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检索条件"任意字段=IEEE 34th Conference on Local Computer Networks"
900 条 记 录,以下是81-90 订阅
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Multi-Omics Data Integration Patient Classification Method Based on Deep Dense Residual Shrinkage Network
Multi-Omics Data Integration Patient Classification Method B...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Wenyao Li Kai Lin Yaqing Hou Qiang Zhang School of Computer of Science Dalian University of Technology Dalian China
Represented by high-throughput sequencing technology, rapid advances in omics technologies have allowed scholars to understand human diseases in a more profound and comprehensive manner. However, omics data are diffic... 详细信息
来源: 评论
Improving the Early Rumor Detection Performance of the Deep Learning Models By CGAN  34
Improving the Early Rumor Detection Performance of the Deep ...
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34th International conference on Software Engineering and Knowledge Engineering, SEKE 2022
作者: Dong, Fangmin Zhu, Yumin Wan, Shuzhen Xu, Yichun Hubei Province Engineering Technology Research Center for Construction Quality Testing Equipments China Three Gorges University Hubei Yichang443002 China College of Computer and Information Technology China Three Gorges University Hubei Yichang443002 China
Deep learning models are recently applied to detect rumors on social media based on the information in the posts. However, at the early stage of rumor propagation, due to the lack of responses, the performance of thes... 详细信息
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Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction
Optimized Echo State Network based on PSO and Gradient Desce...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Rebh Soltani Emna Benmohamed Hela Ltifi Computer Science and Mathematics Department Faculty of sciences and techniques of Sidi Bouzid University of Kairouan Tunisia Sidi bouzid Tunisia Computer Science Department Faculty of Sciences of Gafsa University of Gafsa Tunisia REsearch Groups in Intelligent Machines University of Sfax National School of Engineers (ENIS) Sfax Gafsa Tunisia Computer Science and Mathematics Department Faculty of sciences and techniques of Sidi Bouzid University of Kairouan Tunisia REsearch Groups in Intelligent Machines University of Sfax National School of Engineers (ENIS) Sfax Sidi bouzid Tunisia
Echo State Network (ESN), as a paradigm of Reservoir Computing (RC), refers to a well-known Recurrent Neural Network (RNN). Its randomly generated reservoir represents the main reason for its ability of rapid learning... 详细信息
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Weakly Supervised Anomaly localization and Segmentation of Biomarkers in OCT Images
Weakly Supervised Anomaly Localization and Segmentation of B...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Xiaoming Liu Qi Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China
Identifying biomarkers from optical coherence tomography images is critical in diagnosing and treating ophthalmic diseases. Most existing biomarker segmentation methods require pixel-level annotations for training, wh... 详细信息
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A Dilated Transformer Network for Time Series Anomaly Detection
A Dilated Transformer Network for Time Series Anomaly Detect...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Bo Wu Zhenjie Yao Yanhui Tu Yixin Chen Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education Purple Mountain Laboratories Nanjing China Institute of Microelectronics Chinese Academy of Sciences Purple Mountain Laboratories Beijing China Shandong Future Network Research Institute Purple Mountain Laboratories Beijing China Washington University in St.Louis Purple Mountain Laboratories Washington USA
Unsupervised anomaly detection for time series has been an active research area due to its enormous potential for wireless network management. Existing works have made extraordinary progress in time series representat... 详细信息
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Correlation Enhancement with Graph Convolutional Network for Pedestrian Attribute Recognition
Correlation Enhancement with Graph Convolutional Network for...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Chen Chen Zhihan Zuo Yuchun Fang Yilu Cao Yaofang Zhang School of Computer Engineering and Science. Shanghai University Shanghai China
Pedestrian attribute recognition aims to predict human attributes in surveillance video. Since the correlations are different among attribute groups, mining the correlation variation between attributes is an effective... 详细信息
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Multiscale Approach in Deep Convolutional networks for Minutia Extraction from Contactless Fingerprint Images
Multiscale Approach in Deep Convolutional Networks for Minut...
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Anderson Nogueira Cotrim Helio Pedrini Institute of Computing University of Campinas Campinas SP Brazil
Biometric identification by contactless fingerprinting has been a trend in recent years, reinforced by the pandemic of the new coronavirus (COVID-19). Contactless acquisition tends to be a more hygienic acquisition ca... 详细信息
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Distributed Support Vector Machine Based on Distributed Loss
Distributed Support Vector Machine Based on Distributed Loss
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Yuefeng Ma Mengwei Wang School of Computer Science Qufu Normal University Rizhao China
Support vector machine (SVM) is a fundamental machine learning method with solid mathematical theory and high effectiveness in many applications. Because distributed datasets are difficult to centralize, SVM is hard t... 详细信息
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Image Inpainting with Context Flow Network
Image Inpainting with Context Flow Network
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International conference on Tools for Artificial Intelligence (ICTAI)
作者: Jianwen Liu Jiarui Xue Juan Zhang Ying Yang School of Journalism and Communication Shaanxi Normal University Xi'an China School of Computer Science Shaanxi Normal University Xi'an China
Image inpainting using deep and complicated convolutional neural networks(CNN) has recently produced outstanding results. Several researchers have considered employing large receptive fields and deep networks for long... 详细信息
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Empowering Federated Graph Rationale Learning with Latent Environments  25
Empowering Federated Graph Rationale Learning with Latent En...
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34th ACM Web conference, WWW 2025
作者: Yue, Linan Liu, Qi Li, Yawen Yao, Fangzhou Gao, Weibo Du, Junping School of Computer Science and Engineering Southeast University Nanjing China State Key Laboratory of Cognitive Intelligence University of Science and Technology of China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Cognitive Intelligence University of Science and Technology of China Hefei China
the success of Graph Neural networks (GNNs) in graph classification has heightened interest in explainable GNNs, particularly through graph rationalization. this method aims to enhance GNNs explainability by identifyi... 详细信息
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