audiogram
发表于 2025-3-21 18:01:44
书目名称Innovations for Community Services影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0467011<br><br> <br><br>书目名称Innovations for Community Services读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0467011<br><br> <br><br>
Spongy-Bone
发表于 2025-3-21 20:34:35
https://doi.org/10.1007/978-3-319-60447-3ad hoc networks; algorithms; applied computing; artificial intelligence; data mining; information retriev
摇晃
发表于 2025-3-22 00:28:55
Gerald Eichler,Christian Erfurth,Günter FahrnbergeIncludes supplementary material:
humectant
发表于 2025-3-22 07:04:11
http://reply.papertrans.cn/47/4671/467011/467011_4.png
撕裂皮肉
发表于 2025-3-22 10:10:51
http://reply.papertrans.cn/47/4671/467011/467011_5.png
不法行为
发表于 2025-3-22 13:04:01
Innovations for Community Services978-3-319-60447-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
臆断
发表于 2025-3-22 19:02:56
http://reply.papertrans.cn/47/4671/467011/467011_7.png
扩音器
发表于 2025-3-22 21:30:12
Towards the Automatic Sentiment Analysis of German News and Forum Documentslenging task due to the domain-specific language style and the variety of sentiment indicators. The basis for learning powerful sentiment classifiers are annotated datasets, but for many domains and especially with non-English texts hardly any datasets exist. In order to support the development of s
Handedness
发表于 2025-3-23 04:32:11
Concept of Observer to Detect Special Cases in a Multidimensional Datasetequire specific processing in social networks, medical applications or complex processes. This paper proposes to use the observer’s paradigm to detect special cases in a multidimensional data space. Thus the observations allow to define the neighborhoods of data. Then we propose a rareness index for
FECT
发表于 2025-3-23 06:36:46
http://reply.papertrans.cn/47/4671/467011/467011_10.png