Data stream classification with novel class detection: a review, comparison and challenges. - Salah Ud Din; Junming Shao; Jay Kumar; Cobbinah Bernard Mawuli; S. M. Hasan Mahmud; Wei Zhang; Qinli Yang (Knowl. Inf. Syst., 2021)

Classification of Alzheimer's Disease Using Deep Convolutional Spiking Neural Network. - Regina Esi Turkson; Hong Qu; Cobbinah Bernard Mawuli; Moses J. Eghan (Neural Process. Lett., 2021)

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)

Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. - Rajesh Kumar 014; Jay Kumar; Abdullah Aman Khan; Zakria; Hub Ali; Bernard Cobbinah Mawuli; Riaz Ullah Khan; Shaoning Zeng (Comput. Medical Imaging Graph., 2022)

A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data. - Amin Ul Haq; Jianping Li 002; Bless Lord Y. Agbley; Cobbinah Bernard Mawuli; Zafar Ali; Shah Nazir; Salah Ud Din (Expert Syst. Appl., 2022)

Multi-instance attention network for few-shot learning. - Zhili Qin; Han Wang; Cobbinah Bernard Mawuli; Wei Han 009; Rui Zhang 070; Qinli Yang; Junming Shao (Inf. Sci., 2022)

Accelerating trail navigation for unmanned aerial vehicle: A denoising deep-net with 3D-NLGL. - Isaac Osei Agyemang; Xiaoling Zhang; Isaac Adjei Mensah; Bless Lord Y. Agbley; Bernard Cobbinah Mawuli; Linda Delali Fiasam; Collins Sey (J. Intell. Fuzzy Syst., 2022)

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. - Bernard Cobbinah Mawuli; Christian Sorg; Qinli Yang; Arvid Ternblom; Changgang Zheng; Wei Han 009; Liwei Che; Junming Shao (Medical Image Anal., 2022)

Learning High-Dimensional Evolving Data Streams With Limited Labels. - Salah Ud Din; Jay Kumar; Junming Shao; Cobbinah Bernard Mawuli; Waldiodio David Ndiaye (IEEE Trans. Cybern., 2022)

Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators. - Isaac Osei Agyemang; Isaac Adjei Mensah; Sophyani Banaamwini Yussif; Linda Delali Fiasam; Bernard Cobbinah Mawuli; Bless Lord Y. Agbley; Collins Sey; Joshua Berkohd (CoRR, 2023)

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)

Enhancing Alzheimer's Disease Classification using 3D Convolutional Neural Network and Multilayer Perceptron Model with Attention Network. - Enoch Frimpong; Zhiguang Qin; Regina Esi Turkson; Bernard Mawuli Cobbinah; Edward Yellakuor Baagyere; Edwin Kwadwo Tenagyei (KSII Trans. Internet Inf. Syst., 2023)

Dynamic context management in context-aware recommender systems. - Waqar Ali 001; Jay Kumar; Cobbinah Bernard Mawuli; Lei She; Jie Shao 001 (Comput. Electr. Eng., 2023)

Empowering neural collaborative filtering with contextual features for multimedia recommendation. - Israr Ur Rehman; Muhammad Shehzad Hanif; Zulfiqar Ali 002; Zahoor Jan; Cobbinah Bernard Mawuli; Waqar Ali 001 (Multim. Syst., 2023)

A context-enhanced Dirichlet model for online clustering in short text streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (Expert Syst. Appl., 2023)

LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. - Aman Ullah; Junming Shao; Qinli Yang; Nasrullah Khan; Bernard Cobbinah Mawuli; Rajesh Kumar 014 (Expert Syst. Appl., 2023)

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. - Cobbinah Bernard Mawuli; Liwei Che; Jay Kumar; Salah Ud Din; Zhili Qin; Qinli Yang; Junming Shao (IEEE Trans. Syst. Man Cybern. Syst., 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)

Privacy-preserving blockchain-based federated learning for brain tumor segmentation. - Rajesh Kumar 014; Bernard Mawuli Cobbinah; Aman Ullah; Riaz Ullah Khan; Jay Kumar; Delanyo Kwame Bensah Kulevome; Yunbo Rao; Shaoning Zeng (Comput. Biol. Medicine, 2024)

Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans. - Isaac Adjei Mensah; Xiaoling Zhang; Isaac Osei Agyemang; Sophyani Banaamwini Yussif; Adu Asare Baffour; Bernard Mawuli Cobbinah; Collins Sey; Linda Delali Fiasam; Ijeoma Amuche Chikwendu; Joseph Roger Arhin (Eng. Appl. Artif. Intell., 2024)

Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis. - Delanyo Kwame Bensah Kulevome; Hong Wang; Bernard Mawuli Cobbinah; Ernest Smith Mawuli; Rajesh Kumar 014 (Expert Syst. Appl., 2024)

Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective. - Aman Ullah; Salah Ud Din; Nasrullah Khan; Cobbinah Bernard Mawuli; Junming Shao (Inf. Fusion, 2024)

Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay. - Salah Ud Din; Qinli Yang; Junming Shao; Cobbinah Bernard Mawuli; Aman Ullah; Waqar Ali 001 (Inf. Sci., 2024)

A reliable adaptive prototype-based learning for evolving data streams with limited labels. - Salah Ud Din; Aman Ullah; Cobbinah Bernard Mawuli; Qinli Yang; Junming Shao (Inf. Process. Manag., 2024)

Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things. - Bless Lord Y. Agbley; Jianping Li 002; Amin Ul Haq; Edem Kwedzo Bankas; Cobbinah Bernard Mawuli; Sultan Ahmad; Shakir Khan; Ahmad Raza Khan (IEEE J. Biomed. Health Informatics, 2024)

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)