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MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels
The state-of-the-art MORSs either operate at the global or individual level, without assuming the co-existence of the two perspectives.
Effective Early Stopping of Point Cloud Neural Networks
Early stopping techniques can be utilized to decrease the time cost, however currently the ultimate goal of early stopping techniques is closely related to the accuracy upgrade or the ability of the neural network to generalize better on unseen data without being large or complex in structure and not directly with its efficiency.
End-to-End Intelligent Framework for Rockfall Detection
Our experimental data suggest that some of the above-mentioned machine learning pipelines can be utilized to detect rockfall incidents on mountain walls, with experimentally proven accuracy.
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