Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints. - Brighter Agyemang; Wei-Ping Wu; Michael Y. Kpiebaareh; Ebenezer Nanor (CoRR, 2019)

Graph Based Analytics Enhanced by Deep Learning. - Strato Angsoteng Bayitaa; Ebenezer Nanor; Michael Y. Kpiebaareh; Brighter Agyemang; Wei-Ping Wu (ICCDE, 2020)

Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules. - Brighter Agyemang; Wei-Ping Wu; Daniel Addo; Michael Y. Kpiebaareh; Ebenezer Nanor; Charles Roland Haruna (CoRR, 2020)

Multi-view self-attention for interpretable drug-target interaction prediction. - Brighter Agyemang; Wei-Ping Wu; Michael Yelpengne Kpiebaareh; Zhihua Lei; Ebenezer Nanor; Lei Chen (J. Biomed. Informatics, 2020)

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)

Semi-supervised federated learning on evolving data streams. - Cobbinah Bernard Mawuli; Jay Kumar; Ebenezer Nanor; Shangxuan Fu; Liangxu Pan; Qinli Yang; Wei Zhang; Junming Shao (Inf. Sci., 2023)

FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization. - Ebenezer Nanor; Bernard Cobbinah Mawuli; Qinli Yang; Junming Shao; Christiana Kobiah (Inf. Sci., 2023)

CFARMS: A clustered federated learning framework with recursive model selection. - Ebenezer Nanor; Bernard Mawuli Cobbinah; Qinli Yang; Junming Shao; Nan Meng; Jason Cheung; Philip K. Adjei; Leo Wang (Expert Syst. Appl., 2026)