Algorithmic Generation of Positive Samples for Compound-Target Interaction Prediction. - Ebenezer Nanor; Wei-Ping Wu; Strato Angsoteng Bayitaa; Victor Kwaku Agbesi; Brighter Agyemang (ICMLC, 2021)

Multi-Topic Categorization in a Low-Resource Ewe Language: A Modern Transformer Approach. - Victor Kwaku Agbesi; Wenyu Chen 001; Noble Arden Elorm Kuadey; Gerald Tietaa Maale (ICCCS, 2022)

Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images. - Chiagoziem Chima Ukwuoma; Zhiguang Qin; Victor Kwaku Agbesi; Bernard Cobbinah Mawuli; Sophyani Banaamwini Yussif; Hassan Sani Abubakar; Bona D. Lemessa (Comput. Biol. Medicine, 2022)

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images. - Chiagoziem Chima Ukwuoma; Zhiguang Qin; Victor Kwaku Agbesi; Chukwuebuka Joseph Ejiyi; Olusola Bamisile; Ijeoma Amuche Chikwendu; Bole Wilfried Tienin; Md Altab Hossin (Comput. Biol. Medicine, 2022)

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward. - Guolin Sun; Daniel Ayepah-Mensah; Rong Xu; Victor Kwaku Agbesi; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2022)

Attention Based BiGRU-2DCNN with Hunger Game Search Technique for Low-Resource Document-Level Sentiment Classification. - Victor Kwaku Agbesi; Wenyu Chen 001; Sintayehu M. Gizaw; Chiagoziem Chima Ukwuoma; Abush S. Ameneshewa; Chukwuebuka Joseph Ejiyi (IPMV, 2023)

Efficient Adaptive Convolutional Model Based on Label Embedding for Text Classification Using Low Resource Languages. - Victor Kwaku Agbesi; Wenyu Chen 001; Abush S. Ameneshewa; Emmanuel Odame; Koffi Dumor; Judith Ayekai Browne (ISMSI, 2023)

Predicting students' continuance use of learning management system at a technical university using machine learning algorithms. - Noble Arden Elorm Kuadey; Francois Mahama; Carlos Ankora; Lily Bensah; Gerald Tietaa Maale; Victor Kwaku Agbesi; Anthony Mawuena Kuadey; Laurene Adjei (Interact. Technol. Smart Educ., 2023)

Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language. - Victor Kwaku Agbesi; Wenyu Chen 001; Sophyani Banaamwini Yussif; Md Altab Hossin; Chiagoziem Chima Ukwuoma; Noble Arden Elorm Kuadey; Colin Collinson Agbesi; Nagwan M. Abdel Samee; Mona M. Jamjoom; Mugahed A. Al-antari (Syst., 2024)

Low resource Twi-English parallel corpus for machine translation in multiple domains (Twi-2-ENG). - Emmanuel Agyei; Xiaoling Zhang; Stephen Bannerman; Ama Bonuah Quaye; Sophyani Banaamwini Yussif; Victor Kwaku Agbesi (Discov. Comput., 2024)

Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Makuachukwu Bennedith Ejiyi; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Favour Ezinne Onyekwere; Olusola Bamisile (Prog. Artif. Intell., 2024)

ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Makuachukwu Bennedith Ejiyi; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Favour Ezinne Onyekwere; Olusola O. Bamisile (Comput. Biol. Medicine, 2025)

Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Ding Yi; Abena A. Atwereboannah; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Bakanina Kissanga Grace-Mercure; Olusola O. Bamisile (Comput. Biol. Medicine, 2025)