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ORCIDIsaac Kofi Nti
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2020 – today
- 2024
[j14]Isaac Kofi Nti, Kwabena Adu, Peter Nimbe, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Peter Appiahene:
Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling. Int. J. Appl. Decis. Sci. 17(2): 230-249 (2024)- [j13]Isaac Kofi Nti, Adebayo Felix Adekoya, Owusu Nyarko-Boateng, Ponnadurai Ramasami:
Empirical assessment of COVID-19 infections and information diffusion: a data science approach. Int. J. Medical Eng. Informatics 16(2): 97-114 (2024) - [j12]Isaac Kofi Nti
, Arjun Remadevi Somanathan:
A Scalable RF-XGBoost Framework for Financial Fraud Mitigation. IEEE Trans. Comput. Soc. Syst. 11(2): 1556-1563 (2024) - 2023
- [j11]Isaac Kofi Nti, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Henrietta Pokuaa Adjei:
Predicting diabetes using Cohen's Kappa blending ensemble learning. Int. J. Electron. Heal. 13(1): 57-70 (2023) - 2022
- [j10]Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu:
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects. Big Data Min. Anal. 5(2): 81-97 (2022) - [j9]Isaac Kofi Nti, Owusu Narko-Boateng, Adebayo Felix Adekoya, Arjun Remadevi Somanathan:
Stacknet based decision fusion classifier for network intrusion detection. Int. Arab J. Inf. Technol. 19(3A): 478-490 (2022) - [j8]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng:
Applications of artificial intelligence in engineering and manufacturing: a systematic review. J. Intell. Manuf. 33(6): 1581-1601 (2022) - 2021
- [j7]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. J. Big Data 8(1): 1-28 (2021) - [j6]Bridgitte Owusu-Boadu, Isaac Kofi Nti, Owusu Nyarko-Boateng, Justice Aning, Victoria Boafo:
Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features. Appl. Comput. Syst. 26(2): 122-131 (2021) - [c2]Isaac Kofi Nti, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, R. Arjun:
Network Intrusion Detection with StackNet: A phi coefficient Based Weak Learner Selection Approach. ACIT 2021: 1-11 - [c1]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:
Enhancing Flood Prediction using Ensemble and Deep Learning Techniques. ACIT 2021: 1-9 - 2020
- [j5]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
A systematic review of fundamental and technical analysis of stock market predictions. Artif. Intell. Rev. 53(4): 3007-3057 (2020) - [j4]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
Efficient Stock-Market Prediction Using Ensemble Support Vector Machine. Open Comput. Sci. 10(1): 153-163 (2020) - [j3]Isaac Kofi Nti, Adebayo Felix Adekoya, Michael Opoku, Peter Nimbe:
Synchronising social media into teaching and learning settings at tertiary education. Int. J. Soc. Media Interact. Learn. Environ. 6(3): 230-243 (2020) - [j2]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
A comprehensive evaluation of ensemble learning for stock-market prediction. J. Big Data 7(1): 20 (2020) - [j1]Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana. Appl. Comput. Syst. 25(1): 33-42 (2020)
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