Thomas Ugochukwu Ejiyi

According to our database, Thomas Ugochukwu Ejiyi authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

A robust framework for clinically interpretable hypothyroidism diagnosis with Polynomial-SHAP and DeepSeqNet.

Chukwuebuka Joseph Ejiyi, Francis Ofoma Eze, Md Altab Hossin, Esther Stacy E. B. Aggrey, Makuachukwu Bennedith Ejiyi, Dongsheng Cai, Thomas Ugochukwu Ejiyi, Oluwatoyosi O. Bamisile, Ann O. Nnani, Favour Amarachi Eya, Zhen Qin, Mugahed A. Al-antari, Yeong Hyeon Gu

J. Big Data, December, 2026

2025

Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis.

Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Francis Ofoma Eze, Makuachukwu Bennedith Ejiyi, Jennifer Ene Idoko, Sarpong Kwadwo Asare, Thomas Ugochukwu Ejiyi

J. Big Data, December, 2025

2024

MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation.

Chukwuebuka Joseph Ejiyi, Zhen Qin, Makuachukwu Bennedith Ejiyi, Chiagoziem Chima Ukwuoma, Thomas Ugochukwu Ejiyi, Gladys Wavinya Muoka, Emmanuel S. A. Gyarteng, Olusola Bamisile

Comput. Biol. Medicine, 2024

Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models.

Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Makuachukwu Bennedith Ejiyi, Ijeoma Amuche Chikwendu, Kenneth Coker, Ariyo Oluwasanmi, Oluwatoyosi F. Bamisile, Thomas Ugochukwu Ejiyi, Zhen Qin

Comput. Biol. Medicine, 2024