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Found 4 papers, 0 papers with code
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
To effectively address partial-label classification, this paper proposes an end-to-end Generic Game-theoretic Network (G2NetPL) for partial-label learning, which can be applied to most partial-label settings, including a very challenging, but annotation-efficient case where only a subset of the training images are labeled, each with only one positive label, while the rest of the training images remain unlabeled.
Multi-Label Classification
Multi-Label Image Classification
+2
Detection of False-Reading Attacks in the AMI Net-Metering System
Based on the data analysis, we propose a general multi-data-source deep hybrid learning-based detector to identify the false-reading attacks.
AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
As we are about to embark upon the highly hyped "Society 5. 0", powered by the Internet of Things (IoT), traditional ways to monitor human heart signals for tracking cardio-vascular conditions are challenging, particularly in remote healthcare settings.
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
In this paper, we propose the use of mimic learning to enable the transfer of intrusion detection knowledge through a teacher model trained on private data to a student model.
