Cobbinah Bernard Mawuli
Orcid: 0000-0003-3565-6520Affiliations:
- University of Electronic Science and Technology of China, School of Computer Science and Engineering, Data Mining Lab, Yangtze Delta Region Institute, China
According to our database1,
Cobbinah Bernard Mawuli
authored at least 25 papers
between 2021 and 2024.
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Bibliography
2024
Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things.
IEEE J. Biomed. Health Informatics, June, 2024
A reliable adaptive prototype-based learning for evolving data streams with limited labels.
Inf. Process. Manag., January, 2024
Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay.
Inf. Sci., 2024
Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective.
Inf. Fusion, 2024
Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis.
Expert Syst. Appl., 2024
Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans.
Eng. Appl. Artif. Intell., 2024
Comput. Biol. Medicine, 2024
2023
FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization.
Inf. Sci., December, 2023
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks.
Expert Syst. Appl., October, 2023
Expert Syst. Appl., October, 2023
Empowering neural collaborative filtering with contextual features for multimedia recommendation.
Multim. Syst., August, 2023
Comput. Electr. Eng., April, 2023
Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators.
CoRR, 2023
2022
IEEE Trans. Cybern., 2022
Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder.
Medical Image Anal., 2022
Accelerating trail navigation for unmanned aerial vehicle: A denoising deep-net with 3D-NLGL.
J. Intell. Fuzzy Syst., 2022
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data.
Expert Syst. Appl., 2022
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images.
Comput. Medical Imaging Graph., 2022
Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images.
Comput. Biol. Medicine, 2022
2021
Classification of Alzheimer's Disease Using Deep Convolutional Spiking Neural Network.
Neural Process. Lett., 2021
Data stream classification with novel class detection: a review, comparison and challenges.
Knowl. Inf. Syst., 2021