Search Results - adaptive semi-supervised learning detection method

XA-GANomaly: An Explainable Adaptive Semi-Supervised Learning Method for Intrusion Detection Using GANomaly by 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…”
Get full text

An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection by 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…”
Get full text

Cyber-Attack Detection Using Principal Component Analysis and Noisy Clustering Algorithms: A Collaborative Machine Learning-Based Framework by 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…”
Get full text

An enhanced semi-supervised learning method with self-supervised and adaptive threshold for fault detection and classification in urban power grids by 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…”
Get full text

A semi-supervised incremental learning method based on adaptive probabilistic hypergraph for video semantic detection by 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…”
Get full text

Adaptive Detection Method for Organic Contamination Events in Water Distribution Systems Using the UV-Vis Spectrum Based on Semi-Supervised Learning by 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…”
Get full text

Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data by 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…”
Get full text

Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals by 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…”
Get full text

A semi supervised learning-based method for adaptive shadow detection by 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…”
Get full text

Semi-Supervised Few-Shot Object Detection via Adaptive Pseudo Labeling by 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…”
Get full text

Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images by 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…”
Get full text

AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation by 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…”
Get full text

Semi-Supervised Object Detection for Remote Sensing Images Using Consistent Dense Pseudo-Labels by 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…”
Get full text

Dense Learning based Semi-Supervised Object Detection by 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…”
Get full text

Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation by 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…”
Get full text

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation by 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…”
Get full text

A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples by Wu, Zhangjun, Xu, Renli, Luo, Yuansheng, Shao, Haidong

“…•Semi-supervised fault diagnosis method on imbalanced datasets with OOD detection…”
Get full text

An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning by 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…”
Get full text

A network anomaly detection algorithm based on semi-supervised learning and adaptive multiclass balancing by 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…”
Get full text

PE-MCAT: Leveraging Image Sensor Fusion and Adaptive Thresholds for Semi-Supervised 3D Object Detection by 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…”
Get full text