Ghulam Rasool

According to our database, Ghulam Rasool authored at least 43 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.

Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool

Sensors, March, 2024

TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs.

Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Trans. Knowl. Data Eng., February, 2024

Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Access, 2024

2023

Transformers in Time-Series Analysis: A Tutorial.

Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool

Circuits Syst. Signal Process., December, 2023

Revisiting the fragility of influence functions.

Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool

Neural Networks, May, 2023

Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond.

Jacob R. Epifano, Stephen Glass, Ravi Prakash Ramachandran, Sharad Patel, Aaron J. Masino, Ghulam Rasool

CoRR, 2023

Deep Ensemble for Rotorcraft Attitude Prediction.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson

CoRR, 2023

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review.

Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool

CoRR, 2023

Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.

Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool

CoRR, 2023

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.

Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool

IEEE Access, 2023

Vision Transformer and Language Model Based Radiology Report Generation.

Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Mohammad Abdullah-Al-Wadud, Muhammad Abbas

IEEE Access, 2023

Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.

Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Access, 2023

Targeted Background Removal Creates Interpretable Feature Visualizations.

Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ravi Prakash Ramachandran, Ghulam Rasool

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

The Importance of Robust Features in Mitigating Catastrophic Forgetting.

Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the IEEE Symposium on Computers and Communications, 2023

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU.

Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Variational Density Propagation Continual Learning.

Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool

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.

Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya

IEEE Signal Process. Mag., 2022

Adversarially Robust Continual Learning.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool

Proceedings of the International Joint Conference on Neural Networks, 2022

Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning.

Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks.

Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh

IEEE Trans. Signal Process., 2021

Trustworthy Medical Segmentation with Uncertainty Estimation.

Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh

CoRR, 2021

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

CoRR, 2021

Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification.

Yassine Barhoumi, Ghulam Rasool

CoRR, 2021

Exploring Robustness of Neural Networks through Graph Measures.

Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya

CoRR, 2021

The Case Against Sentiment Analysis for Natural Text.

Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Towards an Explainable Mortality Prediction Model.

Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Robust Learning via Ensemble Density Propagation in Deep Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Self-Compression in Bayesian Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Using Deep Speech Recognition to Evaluate Speech Enhancement Methods.

Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Constrained particle filtering for movement identification in forearm prosthesis.

Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg

Signal Process., 2019

Inception Modules Enhance Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Frontiers Comput. Neurosci., 2019

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks.

Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya

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.

Gregory S. Taylor, Yupo Chan, Ghulam Rasool

Ann. Oper. Res., 2017

2016

Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data.

Ghulam Rasool, Allison B. Wang, William Zev Rymer, Sabrina S. M. Lee

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.

Babak Afsharipour, Milap S. Sandhu, Ghulam Rasool, Nina L. Suresh, William Zev Rymer

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Spatial analysis of muscular activations in stroke survivors.

Ghulam Rasool, Babak Afsharipour, Nina L. Suresh, Xiaogang Hu, William Zev Rymer

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Surface myoelectric signal classification using the AR-GARCH model.

Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White

Biomed. Signal Process. Control., 2014

2012

Myoelectric activity detection during a Sit-to-Stand movement using threshold methods.

Ghulam Rasool, Kamran Iqbal, Gannon A. White

Comput. Math. Appl., 2012

Muscle activity detection from myoelectric signals based on the AR-GARCH model.

Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Inference of genetic regulatory networks using regularized likelihood with covariance estimation.

Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Inference of time-varying gene networks using constrained and smoothed Kalman filtering.

Ghulam Rasool, Nidhal Bouaynaya

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Muscle activity onset detection using energy detectors.

Ghulam Rasool, Kamran Iqbal

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies.

Ghulam Rasool, Asif Mahmood Mughal, Kamran Iqbal

Proceedings of the IEEE International Conference on Systems, 2010