Most Recent Additions*
QA Manual V. 5.3- 2025
CCT College Dublin
Time Series Forecasting in Financial Markets: Benchmarking the Temporal Fusion Transformer Against N-BEATS.
Fergus Fleury
Tour Demand Forecasting in Ireland: Development and Evaluation of Classical, Deep Learning, and Hybrid Models
Ruben Elias Charleston Montfort
Traditional vs Deep Learning Approaches for Efficient Electricity Consumption Prediction.
Lucas Sant’Ana
Understanding Model Behaviour and Interpretability in Time Series Forecasting: A Deep Dive into LSTM and GRU with XAI Techniques.
Federico Ariton
Implementation of Time Series and Neural Networks for Forecasting Agricultural Prices in the Irish Market: A Comparative Analysis of Milk, Beef, and Potatoes.
César Augusto Núñez
Improving Fairness in Convolutional Neural Networks for Demographic Face Classification.
Leandro Andrade
Investigating the Effectiveness of Traditional VS Hybrid Time Series Models in Operational Planning.
Cristina Priolo
Neural Networks Activation Functions and Hybrid Activations Functions accuracy and loss comparison on small dataset against large datasets for classification problems.
Antonio Felipe Cora Martins
Predicting S&P Corporate Credit Ratings using Financial Ratios and Machine Learning: An Analysis of European Non-Financial Companies.
Gabriele Frattaroli
Identifying and Forecasting Key Drivers of Greenhouse Gas Emissions in Ireland's Residential Sector Multivariate Time Series Analysis.
Sallam Noor Aldeen Salman
*Updated as of 03/30/26.