派博傳思國(guó)際中心

標(biāo)題: Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa [打印本頁(yè)]

作者: ODE    時(shí)間: 2025-3-21 20:03
書(shū)目名稱Neural Information Processing影響因子(影響力)




書(shū)目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書(shū)目名稱Neural Information Processing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Neural Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Neural Information Processing被引頻次




書(shū)目名稱Neural Information Processing被引頻次學(xué)科排名




書(shū)目名稱Neural Information Processing年度引用




書(shū)目名稱Neural Information Processing年度引用學(xué)科排名




書(shū)目名稱Neural Information Processing讀者反饋




書(shū)目名稱Neural Information Processing讀者反饋學(xué)科排名





作者: 摘要    時(shí)間: 2025-3-21 22:21
Neural Information Processing978-3-319-26561-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 天氣    時(shí)間: 2025-3-22 02:27
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663601.jpg
作者: BILIO    時(shí)間: 2025-3-22 05:46
https://doi.org/10.1007/978-3-319-26561-2biometrics; data mining; genetic algorithm; pattern recognition; semantic Web; artificial neural networks
作者: 違法事實(shí)    時(shí)間: 2025-3-22 11:07
Sabri Arik,Tingwen Huang,Qingshan LiuIncludes supplementary material:
作者: 拍翅    時(shí)間: 2025-3-22 15:37

作者: instate    時(shí)間: 2025-3-22 17:34

作者: chiropractor    時(shí)間: 2025-3-22 23:58
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation,f such links. By analysing the structure of link network, researchers have proposed several methods for solving link prediction. Nowdays, when some members label their link values, they also make comments, which have been seldom considered for link prediction. In this paper, by considering both the
作者: 我要沮喪    時(shí)間: 2025-3-23 03:53

作者: Insensate    時(shí)間: 2025-3-23 09:19
A Multichannel Deep Belief Network for the Classification of EEG Data,rm. It has been successfully applied to a number of classification problems, such as image classification, speech recognition and natural language processing. However, deep learning has not been fully explored in electroencephalogram (EEG) classification. We propose in this paper three implementatio
作者: 返老還童    時(shí)間: 2025-3-23 10:24
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors,local dependency characteristics. Moreover, activities tend to be hierarchical and translation invariant in nature. Consequently, convolutional neural networks (convnet) exploit these characteristics, which make it appropriate in dealing with time-series sensor data. In this paper, we propose an arc
作者: Assault    時(shí)間: 2025-3-23 15:48
Concentration Monitoring with High Accuracy but Low Cost EEG Device,rocessing in human brain. To understand the concentration process of humans, the underlying neural mechanism needs to be explored. EEG device is a promising device to understand underlying neural mechanism of various cognitive functions. In this paper, we propose an accurate concentration monitoring
作者: Cosmopolitan    時(shí)間: 2025-3-23 20:52

作者: 保留    時(shí)間: 2025-3-24 01:43

作者: 有效    時(shí)間: 2025-3-24 05:20
A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder,iency during diagnosis of psychiatric conditions, e.g., major depressive disorder (MDD). In literature, various EEG references have been proposed, however, none of them is considered as gold-standard [.]. Therefore, this study aims to evaluate 3 EEG references including infinity reference (IR), aver
作者: 黑豹    時(shí)間: 2025-3-24 08:20

作者: 記憶    時(shí)間: 2025-3-24 14:21
Enhancing Performance of EEG-based Emotion Recognition Systems Using Feature Smoothing,that the correlation between EEG and emotion characteristics is not taken into account. There are the differences among EEG features, even with the same emotion state in adjacent time because EEG extracted features usually change dramatically, while emotion states vary gradually or smoothly. In addi
作者: 肌肉    時(shí)間: 2025-3-24 16:57

作者: 蔓藤圖飾    時(shí)間: 2025-3-24 20:53
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases,al approaches have been proposed for mining high significance frequent itemsets over uncertain data, however, previous algorithms yield many redundant frequent itemsets and require to set an appropriate user specified threshold which is difficult for users. In this paper, we formally define the prob
作者: jumble    時(shí)間: 2025-3-25 00:05

作者: 改良    時(shí)間: 2025-3-25 04:50
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data,resent study is to utilize computational intelligence technique for predicting pressure drop due to cars in traffic congestion in urban tunnels. A supervised feed forward back propagation neural network is utilized to estimate this pressure drop. The performance of the proposed network structure is
作者: 翅膀拍動(dòng)    時(shí)間: 2025-3-25 11:33

作者: Heart-Attack    時(shí)間: 2025-3-25 15:42
A MapReduce Based Technique for Mining Behavioral Patterns from Sensor Data,assessing the importance of patterns in WSN data. A frequent sensor pattern that occurs after regular intervals in WSNs is called regularly frequent sensor patterns (RFSPs). Existing RFSPs techniques assume that the data structure of the mining task is small enough to fit in the main memory of a pro
作者: 加花粗鄙人    時(shí)間: 2025-3-25 17:09
A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Beration technique relies on imitating the relationships between real EEG data spatially distributed over a closed-circle. The constructed synthetic dataset establishes ground truth that can be used to test different source separation techniques. The work then evaluates three projection techniques –
作者: transdermal    時(shí)間: 2025-3-25 23:48

作者: Senescent    時(shí)間: 2025-3-26 02:03

作者: Canyon    時(shí)間: 2025-3-26 07:58

作者: 庇護(hù)    時(shí)間: 2025-3-26 08:34
Feng Liu,Bingquan Liu,Chengjie Sun,Ming Liu,Xiaolong Wangthe time and effort on developing and maintaining their own. However, purchasing the wrong COTS solution can lead to a painful and company-critical process as well. . Within this context, the absence of a both repeatable as well as pragmatic approach for the selection of a suitable third-party tool
作者: MIR    時(shí)間: 2025-3-26 15:19

作者: 未成熟    時(shí)間: 2025-3-26 18:56

作者: 套索    時(shí)間: 2025-3-26 21:52

作者: Entropion    時(shí)間: 2025-3-27 03:15
Jun-Su Kang,Amitash Ojha,Minho Lee scaling and processing capabilities of machine intelligence. To ensure effective collaboration between human and AI team members, we envision a software-driven coordination mechanism that orchestrates the interactions between the participants in Human-AI teaming scenarios and help to synchronize th
作者: 小爭(zhēng)吵    時(shí)間: 2025-3-27 06:08
Yong-Qi Zhang,Wei-Long Zheng,Bao-Liang Luntinuous effort. Laws formulate demands for quality properties in ambiguous language, requiring substantial interpretation. Industry standards provide support, but remain generic and applicable to heterogeneous company IS contexts. Before compliance measures can be implemented in software assets and
作者: 休息    時(shí)間: 2025-3-27 13:09
Trung Duy Pham,Dat Tran,Wanli Maevidence on how ML-enabled systems are engineered in practice is still limited; this is especially true for activities surrounding ML model dissemination. [Goal] We investigate contemporary industrial practices and problems related to ML model dissemination, focusing on the model deployment and the
作者: 偽善    時(shí)間: 2025-3-27 14:39
Wajid Mumtaz,Aamir Saeed Malik,Syed Saad Azhar Ali,Mohd Azhar Mohd Yasinthe time and effort on developing and maintaining their own. However, purchasing the wrong COTS solution can lead to a painful and company-critical process as well. . Within this context, the absence of a both repeatable as well as pragmatic approach for the selection of a suitable third-party tool
作者: Cytology    時(shí)間: 2025-3-27 21:21
Sherif Haggag,Shady Mohamed,Omar Haggag,Saeid Nahavandi scaling and processing capabilities of machine intelligence. To ensure effective collaboration between human and AI team members, we envision a software-driven coordination mechanism that orchestrates the interactions between the participants in Human-AI teaming scenarios and help to synchronize th
作者: MEET    時(shí)間: 2025-3-28 01:17
Trung Duy Pham,Dat Tran,Wanli Ma,Nga Thuy Tran it is usually performed in different aspects such as user interface, functionality, interface compatibility, load/stress, security, etc. After carefully reviewing the current literature of website evaluation up to this stage, we find that performance issues of web sites now attract much more attent
作者: BLANK    時(shí)間: 2025-3-28 05:13
Keith Douglas Stuart,Maciej Majewskine of the most frequently used refactorings. Nevertheless, sometimes developers refrain from applying it because identifying an appropriate set of statements that can be extracted into a new method is error-prone and time-consuming..In a previous work, we presented a method that could be used to aut
作者: Insensate    時(shí)間: 2025-3-28 07:15
Haishuai Wang,Peng Zhang,Jia Wu,Shirui Pannsure quality of software, but there is a lack of common knowledge and best practices on it. . The goal of this paper is to investigate the state-of-practice of quality assurance during the implementation phase in software houses. . For this purpose, we conducted a survey in Germany, Austria, and Sw
作者: outskirts    時(shí)間: 2025-3-28 12:03
Zakariyah Shoroye,Waheeb Yaqub,Azhar Ahmed Mohammed,Zeyar Aung,Davor Svetinovicne of the most frequently used refactorings. Nevertheless, sometimes developers refrain from applying it because identifying an appropriate set of statements that can be extracted into a new method is error-prone and time-consuming..In a previous work, we presented a method that could be used to aut
作者: mighty    時(shí)間: 2025-3-28 18:03
Esmaeel Eftekharian,Amin Khatami,Abbas Khosravi,Saeid Nahavandiva code. The code conversion itself is now automated but not completely. The human reengineer still has to make some adjustments to the automatically generated code and that can lead to errors. These may also be subtle errors in the automated transformation. Therefore, converted code must be tested
作者: 偏狂癥    時(shí)間: 2025-3-28 19:10

作者: 反復(fù)無(wú)常    時(shí)間: 2025-3-29 02:15
Md. Mamunur Rashid,Iqbal Gondal,Joarder Kamruzzamannsure quality of software, but there is a lack of common knowledge and best practices on it. . The goal of this paper is to investigate the state-of-practice of quality assurance during the implementation phase in software houses. . For this purpose, we conducted a survey in Germany, Austria, and Sw
作者: 冒失    時(shí)間: 2025-3-29 05:53

作者: FILLY    時(shí)間: 2025-3-29 08:08
Deep Feature-Action Processing with Mixture of Updates,e first layer. We show that this mixture of updates seems to work well for this model. The features layer have been deeply trained by applying a simple PCA on the whole set of images histograms acquired during the first running episode. The model is also able to adapt to a reduced features dimension
作者: MAG    時(shí)間: 2025-3-29 13:40
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors,e can also benefit from a wider filter size and lower pooling size setting. Lastly, we show that convnet outperforms all the other state-of-the-art techniques in HAR, especially SVM, which achieved the previous best result for the data set.
作者: 仇恨    時(shí)間: 2025-3-29 17:55

作者: Dawdle    時(shí)間: 2025-3-29 20:40
A Proposed Blind DWT-SVD Watermarking Scheme for EEG Data,SVD technique, our proposed method achieved blind detection of watermark in which the receiver does not require the original EEG signal to retrieve the watermark. Experimental results show that the proposed EEG watermarking approach maintains the high quality of the EEG signal.
作者: 消音器    時(shí)間: 2025-3-30 02:13
A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder,ds powers were computed. These EEG features were used as input data to train and test the logistic regression (LR) classifier and the linear kernel support vector machine (SVM). Finally, the results were presented as classification accuracies, sensitivities, and specificities while discriminating th
作者: 等級(jí)的上升    時(shí)間: 2025-3-30 04:07

作者: 情感    時(shí)間: 2025-3-30 10:52

作者: PURG    時(shí)間: 2025-3-30 12:23

作者: 陪審團(tuán)每個(gè)人    時(shí)間: 2025-3-30 20:13
Exploring Social Contagion in Open-Source Communities by Mining Software Repositories,f commits in the online repository was found to follow the “power law”. By considering only large projects, a correlation between the number of followers a user has and the contagion rate of their commits was observed. Understanding these questions and social contagion can help software companies to
作者: ACTIN    時(shí)間: 2025-3-30 23:58
A MapReduce Based Technique for Mining Behavioral Patterns from Sensor Data,ution. In this work, we propose a regularly frequent sensor patterns mining algorithm called RFSP-H which uses MapReduce based framework. Extensive performance analyses show that our technique is significantly time efficient in finding regularly frequent sensor patterns.
作者: 一大塊    時(shí)間: 2025-3-31 02:38
A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Bential evolution as a global optimisation method to approximate the “ideal” transform that need to be discovered by a source separation technique. We then compared this transformation with the findings of PCA, ICA and CCA. Results show that all three techniques do not provide optimal separation betw
作者: Abominate    時(shí)間: 2025-3-31 05:05

作者: EXCEL    時(shí)間: 2025-3-31 09:43
Abdulrahman Altahhan that 99% uptime is good, not poor performance in today’s commercial Internet world. Reasons for failures are explained and many examples of real-world problems are used to illustrate issues covering network design and implementation, hardware and software technology as well as design and management
作者: PALMY    時(shí)間: 2025-3-31 17:02

作者: CODE    時(shí)間: 2025-3-31 19:53
Feng Liu,Bingquan Liu,Chengjie Sun,Ming Liu,Xiaolong Wangof the whole organization. . The application at Munich Re indicates the feasibility of the approach for the selection of a medium sized software solution. . We encourage practitioners to extend the presented method and incorporate it into their own decision-making process for third-party tools, with
作者: cavity    時(shí)間: 2025-4-1 01:13

作者: Extricate    時(shí)間: 2025-4-1 05:10
Alaa M. Al-kaysi,Ahmed Al-Ani,Tjeerd W. Boonstrathe similarity-based and the frame-based splitting techniques were applied, respectively. However, the object-based splitting technique produces the worst mAP score (0.118). . There are significant differences in the performance of object detection methods when applying different data-splitting tech
作者: PHAG    時(shí)間: 2025-4-1 09:41

作者: nitric-oxide    時(shí)間: 2025-4-1 14:13

作者: kyphoplasty    時(shí)間: 2025-4-1 17:33
Yong-Qi Zhang,Wei-Long Zheng,Bao-Liang Luiant? We illustrate the complexity of assuring compliance in a qualitative case study with a European, software-driven corporation in the financial industry. Through modeling of an example of annual audits and analyzing literature, we describe the perspectives of the involved stakeholders with their
作者: misanthrope    時(shí)間: 2025-4-1 21:48
Trung Duy Pham,Dat Tran,Wanli Malems applying open and axial coding procedures. [Results] Practitioners perceive the model deployment and monitoring phases as relevant and difficult. With respect to model deployment, models are typically deployed as separate services, with limited adoption of MLOps principles. Reported problems in
作者: CAGE    時(shí)間: 2025-4-2 02:28

作者: 詞匯    時(shí)間: 2025-4-2 06:23
Sherif Haggag,Shady Mohamed,Omar Haggag,Saeid Nahavandiss models into a knowledge graph structure and linking them to contextual background knowledge, we facilitate the monitoring of variations in process executions and inference of new insights during runtime. Knowledge graphs are a powerful tool for semantic integration of diverse data, thereby signif




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