A systematic review of fundamental and technical analysis of stock market predictions. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori (Artif. Intell. Rev., 2020)

Efficient Stock-Market Prediction Using Ensemble Support Vector Machine. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori (Open Comput. Sci., 2020)

Synchronising social media into teaching and learning settings at tertiary education. - Isaac Kofi Nti; Adebayo Felix Adekoya; Michael Opoku; Peter Nimbe (Int. J. Soc. Media Interact. Learn. Environ., 2020)

A comprehensive evaluation of ensemble learning for stock-market prediction. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori (J. Big Data, 2020)

Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori (Appl. Comput. Syst., 2020)

Network Intrusion Detection with StackNet: A phi coefficient Based Weak Learner Selection Approach. - Isaac Kofi Nti; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; R. Arjun 001 (ACIT, 2021)

Enhancing Flood Prediction using Ensemble and Deep Learning Techniques. - Isaac Kofi Nti; Owusu Nyarko-Boateng; Samuel Boateng; Faiza Umar Bawah; Promise Ricardo Agbedanu; Nicodemus Songose Awarayi; Peter Nimbe; Adebayo Felix Adekoya; Benjamin Asubam Weyori; Vivian Akoto-Adjepong (ACIT, 2021)

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori (J. Big Data, 2021)

Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features. - Bridgitte Owusu-Boadu; Isaac Kofi Nti; Owusu Nyarko-Boateng; Justice Aning; Victoria Boafo (Appl. Comput. Syst., 2021)

A mini-review of machine learning in big data analytics: Applications, challenges, and prospects. - Isaac Kofi Nti; Juanita Ahia Quarcoo; Justice Aning; Godfred Kusi Fosu (Big Data Min. Anal., 2022)

Stacknet based decision fusion classifier for network intrusion detection. - Isaac Kofi Nti; Owusu Narko-Boateng; Adebayo Felix Adekoya; Arjun Remadevi Somanathan (Int. Arab J. Inf. Technol., 2022)

Applications of artificial intelligence in engineering and manufacturing: a systematic review. - Isaac Kofi Nti; Adebayo Felix Adekoya; Benjamin Asubam Weyori; Owusu Nyarko-Boateng (J. Intell. Manuf., 2022)

Predicting diabetes using Cohen's Kappa blending ensemble learning. - Isaac Kofi Nti; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; Benjamin Asubam Weyori; Henrietta Pokuaa Adjei (Int. J. Electron. Heal., 2023)

A Thematic Analysis and Detection of Fraudulent Online Ratings. - Sivani Chava; Isaac Kofi Nti; Murat Ozer (AIBThings, 2024)

Enhancing Network Intrusion Detection System Using NDAE With Xgboost. - Yakubu Joseph Itodo; Isaac Kofi Nti (AIBThings, 2024)

Thyro-AI: Harnessing Machine Learning for Thyroid Prediction. - Naga Sri Harsha Sankabathula; Isaac Kofi Nti; Murat Ozer (AIBThings, 2024)

Developing A System for Automatic Prediction of Polycystic Ovary Syndrome Using Machine Learning. - Kemi Akanbi; Odunayo Gabriel Adepoju; Isaac Kofi Nti (MLMI, 2024)

Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling. - Isaac Kofi Nti; Kwabena Adu; Peter Nimbe; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; Peter Appiahene (Int. J. Appl. Decis. Sci., 2024)

Empirical assessment of COVID-19 infections and information diffusion: a data science approach. - Isaac Kofi Nti; Adebayo Felix Adekoya; Owusu Nyarko-Boateng; Ponnadurai Ramasami (Int. J. Medical Eng. Informatics, 2024)

A Scalable RF-XGBoost Framework for Financial Fraud Mitigation. - Isaac Kofi Nti; Arjun Remadevi Somanathan (IEEE Trans. Comput. Soc. Syst., 2024)