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20222026
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cs.LG2025

Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland

Oluwadurotimi Onibonoje, Vuong M. Ngo, Andrew McCarre +3

Grasslands, constituting the world's second-largest terrestrial carbon sink, play a crucial role in biodiversity and the regulation of the carbon cycle. Currently, the Irish dairy…

cs.LG2025

An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis

Phuong Q. Dao, Mark Roantree, Vuong M. Ngo

Multimodal Sentiment Analysis (MSA) seeks to understand human emotions by jointly analyzing data from multiple modalities typically text and images offering a richer and more accur…

cs.LG2025

Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction

Vuong M. Ngo, Tran Quang Vinh, Patricia Kearney +1

Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels, leading to complications like heart disease, kidney failure, and nerve damage. Accurate stat…

cs.LG2025

Developing a Dyslexia Indicator Using Eye Tracking

Kevin Cogan, Vuong M. Ngo, Mark Roantree

Dyslexia, affecting an estimated 10% to 20% of the global population, significantly impairs learning capabilities, highlighting the need for innovative and accessible diagnostic me…

cs.LG2023

Exploring the Trie of Rules: a fast data structure for the representation of association rules

Mikhail Kudriavtsev, Marija Bezbradica, Andrew McCarren

Association rule mining techniques can generate a large volume of sequential data when implemented on transactional databases. Extracting insights from a large set of association r…

cs.LG2022

A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning

Adam Stapleton, Elke Eichelmann, Mark Roantree

A deeper understanding of the drivers of evapotranspiration and the modelling of its constituent parts (evaporation and transpiration) could be of significant importance to the mon…