4 citations · 10 across the 5 of their papers we have counts for
5 papers
Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
Mehdi Neshat, Menasha Thilakaratne, Mohammed El-Abd +3
Smart buildings are gaining popularity because they can enhance energy efficiency, lower costs, improve security, and provide a more comfortable and convenient environment for buil…
LT4SG@SMM4H24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models
Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne +1
This paper presents our approaches for the SMM4H24 Shared Task 5 on the binary classification of English tweets reporting children's medical disorders. Our first approach involves…
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs
Mehdi Neshat, Muktar Ahmed, Hossein Askari +2
Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease. Pneumonia is a common respiratory infection caus…
EmoMent: An Emotion Annotated Mental Health Corpus from two South Asian Countries
Thushari Atapattu, Mahen Herath, Charitha Elvitigala +5
People often utilise online media (e.g., Facebook, Reddit) as a platform to express their psychological distress and seek support. State-of-the-art NLP techniques demonstrate stron…
An Identification of Learners' Confusion through Language and Discourse Analysis
Thushari Atapattu, Katrina Falkner, Menasha Thilakaratne +2
The substantial growth of online learning, in particular, Massively Open Online Courses (MOOCs), supports research into the development of better models for effective learning. Lea…