activity
20182025
most citedPredicting Electricity Consumption using Deep Recurrent Neural Networks

9 citations · 23 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2025

Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis

Thivya Thogesan, Anupiya Nugaliyadde, Kok Wai Wong

Interpretability remains a key difficulty in sentiment analysis with Large Language Models (LLMs), particularly in high-stakes applications where it is crucial to comprehend the ra…

cs.CL2023

Extending Memory for Language Modelling

Anupiya Nugaliyadde

Breakthroughs in deep learning and memory networks have made major advances in natural language understanding. Language is sequential and information carried through the sequence c…

cs.MM2021

An Ultra-Specific Image Dataset for Automated Insect Identification

D. L. Abeywardhana, C. D. Dangalle, Anupiya Nugaliyadde +1

Automated identification of insects is a tough task where many challenges like data limitation, imbalanced data count, and background noise needs to be overcome for better performa…

eess.IV2020★ 2 cited

RCNN for Region of Interest Detection in Whole Slide Images

A Nugaliyadde, Kok Wai Wong, Jeremy Parry +5

Digital pathology has attracted significant attention in recent years. Analysis of Whole Slide Images (WSIs) is challenging because they are very large, i.e., of Giga-pixel resolut…

cs.LG2019★ 9 cited

Predicting Electricity Consumption using Deep Recurrent Neural Networks

Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong

Electricity consumption has increased exponentially during the past few decades. This increase is heavily burdening the electricity distributors. Therefore, predicting the future d…

cs.CL2019★ 1 cited

Evolutionary Algorithm for Sinhala to English Translation

J. K. Joseph, W. M. T. Chathurika, A. Nugaliyadde +1

Machine Translation (MT) is an area in natural language processing, which focus on translating from one language to another. Many approaches ranging from statistical methods to dee…