Unsupervised discriminant canonical correlation analysis based on spectral clustering. - Sheng Wang 015; Jianfeng Lu 003; Xingjian Gu; Benjamin Asubam Weyori; Jing-Yu Yang 001 (Neurocomputing, 2016)

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)

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

Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks. - Owusu Nyarko-Boateng; 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)

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)

Capsule network with K-Means routingfor plant disease recognition. - Patrick Kwabena Mensah; Benjamin Asubam Weyori; Mighty Abra Ayidzoe (J. Intell. Fuzzy Syst., 2021)

Models in quantum computing: a systematic review. - Peter Nimbe; Benjamin Asubam Weyori; Adebayo Felix Adekoya (Quantum Inf. Process., 2021)

Improving the Financial Security of National Health Insurance using Cloud-Based Blockchain Technology Application. - Anokye Acheampong Amponsah; Adebayo Felix Adekoya; Benjamin Asubam Weyori (Int. J. Inf. Manag. Data Insights, 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)

Exploring the performance of LBP-capsule networks with K-Means routing on complex images. - Patrick Kwabena Mensah; Benjamin Asubam Weyori; Mighty Abra Ayidzoe (J. King Saud Univ. Comput. Inf. Sci., 2022)

Classification of Blood Cells Using Optimized Capsule Networks. - Yaw Afriyie; Benjamin Asubam Weyori; Alex Akwasi Opoku (Neural Process. Lett., 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)

The significant impact of parameter tuning on blocking bug prediction. - Selasie Brown Aformaley; Benjamin Asubam Weyori; Adebayo Felix Adekoya; Patrick Kwaku Kudjo (Int. J. Syst. Assur. Eng. Manag., 2023)

DPafy-GCaps: Denoising patch-and-amplify Gabor capsule network for the recognition of gastrointestinal diseases. - Henrietta Pokuaa Adjei; Adeboya Felix Adekoya; Benjamin Asubam Weyori; Owusu Nyarko-Boateng (Turkish J. Electr. Eng. Comput. Sci., 2024)

A scaling up approach: a research agenda for medical imaging analysis with applications in deep learning. - Yaw Afriyie; Benjamin Asubam Weyori; Alex Akwasi Opoku (J. Exp. Theor. Artif. Intell., 2024)