Joint Filtering: Enhancing gesture and mouse movement in Microsoft Kinect application. - Michael Adjeisah; Yi Yang 017; Lian Li 003 (FSKD, 2015)

Multi-Sensor Information Fusion and Machine Learning for High Accuracy Rate of Mechanical Pedometer in Human Activity Recognition. - Michael Adjeisah; Guohua Liu; Douglas Omwenga Nyabuga; Richard Nuetey Nortey (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Twi Corpus: A Massively Twi-to-Handful Languages Parallel Bible Corpus. - Michael Adjeisah; Guohua Liu; Richard Nuetey Nortey; Jinling Song; Lamptey Khalid Odartey; Felix Nana Frimpong (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation. - Michael Adjeisah; Guohua Liu; Douglas Omwenga Nyabuga; Richard Nuetey Nortey; Jinling Song (Comput. Intell. Neurosci., 2021)

ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis. - Marjan Kamyab; Guohua Liu; Abdur Rasool; Michael Adjeisah (PeerJ Comput. Sci., 2022)

Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning. - Michael Adjeisah; Kwame Omono Asamoah; Martha Asamoah Yeboah; Raji Rafiu King; Godwin Ferguson Achaab; Kingsley Adjei (CoRR, 2023)

Towards data augmentation in graph neural network: An overview and evaluation. - Michael Adjeisah; Xinzhong Zhu; Huiying Xu; Tewodros Alemu Ayall (Comput. Sci. Rev., 2023)

Graph Contrastive Multi-view Learning: A Pre-training Framework for Graph Classification. - Michael Adjeisah; Xinzhong Zhu; Huiying Xu; Tewodros Alemu Ayall (Knowl. Based Syst., 2024)

Amharic spoken digits recognition using convolutional neural network. - Tewodros Alemu Ayall; Changjun Zhou; Huawen Liu; Getnet Mezgebu Brhanemeskel; Solomon Teferra Abate; Michael Adjeisah (J. Big Data, 2024)