33 citations · 57 across the 10 of their papers we have counts for
11 papers
Architecture-aware Robustness Evaluation of Explainable Deep Learning for Breast Cancer Diagnosis
Balenthira Thanusanth, Selvarajah Thuseethan, Roshan G. Ragel +3
Explainable Artificial Intelligence (XAI) has become essential in medical image analysis to ensure transparency of deep learning (DL)-based diagnostic systems. However, selecting a…
HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives
Sathiyamohan Nishankar, Pubudu Sanjeewani, Asanka Perera +1
Vision Transformer (ViT) design has become increasingly diverse, with backbones combining convolutional stems, windowed, linear, or multi-axis attention, patch merging, and spatial…
Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs
Sathiyamohan Nishankar, Nethmi Pathirana, Pubudu Sanjeewani +2
Most evidence on the effectiveness of explainable artificial intelligence (XAI) attribution methods has been established on convolutional neural networks (CNNs), with limited inves…
UtVAA: Ultra-tiny Vision Transformer with Affix Attention for Mobile Image Classification
Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +1
Vision Transformers (ViTs) have demonstrated strong representation capability in image classification. However, their quadratic self-attention complexity and large parameter counts…
U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition
Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +4
Federated learning has emerged as a privacy-preserving and efficient approach for deploying intelligent agricultural solutions. Accurate edge-based diagnosis across geographically…
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Md. Abdur Rahman, Selvarajah Thuseethan, Kheng Cher Yeo +2
Automated birdsong classification is essential for advancing ecological monitoring and biodiversity studies. Despite recent progress, existing methods often depend heavily on label…
Double Attention-based Lightweight Network for Plant Pest Recognition
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar +1
Timely recognition of plant pests from field images is significant to avoid potential losses of crop yields. Traditional convolutional neural network-based deep learning models dem…
Siamese Network-based Lightweight Framework for Tomato Leaf Disease Recognition
Selvarajah Thuseethan, Palanisamy Vigneshwaran, Joseph Charles +1
Automatic tomato disease recognition from leaf images is vital to avoid crop losses by applying control measures on time. Even though recent deep learning-based tomato disease reco…
Effective Use of Human Computer Interaction in Digital Academic Supportive Devices
S. Thuseethan, S. Kuhanesan
In this research, a literature in human-computer interaction is reviewed and the technology aspect of human computer interaction related with digital academic supportive devices is…
Department Management System for Departments of Sri Lankan Universities
S. Thuseethan
This paper proposes a new method of data handling as well as implementation of management system for an academic department. Management system is a proven framework for managing an…
Usability Evaluation of Learning Management Systems in Sri Lankan Universities
Selvarajah Thuseethan, Sivapalan Achchuthan, Sinnathamby Kuhanesan
As far as Learning Management System is concerned, it offers an integrated platform for educational materials, distribution and management of learning as well as accessibility by a…