Ghulam Rasool

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 52

Top Topics

Incremental Learning

Importance Sampling

Top Venues

Publications

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 (2024)
Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. CoRR (2024)
Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR (2024)
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) (2024)
Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. IEEE Access 12 (2024)
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)
Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24 (5) (2024)
Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. CoRR (2024)
Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. CoRR (2024)
Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR (2024)
Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
The Importance of Robust Features in Mitigating Catastrophic Forgetting. ISCC (2023)
Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ravi Prakash Ramachandran, Ghulam Rasool
Targeted Background Removal Creates Interpretable Feature Visualizations. MWSCAS (2023)
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 (2023)
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)
Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR (2023)
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 (2023)
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 (2023)
Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
Revisiting the Fragility of Influence Functions. CoRR (2023)
Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson
Deep Ensemble for Rotorcraft Attitude Prediction. CoRR (2023)
Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool
Variational Density Propagation Continual Learning. CoRR (2023)
Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool
Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. IEEE Access 11 (2023)
Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
Revisiting the fragility of influence functions. Neural Networks 162 (2023)
Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool
Variational Density Propagation Continual Learning. ISPA (2023)
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 (2023)
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) (2023)
Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. CoRR (2023)
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 (2023)
Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
The Importance of Robust Features in Mitigating Catastrophic Forgetting. CoRR (2023)
Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ghulam Rasool, Ravi Prakash Ramachandran
Targeted Background Removal Creates Interpretable Feature Visualizations. CoRR (2023)
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) (2022)
Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool
Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION (2022)
Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran
Transformers in Time-series Analysis: A Tutorial. CoRR (2022)
Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
Adversarially Robust Continual Learning. IJCNN (2022)
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 (2021)
Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. CoRR (2021)
Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran
The Case Against Sentiment Analysis for Natural Text. IJCNN (2021)
Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh
Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR (2021)
Yassine Barhoumi, Ghulam Rasool
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification. CoRR (2021)
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 (2021)
Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya
Exploring Robustness of Neural Networks through Graph Measures. CoRR (2021)
Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya
Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. IJCNN (2020)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP (2020)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
Self-Compression in Bayesian Neural Networks. MLSP (2020)
Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool
Towards an Explainable Mortality Prediction Model. MLSP (2020)
Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
Inception Modules Enhance Brain Tumor Segmentation. Frontiers Comput. Neurosci. 13 (2019)
Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP (2019)
Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg
Constrained particle filtering for movement identification in forearm prosthesis. Signal Process. 161 (2019)
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) (2017)
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)
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)
Ghulam Rasool, Babak Afsharipour, Nina L. Suresh, Xiaogang Hu, William Zev Rymer
Spatial analysis of muscular activations in stroke survivors. EMBC (2015)
Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White
Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. 13 (2014)
Ghulam Rasool, Nidhal Bouaynaya
Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS (2012)
Ghulam Rasool, Kamran Iqbal, Gannon A. White
Myoelectric activity detection during a Sit-to-Stand movement using threshold methods. Comput. Math. Appl. 64 (5) (2012)
Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld
Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP (2012)
Ghulam Rasool, Kamran Iqbal
Muscle activity onset detection using energy detectors. EMBC (2012)
Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal
Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP (2012)
Ghulam Rasool, Asif Mahmood Mughal, Kamran Iqbal
Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies. SMC (2010)