Lord Coffie

According to our database, Lord Coffie authored at least 7 papers in 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Predicting Numeric Financial KPIs From Unstructured Text: a Comparative Study of LLM-Based Embeddings and Traditional NLP Techniques.

Lord Coffie, Melvin Ajuluchukwu, Michael Nsor

Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Comparative Analysis of Machine Learning, Deep Learning, and Ensemble Models for Stroke Prediction Using Electronic Health Records.

Lord Coffie, Mary Dufie Afrane, Kwabena Opoku Frempong-Kore, Jongyeop Kim

Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Modeling and Forecasting Train Delays Using Spatiotemporal Graph Neural Networks.

Lord Coffie

Proceedings of the 29th IEEE/ACIS International Conference on Software Engineering, 2025

Forecasting Air Quality Index (AQI) Using Machine Learning Techniques.

Lord Coffie, Emmanuella Bosompema Obeng, Mary Dufie Afrane, Jongyeop Kim, Yao Xu

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

Fraud Detection in Financial Transactions Using Deep Neural Networks.

Lord Coffie, Jongyeop Kim, Jongho Seol

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

A Hybrid Deep Learning Approach for Predicting Campaign Success.

Melvin Ajuluchukwu, Lord Coffie, Jongyeop Kim

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

Using Machine Learning to Cluster and Predict Students' Learning Styles.

Lord Coffie, Hayden Wimmer, Jie Du

Proceedings of the 31st Americas Conference on Information Systems: Intelligent Technologies for a Better Future, 2025