Výsledky vyhledávání - adaptive semi-supervised learning detection method

XA-GANomaly: An Explainable Adaptive Semi-Supervised Learning Method for Intrusion Detection Using GANomaly Autor Han, Yuna, Chang, Hangbae

“… This paper proposes XA-GANomaly, a novel technique for explainable adaptive semi-supervised learning using GANomaly, an image anomalous detection model that dynamically trains small subsets to these issues…”
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An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection Autor Shi, Jiguang, Li, Zhoutong, Liu, Wenhan, Zhang, Huaicheng, Luo, Deyu, Ge, Yue, Chang, Sheng, Wang, Hao, He, Jin, Huang, Qijun

“… In this study, an adaptive threshold-based semi-supervised learning model (ATSS-LGP) is proposed. It introduces the multibranch network…”
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Cyber-Attack Detection Using Principal Component Analysis and Noisy Clustering Algorithms: A Collaborative Machine Learning-Based Framework Autor Parizad, Ali, Hatziadoniu, Constantine J.

“… Based on the proposed architecture, three different machine learning-based methods, i.e., visualization, classification, and clustering, are employed and compared to find the best one in the FDIA detection process…”
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An enhanced semi-supervised learning method with self-supervised and adaptive threshold for fault detection and classification in urban power grids Autor Zhang, Jiahao, Cheng, Lan, Yang, Zhile, Xiao, Qinge, Khan, Sohail, Liang, Rui, Wu, Xinyu, Guo, Yuanjun

“… In response to these challenges, this study proposes a semi-supervised learning framework with self-supervised and adaptive threshold (SAT-SSL…”
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A semi-supervised incremental learning method based on adaptive probabilistic hypergraph for video semantic detection Autor Zhan, Yongzhao, Sun, Jiayao, Niu, Dejiao, Mao, Qirong, Fan, Jianping

“… of vertices belonging to a hyperedge is fixed. In this paper, a semi-supervised incremental learning method based on adaptive probabilistic hypergraph for video semantic detection is presented…”
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Adaptive Detection Method for Organic Contamination Events in Water Distribution Systems Using the UV-Vis Spectrum Based on Semi-Supervised Learning Autor Yu, Qiaojun, Yin, Hang, Wang, Ke, Dong, Hui, Hou, Dibo

“… This study proposes an adaptive method for detecting organic contamination events in water distribution systems that uses the UV-Vis spectrum based on a semi-supervised learning model…”
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Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data Autor Ni, Yu-Shu, Chen, Wei-Lun, Liu, Yi, Wu, Ming-Hsuan, Guo, Jiun-In

“… To address the challenges of limited labeled data, we proposed the Adaptive Fused Semi-Supervised Self-Learning (AFSL) method…”
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Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals Autor Chen, Xiangwei, Xiaoa, Ruliang, Zeng, Zhixia, Qiu, Zhipeng, Zhang, Shi, Du, Xin

“…Semi-supervised anomaly detection for sensor signals is critical in ensuring system reliability in smart manufacturing…”
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A semi supervised learning-based method for adaptive shadow detection Autor El-Zahhar, M. M., Karali, A., ElHelw, M.

“… This paper proposes a novel approach for adaptive shadow detection by using semi-supervised learning which is a technique that has been widely utilized in various pattern recognition applications…”
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Semi-Supervised Few-Shot Object Detection via Adaptive Pseudo Labeling Autor Tang, Yingbo, Cao, Zhiqiang, Yang, Yuequan, Liu, Jierui, Yu, Junzhi

“… This paper proposes a semi-supervised few-shot object detection method, which utilizes a teacher model and a pre-trained few-shot object detector to guide the learning of a student model…”
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Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images Autor Li, Jingchen, Shi, Haobin, Chen, Wenbai, Liu, Naijun, Hwang, Kao-Shing

“… Therefore, for end-to-end medical image detection with overcritical efficiency and accuracy in endoscope detection, an ensemble-learning-based model with a semi-supervised mechanism is developed in this work…”
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AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation Autor Ran, Lingyan, Wen, Dongcheng, Zhuo, Tao, Zhang, Shizhou, Zhang, Xiuwei, Zhang, Yanning

“… The data annotation process for CD tasks is both time-consuming and labor-intensive. To better utilize the scarce labeled data and abundant unlabeled data, we introduce an adaptive semi-supervised learning (SSL…”
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Semi-Supervised Object Detection for Remote Sensing Images Using Consistent Dense Pseudo-Labels Autor Zhao, Tong, Zeng, Yujun, Fang, Qiang, Xu, Xin, Xie, Haibin

“… the performance and generalization of corresponding object detection methods. However, most current semi-supervised learning-based object detection methods…”
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Dense Learning based Semi-Supervised Object Detection Autor Chen, Binghui, Li, Pengyu, Chen, Xiang, Wang, Biao, Zhang, Lei, Hua, Xian-Sheng

“…Semi-supervised object detection (SSOD) aims to facilitate the training and deployment of object detectors with the help of a large amount of unlabeled data…”
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Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation Autor Zhang, Xiuwei, Yang, Yizhe, Ran, Lingyan, Chen, Liang, Wang, Kangwei, Yu, Lei, Wang, Peng, Zhang, Yanning

“… This article proposes a novel SCD method named semi-supervised contrastive learning (SSCLNet), in which a simple and effective SCD network is designed as a strong baseline, and a semi-supervised contrastive learning module of semantic segmentation…”
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SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation Autor Zhou, Hong-Yu, Wang, Chengdi, Li, Haofeng, Wang, Gang, Zhang, Shu, Li, Weimin, Yu, Yizhou

“…•We propose a semi-supervised medical image detector with a novel adaptive consistency cost function which takes into account the confidence of proposals at each spatial position…”
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A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples Autor Wu, Zhangjun, Xu, Renli, Luo, Yuansheng, Shao, Haidong

“…•Semi-supervised fault diagnosis method on imbalanced datasets with OOD detection…”
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An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning Autor Qiu, Tie, Liu, Xize, Zhou, Xiaobo, Qu, Wenyu, Ning, Zhaolong, Chen, C. L. Philip

“… Because social spammers frequently change their behavior to deceive the spammer detection model, an incremental learning method is designed to update the spammer…”
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A network anomaly detection algorithm based on semi-supervised learning and adaptive multiclass balancing Autor Zhang, Hao, Xiao, Zude, Gu, Jason, Liu, Yanhua

“… Due to the unpredictable and severe consequences resulting from malicious attacks, the detection of anomalous network traffic has garnered considerable attention from researchers over the past few decades…”
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PE-MCAT: Leveraging Image Sensor Fusion and Adaptive Thresholds for Semi-Supervised 3D Object Detection Autor Li, Bohao, Song, Shaojing, Ai, Luxia

“… In this paper, we propose PE-MCAT, a semi-supervised 3D object detection method that generates high-precision pseudo-labels…”
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