Most Recent Additions*
Using Machine Learning to Predict Credit Card Fraud
Pedro Henrique das Chagas Morais
The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners
Gabriel Bueno Pimentel Borges
Assemble the ensemble: A multi model approach for customer churn prediction in the gambling industry.
Paul Corcoran
Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics
Corey Louise Hughes
Predicting Early Customer Inactivity in the Banking Sector Using Machine Learning: A Churn Prevention
Ivana Mc Fadden
Player Transfer Market in European Football Using Machine Learning to analyse the evolution of the European football.
Pablo Lopes de Souza Oliveira
Big data vs Big law: The impact of big data and machine learning in anonymising or synthesizing data for use across borders.
Kenneth Darker
Customer Service Support. Utilizing machine learning to classify, prioritize and summarize issues.
Hoai Nhan Nguyen
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
Dogs Emotion System- Poster
Muhammad Anas Baig
Improving Chatbot Interactions Through AI-Driven Hate Speech Detection: Evolving to a Safer Digital Environment-Poster
Rata Gheorghita and Wellington Mariano
Dogs Emotion System
Muhammad Anas Baig
Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland
Amy Souza and Thaynna Vieira
Predicting early hospital readmissions for diabetic patients using machine learning- Poster
Amanda Ferraz and Leonardo Oliveira
Predicting early hospital readmissions for diabetic patients using machine learning
Amanda Ferraz and Leonardo Oliveira
*Updated as of 12/10/25.