60 citations · 63 across the 12 of their papers we have counts for
12 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:…
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…
AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +3
Aspect-based Sentiment Analysis (ABSA) is a crucial NLP task that extracts fine-grained opinions and sentiments from text, such as product reviews and customer feedback. Existing m…
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…
Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation
Aliyu Umar, Maaruf Lawan, Adamu Lawan +2
Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, in…
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…
DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +4
Multimodal Aspect-based Sentiment Analysis (MABSA) enhances sentiment detection by integrating textual data with complementary modalities, such as images, to provide a more refined…
Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +2
Aspect-based Sentiment Analysis (ABSA) evaluates sentiments toward specific aspects of entities within the text. However, attention mechanisms and neural network models struggle wi…
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…
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…
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
Haruna Yunusa, Shiyin Qin, Abdulrahman Hamman Adama Chukkol +3
The hybrid of Convolutional Neural Network (CNN) and Vision Transformers (ViT) architectures has emerged as a groundbreaking approach, pushing the boundaries of computer vision (CV…
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…