activity
20142026
most citedAutomatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

98 citations · 240 across the 23 of their papers we have counts for

collaborators

23 papers

cs.CV2026

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification

Md Faraz Kabir Khan, Saeed Anwar, Ghulam Mubashar Hassan

The rapid advancement of generative AI has outpaced our ability to reliably detect its outputs, particularly when detectors encounter generators they have not seen before. We intro…

cs.CV2026

RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval

Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan +1

3D assets have rapidly expanded in quantity and diversity due to the growing popularity of virtual reality and gaming. As a result, text-to-shape retrieval has become essential in…

cs.CV2025

Retrieving Objects from 3D Scenes with Box-Guided Open-Vocabulary Instance Segmentation

Khanh Nguyen, Dasith de Silva Edirimuni, Ghulam Mubashar Hassan +1

Locating and retrieving objects from scene-level point clouds is a challenging problem with broad applications in robotics and augmented reality. This task is commonly formulated a…

cs.CV2025

DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights

Danish Ali, Ajmal Mian, Naveed Akhtar +1

Accurate brain tumor segmentation is significant for clinical diagnosis and treatment but remains challenging due to tumor heterogeneity. Mamba-based State Space Models have demons…

cs.CV2025

Deeper Diffusion Models Amplify Bias

Shahin Hakemi, Naveed Akhtar, Ghulam Mubashar Hassan +1

Despite the remarkable performance of generative Diffusion Models (DMs), their internal working is still not well understood, which is potentially problematic. This paper focuses o…

cs.CV2025

Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition

Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian

Recent open-world representation learning approaches have leveraged CLIP to enable zero-shot 3D object recognition. However, performance on real point clouds with occlusions still…

cs.CV2025★ 25 cited

SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video

Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian

Older people are susceptible to fall due to instability in posture and deteriorating health. Immediate access to medical support can greatly reduce repercussions. Hence, there is a…

cs.CV2025

Modeling Human Skeleton Joint Dynamics for Fall Detection

Sania Zahan, Ghulam Mubashar Hassan, Ajmal Mian

The increasing pace of population aging calls for better care and support systems. Falling is a frequent and critical problem for elderly people causing serious long-term health is…

cs.CV2025

Single-weight Model Editing for Post-hoc Spurious Correlation Neutralization

Shahin Hakemi, Naveed Akhtar, Ghulam Mubashar Hassan +1

Neural network training tends to exploit the simplest features as shortcuts to greedily minimize training loss. However, some of these features might be spuriously correlated with…

eess.IV2024★ 1 cited

M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans

Juwita juwita, Ghulam Mubashar Hassan, Naveed Akhtar +1

Segmenting organs in CT scan images is a necessary process for multiple downstream medical image analysis tasks. Currently, manual CT scan segmentation by radiologists is prevalent…

cs.SD2023★ 5 cited

COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals

Asmaa Shati, Ghulam Mubashar Hassan, Amitava Datta

A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect people's daily lives worldwide. In medical practice, respiratory sounds are widely used in…

cs.CV2023★ 2 cited

SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

Afsah Saleem, Zaid Ilyas, David Suter +7

Abdominal Aortic Calcification (AAC) is a known marker of asymptomatic Atherosclerotic Cardiovascular Diseases (ASCVDs). AAC can be observed on Vertebral Fracture Assessment (VFA)…

eess.SP2023★ 2 cited

Classification of sleep stages from EEG, EOG and EMG signals by SSNet

Haifa Almutairi, Ghulam Mubashar Hassan, Amitava Datta

Classification of sleep stages plays an essential role in diagnosing sleep-related diseases including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-en…

cs.CV2023

Human Gesture and Gait Analysis for Autism Detection

Sania Zahan, Zulqarnain Gilani, Ghulam Mubashar Hassan +1

Autism diagnosis presents a major challenge due to the vast heterogeneity of the condition and the elusive nature of early detection. Atypical gait and gesture patterns are dominan…

eess.SP2022★ 50 cited

MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG

Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta

Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive.…

cs.CV2022★ 8 cited

Vision Transformer Based Model for Describing a Set of Images as a Story

Zainy M. Malakan, Ghulam Mubashar Hassan, Ajmal Mian

Visual Story-Telling is the process of forming a multi-sentence story from a set of images. Appropriately including visual variation and contextual information captured inside the…

cs.CL2022

Evaluating BERT-based Pre-training Language Models for Detecting Misinformation

Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta

It is challenging to control the quality of online information due to the lack of supervision over all the information posted online. Manual checking is almost impossible given the…

eess.SP2022★ 20 cited

Wavelet-Based Multi-Class Seizure Type Classification System

Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta

Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and…

cs.CR2022★ 14 cited

A Survey of Neural Trojan Attacks and Defenses in Deep Learning

Jie Wang, Ghulam Mubashar Hassan, Naveed Akhtar

Artificial Intelligence (AI) relies heavily on deep learning - a technology that is becoming increasingly popular in real-life applications of AI, even in the safety-critical and h…

cs.LG2021★ 3 cited

BERT based classification system for detecting rumours on Twitter

Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta

The role of social media in opinion formation has far-reaching implications in all spheres of society. Though social media provide platforms for expressing news and views, it is ha…

astro-ph.CO2021

Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning

Rajvir Kaur, Kenji Bekki, Ghulam Mubashar Hassan +1

We present a new method by which the total masses of galaxies including dark matter can be estimated from the kinematics of their globular cluster systems (GCSs). In the proposed m…

eess.SP2020★ 98 cited

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1

Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…

cs.CV2014★ 12 cited

A Comparative Study of Techniques of Distant Reconstruction of Displacement Fields by using DISTRESS Simulator

Ghulam Mubashar Hassan, Arcady V. Dyskin, Cara K. MacNish

Reconstruction and monitoring of displacement and strain fields is an important problem in engineering. We analyze the remote and non-obtrusive methods of strain measurement based…