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標題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁]

作者: thyroidectomy    時間: 2025-3-21 19:15
書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學科排名





作者: arbiter    時間: 2025-3-21 22:17
Neuron Attribution-Based Attacks Fooling Object Detectors examples. Since our attack disturbs the upstream feature outputs, it effectively disorders the outputs of downstream tasks, such as box regression and classification, and finally fool the detector. Extensive experiments on PASCAL VOC and COCO dataset demonstrate that our method achieves better transferability compared to the state-of-the-arts.
作者: 存心    時間: 2025-3-22 02:44

作者: cumber    時間: 2025-3-22 07:22
Conference proceedings 2024CONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements..
作者: Project    時間: 2025-3-22 11:22

作者: 大門在匯總    時間: 2025-3-22 14:32

作者: 含糊    時間: 2025-3-22 19:44

作者: 群島    時間: 2025-3-22 23:20
Improve Conversational Search with?Multi-document Informationeed to be retrieved based on the conversation history to respond to the user. However, existing approaches still make it difficult to distinguish irrelevant information from the user’s question at the semantic level. When a conversation involves multiple documents, it sometimes affects the retrieval
作者: 委屈    時間: 2025-3-23 04:34
Recurrent Update Representation Based on?Multi-head Attention Mechanism for?Joint Entity and?Relatioever, most of the existing work only considers the information of the context in the sentence and the information of the entities, with little attention to the information of the possible relations between the entities, which may lead to the failure to extract valid triplets. In this paper, we propo
作者: 顧客    時間: 2025-3-23 09:33

作者: Sputum    時間: 2025-3-23 12:32
MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection an unsupervised manner. The difficulty of the task increases when there are acoustic differences (domain shift) between the training and testing datasets. To address these issues, this paper proposes a state-of-the-art ASD model based on self-supervised learning. Firstly, we designed an effective a
作者: miniature    時間: 2025-3-23 16:36

作者: 烤架    時間: 2025-3-23 20:17

作者: 哎呦    時間: 2025-3-24 00:18
Multi-level Feature Enhancement Method for?Medical Text Detectionvolving text-dense, extreme aspect ratios, and multi-oriented text, the current detection methods still fail to achieve satisfactory performance. In this paper, we propose an efficient and accurate text detection system that incorporates an efficient segmentation module and a learnable post-processi
作者: inhumane    時間: 2025-3-24 03:21
Neuron Attribution-Based Attacks Fooling Object Detectorstectors with different backbones or architectures. To measure the neuron attribution (importance) for a CNN layer of detector, we sum the classification scores of all positive proposal boxes to calculate the integrated attention (IA), then get the neuron attribution matrix via element-wise multiplyi
作者: 令人心醉    時間: 2025-3-24 10:20

作者: 詞根詞綴法    時間: 2025-3-24 11:04
A Joint Identification Network for?Legal Event Detection. While many studies have focused on using syntactic and relational dependencies to improve event detection, they often overlook the unique connections between trigger word candidates and their surrounding features. This paper proposes a new event detection model that addresses this issue by incorpo
作者: arsenal    時間: 2025-3-24 17:09

作者: Osteons    時間: 2025-3-24 20:00

作者: 無聊的人    時間: 2025-3-24 23:20

作者: irreparable    時間: 2025-3-25 04:41

作者: propose    時間: 2025-3-25 10:19

作者: shrill    時間: 2025-3-25 13:40

作者: 滲透    時間: 2025-3-25 17:59

作者: Epidural-Space    時間: 2025-3-25 21:22
An Interpretable Vulnerability Detection Framework Based on?Multi-task Learningproaches built with deep learning models and achieved state-of-the-art performance. However, due to the black-box characteristic of deep learning, these approaches typically have poor interpretability, making it challenging for analysts to understand the causes and mechanisms behind vulnerabilities.
作者: Ornament    時間: 2025-3-26 02:07

作者: 褻瀆    時間: 2025-3-26 07:50
Yibo Gao,Zhen Liu,Xinxin Yang,Yilin Ding,Sibo Lu,Ying Mamitiven, also von der Sprache vorgegebenen Datentypen umfassen. Hier diskutieren wir die aus Pascal oder LISP bekannten Datentypen . (also Zeichenketten) und .; dies geschieht zun?chst durch die Angabe der Typen, einfache Beispiele, und durch die Diskussion der darauf definierten Standardfunktionen.
作者: aesthetician    時間: 2025-3-26 10:53
Shiwen Sun,Hongxi Wei,Yiming Wangcle in order to be first to market will give a company an important com- petitive edge. " -James Martin The market conditions of the 21 st century put business under continual pressure. The most successful companies are those who are able to reduce their time to market, to launch initiatives before
作者: CHOP    時間: 2025-3-26 14:42
Jiaqiyu Zhan,Yuesheng Zhunt life cycle in order to be first to market will give a company an important com- petitive edge. " -James Martin The market conditions of the 21 st century put business under continual pressure. The most successful companies are those who are able to reduce their time to market, to launch initiativ
作者: 團結(jié)    時間: 2025-3-26 20:42

作者: antidote    時間: 2025-3-26 21:07
Zhen Gao,Liyou Wang,Jingning Xu,Rongjie Yu,Li Wangystems support management, production, and service functions in diverse organisations. Furthermore, the products and services now offered by the non-IT sectors, e.g., the automotive industry or the consumer electronics industry, increasingly contain a component of sophisticated software. For example
作者: 無法治愈    時間: 2025-3-27 03:09
Mengda Liu,Guibo Luo,Yuesheng Zhund Soft- ware Initiative (ESSI) was part ofthe ESPRIT Programme. This initiative funded more than 470 projects in the area ofsoftware and system process improvements. The majority of these projects were process improvement experiments carrying out and taking up new development processes, methods and
作者: TEM    時間: 2025-3-27 07:35

作者: harrow    時間: 2025-3-27 10:25

作者: judiciousness    時間: 2025-3-27 16:05
Neural Information Processing978-981-99-8178-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 打算    時間: 2025-3-27 20:00
Communications in Computer and Information Sciencehttp://image.papertrans.cn/n/image/663599.jpg
作者: FLIP    時間: 2025-3-28 00:23

作者: strdulate    時間: 2025-3-28 05:19

作者: 使人入神    時間: 2025-3-28 07:14
Shengjie Jia,Jikun Dong,Kaifang Long,Jiran Zhu,Hongyun Du,Guijuan Zhang,Hui Yu,Weizhi Xu
作者: Stricture    時間: 2025-3-28 11:20

作者: 花費    時間: 2025-3-28 16:11
Shuyu Jiang,Dengbiao Tu,Xingshu Chen,Rui Tang,Wenxian Wang,Haizhou Wang
作者: connoisseur    時間: 2025-3-28 19:57
Improve Conversational Search with?Multi-document Informationng data for extracting multiple document information. We further present the Passage-Segment-Document (PSD) post-training method to train the reranker using the extracted multi-document information in combination with a multi-task learning method. The results on the MultiDoc2Dial dataset verifies th
作者: Odyssey    時間: 2025-3-29 00:46
Recurrent Update Representation Based on?Multi-head Attention Mechanism for?Joint Entity and?Relatiooach we are able to leverage the relationship information between entities for relational triple extraction. Our experimental results on four public datasets show that our approach is effective and the model outperforms all baseline models.
作者: headway    時間: 2025-3-29 06:46

作者: 掙扎    時間: 2025-3-29 10:05

作者: 補助    時間: 2025-3-29 14:28
Decoupling Style from?Contents for?Positive Text Reframingunes the model for the input sequence with two special symbols to decouple style from the contents. We apply contrastive learning to enhance the model that learns a more robust contextual representation. The experimental results on the PPF dataset, show that our approach outperforms baselines by fin
作者: 繼承人    時間: 2025-3-29 16:49

作者: GNAT    時間: 2025-3-29 23:34

作者: adulterant    時間: 2025-3-30 01:44

作者: libertine    時間: 2025-3-30 04:49

作者: enormous    時間: 2025-3-30 10:41
A Hybrid Approach Using Convolution and?Transformer for?Mongolian Ancient Documents Recognitionommon characters while neglecting rare characters. Our proposed approach integrates focal loss to enhance the model’s attention towards rare characters, thereby improving the overall recognition performance of the model for all characters. After training, the model is capable of rapidly and efficien
作者: Fortuitous    時間: 2025-3-30 12:24
Incomplete Multi-view Subspace Clustering Using Non-uniform Hyper-graph for?High-Order Informationdge is decided based on the distribution of the corresponding center point. This is a simple but effective way to utilize high-order information without bringing computational burden and extra parameters. Besides the advantage that the partial samples can be reconstructed more reasonably, our method
作者: famine    時間: 2025-3-30 16:47
Deep Learning-Empowered Unsupervised Maritime Anomaly Detectionsiduals, enabling image-level anomaly detection. Furthermore, pixel-level anomaly detection is achieved by analyzing the residuals of the reconstructed image pixels to localize the anomalous trajectory. The proposed method is compared to autoencoder (AE) and variational autoencoder (VAE) model, and
作者: 萬靈丹    時間: 2025-3-31 00:15
Hazardous Driving Scenario Identification with?Limited Training Samplesm the advantages of augmented samples, we can leverage a more sophisticated ResNet architecture for feature extraction from compressed dashcam videos called motion profiles to identify hazardous driving scenarios. By incorporating the augmented samples into the training set, the AUC of the proposed
作者: VEIL    時間: 2025-3-31 02:17

作者: 灌輸    時間: 2025-3-31 05:38

作者: 好忠告人    時間: 2025-3-31 12:10
Jianqiang Jing,Bing Jia,Baoqi Huang,Lei Liu,Xiao Yangt ist (der Typ von Variablen also erst zur Laufzeit festgestellt wird). Daher ist es für den Programmierer mitunter n?tig, den Typ einer Variablen in einem Programm untersuchen zu k?nnen. Die entsprechenden Hilfsmittel werden ebenfalls hier bereitgestellt. An dieser Stelle stehen schon genug Hilfsmi
作者: Pcos971    時間: 2025-3-31 16:56

作者: 時代    時間: 2025-3-31 21:34

作者: gruelling    時間: 2025-3-31 23:16





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