default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGhulam 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
![[0000-0001-5408-0550]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5408-0550")
— COMSATS University Islamabad, Lahore Campus, Pakistan (and 1 more) - Ghulam Rasool 0003 — Zhejiang University, Department of Mathematics, Hangzhou, China
- Ghulam Rasool 0004 — National College of Business Administration & Economics, DHA Campus, Lahore, Pakistan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j17]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool:
Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. IEEE Access 12: 34054-34073 (2024)- [j16]Jacob R. Epifano, Timothy Duong, Ravi Prakash Ramachandran, Ghulam Rasool:
Efficient Scaling of Bayesian Neural Networks. IEEE Access 12: 150953-150961 (2024) - [j15]Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24(5): 1634 (2024) - [j14]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) - [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, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Mohammad Abdullah-Al-Wadud, Muhammad Abbas:
Vision Transformer and Language Model Based Radiology Report Generation. IEEE Access 11: 1814-1824 (2023) - [j11]Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool:
Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. IEEE Access 11: 81656-81671 (2023) - [j10]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. IEEE Access 11: 82556-82569 (2023) - [j9]Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool:
Transformers in Time-Series Analysis: A Tutorial. Circuits Syst. Signal Process. 42(12): 7433-7466 (2023) - [j8]Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool:
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, Ghulam Rasool:
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, Erik Grundeland, Joseph Snedeker, Ravi Prakash Ramachandran, Ghulam Rasool:
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, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool:
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, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
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, 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) - [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, Nidhal Carla Bouaynaya, Ghulam Rasool:
Adversarially Robust Continual Learning. IJCNN 2022: 1-8 - [i8]Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran:
Transformers in Time-series Analysis: A Tutorial. CoRR abs/2205.01138 (2022) - 2021
- [j6]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) - [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, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
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, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Inception Modules Enhance Brain Tumor Segmentation. Frontiers Comput. Neurosci. 13: 44 (2019) - [j4]Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg:
Constrained particle filtering for movement identification in forearm prosthesis. Signal Process. 161: 25-35 (2019) - [c9]Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya:
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, Allison B. Wang, William Zev Rymer, Sabrina S. M. Lee:
Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data. EMBC 2016: 2869-2872 - [c7]Babak Afsharipour, Milap S. Sandhu, Ghulam Rasool, Nina L. Suresh, William Zev Rymer:
Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury. EMBC 2016: 3757-3760 - 2015
- [c6]Ghulam Rasool, Babak Afsharipour, Nina L. Suresh, Xiaogang Hu, William Zev Rymer:
Spatial analysis of muscular activations in stroke survivors. EMBC 2015: 6058-6061 - 2014
- [j2]Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White:
Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. 13: 327-336 (2014) - 2012
- [j1]Ghulam Rasool, Kamran Iqbal, Gannon A. White:
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, Nidhal Bouaynaya:
Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS 2012: 172-175 - [c3]Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal:
Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP 2012: 420-423 - [c2]Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld:
Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP 2012: 560-563 - 2010
- [c1]Ghulam Rasool, Asif Mahmood Mughal, Kamran Iqbal:
Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies. SMC 2010: 316-321
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
