IEEE transactions on neural networks and learning systems最新文献

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GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model GenSafe:基于精简马尔可夫决策过程模型的安全强化学习算法的通用安全增强器
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-25 DOI: 10.1109/tnnls.2024.3496492
Zhehua Zhou, Xuan Xie, Jiayang Song, Zhan Shu, Lei Ma
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引用次数: 0
Boundary-Aware Axial Attention Network for High-Quality Pavement Crack Detection 用于高质量路面裂缝检测的边界感知轴向注意力网络
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-22 DOI: 10.1109/tnnls.2024.3497145
Kunlun Wu, Bo Peng, Donghai Zhai
{"title":"Boundary-Aware Axial Attention Network for High-Quality Pavement Crack Detection","authors":"Kunlun Wu, Bo Peng, Donghai Zhai","doi":"10.1109/tnnls.2024.3497145","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3497145","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"19 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Decoupled Prioritized Resampling for Offline RL 离线 RL 的解耦优先重采样
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-21 DOI: 10.1109/tnnls.2024.3488358
Yang Yue, Bingyi Kang, Xiao Ma, Qisen Yang, Gao Huang, Shiji Song, Shuicheng Yan
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引用次数: 0
Granular Ball Twin Support Vector Machine 粒状球双支持向量机
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-21 DOI: 10.1109/tnnls.2024.3476391
A. Quadir, M. Sajid, M. Tanveer
{"title":"Granular Ball Twin Support Vector Machine","authors":"A. Quadir, M. Sajid, M. Tanveer","doi":"10.1109/tnnls.2024.3476391","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3476391","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"71 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gently Sloped and Extended Classification Margin for Overconfidence Relaxation of Out-of-Distribution Samples 用于放宽分布外样本过度置信度的平缓倾斜和扩展分类保证金
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-20 DOI: 10.1109/tnnls.2024.3496473
Taewook Kim, Jong-Seok Lee
{"title":"Gently Sloped and Extended Classification Margin for Overconfidence Relaxation of Out-of-Distribution Samples","authors":"Taewook Kim, Jong-Seok Lee","doi":"10.1109/tnnls.2024.3496473","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3496473","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"73 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation NNG-Mix:利用伪异常生成改进半监督异常检测
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-20 DOI: 10.1109/tnnls.2024.3497801
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni Chatzi, Olga Fink
{"title":"NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation","authors":"Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni Chatzi, Olga Fink","doi":"10.1109/tnnls.2024.3497801","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3497801","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"14 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning 用于无监督泛化表征学习的自适应图卷积网络
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-20 DOI: 10.1109/tnnls.2024.3488087
Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li
{"title":"Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning","authors":"Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li","doi":"10.1109/tnnls.2024.3488087","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3488087","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"57 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Alleviate the Impact of Heterogeneity in Network Alignment From Community View 从社区视角缓解网络整合中的异质性影响
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-19 DOI: 10.1109/tnnls.2024.3491892
Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Lin Pan
{"title":"Alleviate the Impact of Heterogeneity in Network Alignment From Community View","authors":"Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Lin Pan","doi":"10.1109/tnnls.2024.3491892","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3491892","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"251 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model 利用自监督扩散模型对交通排放进行时空推算
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-19 DOI: 10.1109/tnnls.2024.3495990
Lihong Pei, Yang Cao, Yu Kang, Zhenyi Xu, Qianming Liu
{"title":"Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model","authors":"Lihong Pei, Yang Cao, Yu Kang, Zhenyi Xu, Qianming Liu","doi":"10.1109/tnnls.2024.3495990","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3495990","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"15 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate 延迟存储单元:通过延迟门模拟时间依赖性
IF 10.4 1区 计算机科学
IEEE transactions on neural networks and learning systems Pub Date : 2024-11-19 DOI: 10.1109/tnnls.2024.3490833
Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
{"title":"Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate","authors":"Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren","doi":"10.1109/tnnls.2024.3490833","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3490833","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"53 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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