Cobbinah Bernard Mawuli

Orcid: 0000-0003-3565-6520

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Privacy-preserving blockchain-based federated learning for brain tumor segmentation.
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

A context-enhanced Dirichlet model for online clustering in short text streams.
Expert Syst. Appl., October, 2023

Empowering neural collaborative filtering with contextual features for multimedia recommendation.
Multim. Syst., August, 2023

Dynamic context management in context-aware recommender systems.
Comput. Electr. Eng., April, 2023

Semi-supervised federated learning on evolving data streams.
Inf. Sci., 2023

Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators.
CoRR, 2023

2022
Learning High-Dimensional Evolving Data Streams With Limited Labels.
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

Multi-instance attention network for few-shot learning.
Inf. Sci., 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


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