International Journal of Machine Learning and Cybernetics

Papers
(The H4-Index of International Journal of Machine Learning and Cybernetics is 29. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis716
Stochastic configuration network modeling method based on information superposition and mixture correntropy260
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment103
Structural entropy-based scheduler for job planning problems using multi-agent reinforcement learning93
Pixel-patch combination loss for refined edge detection93
Landmark based guidance for reinforcement learning agents under partial observability88
Tripm: a multi-label deep learning SCA model for multi-byte attacks88
Imbalanced driving scene recognition with class focal loss and data augmentation64
Group decision-making method with directed graph under linguistic environment58
Low-rank tensor learning with projection distance metric for multi-view clustering57
Virtual graph augmentation for graph neural networks55
Cross-lingual sentiment analysis empowered by emotional mutual reinforcement through emojis54
Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery52
Faster and lighter surface defect detection model for transparent wine bottle44
Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI42
Solving large-scale global optimization problems and engineering design problems using a novel biogeography-based optimization with Lévy and Brownian movements42
Adaptive condensed fuzzy monotonic K-nearest neighbors for monotonic classification40
KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking39
A novel adaptive methodology for removing spurious components in a modified incremental Gaussian mixture model39
Observer-based finite-time asynchronous sliding mode control with quantized outputs for hidden Markov jump systems37
A new supervised outlier detection method for hybrid data36
Few-shot remote sensing image scene classification based on variational meta-learning35
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation35
Multi-label learning with incomplete labels via dual manifold mappings33
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning33
Data augmentation for aspect-based sentiment analysis33
The concept information of graph granule with application to knowledge graph embedding31
Multi-proposal collaboration and multi-task training for weakly-supervised video moment retrieval29
Machine learning for aspect category detection in mobile edge products: the MLRG-CO algorithm29
CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals29
A novel hybrid approach to detect clients in federated learning for industrial internet of things29
Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering29
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