1 citations · 3 across the 10 of their papers we have counts for
10 papers
Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
Yunusa Haruna, Adamu Lawan, Ibrahim Haruna Abdulhamid +4
Machine unlearning enables models to selectively forget training data, driven by privacy regulations such as GDPR and CCPA. However, its fairness implications remain underexplored:…
MOSAIC: A Universal Agent-Level Interface for Cross-Paradigm Agent Mixing and Human-AI Collaboration
Abdulhamid M. Mousa, Jinhui Pang, Rakhmonberdi Khajiev +5
Existing infrastructure cannot deploy agents from different decision-making paradigms within the same environment, making fair cross-paradigm comparison under identical conditions…
GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Haruna Yunusa
Aspect-based Sentiment Analysis (ABSA) has recently advanced into the multimodal domain, where user-generated content often combines text and images. However, existing multimodal A…
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition
Yunusa Haruna, Adamu Lawan, Shamsuddeen Hassan Muhammad +2
Capturing long-range dependencies (LRD) efficiently is a core challenge in visual recognition, and state-space models (SSMs) have recently emerged as a promising alternative to sel…
KonvLiNA: Integrating Kolmogorov-Arnold Network with Linear Nyström Attention for feature fusion in Crop Field Detection
Haruna Yunusa, Qin Shiyin, Adamu Lawan +1
Crop field detection is a critical component of precision agriculture, essential for optimizing resource allocation and enhancing agricultural productivity. This study introduces K…
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
Abdulrahman Hamman Adama Chukkol, Senlin Luo, Kashif Sharif +2
Binary program vulnerability detection is critical for software security, yet existing deep learning approaches often rely on source code analysis, limiting their ability to detect…
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency
Haruna Yunusa, Adamu Lawan, Abdulganiyu Abdu Yusuf
The recent emergence of hybrid models has introduced a transformative approach to computer vision, gradually moving beyond conventional convolutional neural networks and vision tra…
M2ANET: Mobile Malaria Attention Network for efficient classification of plasmodium parasites in blood cells
Salam Ahmed Ali, Peshraw Salam Abdulqadir, Shan Ali Abdullah +1
Malaria is a life-threatening infectious disease caused by Plasmodium parasites, which poses a significant public health challenge worldwide, particularly in tropical and subtropic…
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +2
Aspect-Based Sentiment Analysis (ABSA) is increasingly crucial in Natural Language Processing (NLP) for applications such as customer feedback analysis and product recommendation s…
SaRPFF: A Self-Attention with Register-based Pyramid Feature Fusion module for enhanced RLD detection
Yunusa Haruna, Shiyin Qin, Abdulrahman Hamman Adama Chukkol +2
Detecting objects across varying scales is still a challenge in computer vision, particularly in agricultural applications like Rice Leaf Disease (RLD) detection, where objects exh…