独裁者
发表于 2025-3-21 16:11:20
书目名称Machine Learning and Knowledge Discovery in Databases影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620494<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620494<br><br> <br><br>
debris
发表于 2025-3-21 22:08:03
: Probabilistic Lineup Evaluation Through Network Embeddingich stands for LINeup NETwork). . exploits the dynamics of a directed network that captures the performance of lineups during their matchups. The nodes of this network represent the different lineups, while an edge from node B to node A exists if lineup . has outperformed lineup .. We further annota
Hyperplasia
发表于 2025-3-22 02:13:55
Improving Emotion Detection with Sub-clip Boostingion detection from voice promises to transform a wide range of applications, from adding emotional-awareness to voice assistants, to creating more sensitive robotic helpers for the elderly. Unfortunately, due to individual differences, emotion expression varies dramatically, making it a challenging
BALE
发表于 2025-3-22 06:19:27
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eucalyptus
发表于 2025-3-22 09:39:34
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youthing assistance across the nation. Despite these efforts, the number of youth still homeless or unstably housed remains very high. Motivated by this fact, we initiate a first study to understand and analyze the current governmental housing systems for homeless youth. In this paper, we aim to provide
Abutment
发表于 2025-3-22 14:21:31
Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Gtinct signals grew too large to be analyzed manually. During development of a car only subsets of such signals are relevant per analysis and functional group. Moreover, historical growth led to redundancies in signal specifications which need to be discovered. Both tasks can be solved through the di
committed
发表于 2025-3-22 18:25:47
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Counteract
发表于 2025-3-22 22:11:31
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澄清
发表于 2025-3-23 04:43:59
Intent-Aware Audience Targeting for Ride-Hailing Services for a particular message) for ride-hailing services is demanding for marketing campaigns. In this paper, we describe the details of our deployed system for intent-aware audience targeting on Baidu Maps for ride-hailing services. The objective of the system is to predict user intent for requesting
剥皮
发表于 2025-3-23 08:39:05
A Recurrent Neural Network Survival Model: Predicting Web User Return Time site. Essential to this is predicting . a user will return. Current state of the art approaches to solve this problem come in two flavors: (1) Recurrent Neural Network (RNN) based solutions and (2) survival analysis methods. We observe that both techniques are severely limited when applied to this