
Vision Transformer and Language Model Based Radiology Report Generation. IEEE Access 11: 1814-1824 (2023) - [j11]Yassine Barhoumi
Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. IEEE Access 11: 81656-81671 (2023) - [j10]Ian E. Nielsen
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. IEEE Access 11: 82556-82569 (2023) - [j9]Sabeen Ahmed, Ian E. Nielsen
Transformers in Time-Series Analysis: A Tutorial. Circuits Syst. Signal Process. 42(12): 7433-7466 (2023) - [j8]Jacob R. Epifano
Revisiting the fragility of influence functions. Neural Networks 162: 581-588 (2023) - [c20]Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool:
Variational Density Propagation Continual Learning. ISPA 2023: 1-6 - [c19]Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi
A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU. ISCAS 2023: 1-5 - [c18]Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool:
The Importance of Robust Features in Mitigating Catastrophic Forgetting. ISCC 2023: 752-757 - [c17]Ian E. Nielsen
Targeted Background Removal Creates Interpretable Feature Visualizations. MWSCAS 2023: 1050-1054 - [i18]Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. CoRR abs/2302.00220 (2023) - [i17]Asim Waqas
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. CoRR abs/2303.06471 (2023) - [i16]Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool:
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. CoRR abs/2303.08866 (2023) - [i15]Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool:
Revisiting the Fragility of Influence Functions. CoRR abs/2303.12922 (2023) - [i14]Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ghulam Rasool, Ravi Prakash Ramachandran:
Targeted Background Removal Creates Interpretable Feature Visualizations. CoRR abs/2306.13178 (2023) - [i13]Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool:
The Importance of Robust Features in Mitigating Catastrophic Forgetting. CoRR abs/2306.17091 (2023) - [i12]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson:
Deep Ensemble for Rotorcraft Attitude Prediction. CoRR abs/2306.17104 (2023) - [i11]Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool:
Variational Density Propagation Continual Learning. CoRR abs/2308.11801 (2023) - [i10]Aakash Tripathi, Asim Waqas
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR abs/2310.01438 (2023) - [i9]Jacob R. Epifano, Stephen Glass, Ravi Prakash Ramachandran, Sharad Patel, Aaron J. Masino, Ghulam Rasool:
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond. CoRR abs/2311.17133 (2023) - 2022
- [j7]Ian E. Nielsen
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. IEEE Signal Process. Mag. 39(4): 73-84 (2022) - [c16]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 - [c15]Hikmat Khan
Adversarially Robust Continual Learning. IJCNN 2022: 1-8 - [i8]Sabeen Ahmed
Transformers in Time-series Analysis: A Tutorial. CoRR abs/2205.01138 (2022) - 2021
- [j6]Dimah Dera
PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. IEEE Trans. Signal Process. 69: 4669-4684 (2021) - [c14]Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran:
The Case Against Sentiment Analysis for Natural Text. IJCNN 2021: 1-8 - [i7]Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya:
Exploring Robustness of Neural Networks through Graph Measures. CoRR abs/2106.15850 (2021) - [i6]Yassine Barhoumi, Ghulam Rasool:
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification. CoRR abs/2107.04575 (2021) - [i5]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) - [i4]Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. CoRR abs/2108.06772 (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
- [c13]Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya:
Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. IJCNN 2020: 1-7 - [c12]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. MLSP 2020: 1-6 - [c11]Giuseppina Carannante, Dimah Dera, Ghulam Rasool
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP 2020: 1-6 - [c10]Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool:
Towards an Explainable Mortality Prediction Model. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j5]Daniel E. Cahall, Ghulam Rasool
Inception Modules Enhance Brain Tumor Segmentation. Frontiers Comput. Neurosci. 13: 44 (2019) - [j4]Nesrine Amor
Constrained particle filtering for movement identification in forearm prosthesis. Signal Process. 161: 25-35 (2019) - [c9]Dimah Dera
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP 2019: 1-6 - 2017
- [j3]Gregory S. Taylor, Yupo Chan, Ghulam Rasool
A three-dimensional bin-packing model: exact multicriteria solution and computational complexity. Ann. Oper. Res. 251(1-2): 397-427 (2017) - 2016
- [c8]Ghulam Rasool
Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data. EMBC 2016: 2869-2872 - [c7]Babak Afsharipour, Milap S. Sandhu
Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury. EMBC 2016: 3757-3760 - 2015
- [c6]Ghulam Rasool
Spatial analysis of muscular activations in stroke survivors. EMBC 2015: 6058-6061 - 2014
- [j2]Ghulam Rasool
Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. 13: 327-336 (2014) - 2012
- [j1]Ghulam Rasool
Myoelectric activity detection during a Sit-to-Stand movement using threshold methods. Comput. Math. Appl. 64(5): 1473-1483 (2012) - [c5]Ghulam Rasool, Kamran Iqbal:
Muscle activity onset detection using energy detectors. EMBC 2012: 3094-3097 - [c4]Ghulam Rasool
Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS 2012: 172-175 - [c3]Ghulam Rasool
Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP 2012: 420-423 - [c2]Ghulam Rasool
Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP 2012: 560-563 - 2010
- [c1]Ghulam Rasool
Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies. SMC 2010: 316-321
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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