Salah Ud Din
Orcid: 0000-0002-4145-7176
According to our database1,
Salah Ud Din
authored at least 22 papers
between 2020 and 2024.
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Bibliography
2024
Leveraging neighborhood and path information for influential spreaders recognition in complex networks.
J. Intell. Inf. Syst., April, 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
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
Expert Syst. Appl., October, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data.
Expert Syst. Appl., 2022
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach.
CoRR, 2022
2021
Multim. Tools Appl., 2021
Data stream classification with novel class detection: a review, comparison and challenges.
Knowl. Inf. Syst., 2021
J. Intell. Fuzzy Syst., 2021
Analysis of non-Newtonian magnetic Casson blood flow in an inclined stenosed artery using Caputo-Fabrizio fractional derivatives.
Comput. Methods Programs Biomed., 2021
2020
J. Intell. Fuzzy Syst., 2020
Exploiting evolving micro-clusters for data stream classification with emerging class detection.
Inf. Sci., 2020
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare.
IEEE Access, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020