图 书 馆开课单位--IDA 2020
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182 - Even Faster Exact k-Means Clustering (Part 1 - Short Version, Part 2 - Full Version)[82-更快的精确k-均值聚类（第1部分-简短版本，第2部分-完整版本）]
(IDA 2020) 82 - Even Faster Exact k-Means Clustering (Part 1 - Short Version, Part 2 - Full Version)
热度：48
(IDA 2020) 82 - Even Faster Exact k-Means Clustering (Part 1 - Short Version, Part 2 - Full Version)
热度：48
254 - Dual Sequential Variational Autoencoders For Fraud Detection[54-用于欺诈检测的双顺序变分自动编码器]
(IDA 2020) 54 - Dual Sequential Variational Autoencoders For Fraud Detection
热度：43
(IDA 2020) 54 - Dual Sequential Variational Autoencoders For Fraud Detection
热度：43
318 - Digital footporints of international migration on Twitter[18-推特上国际移民的数字足迹]
(IDA 2020) 18 - Digital footporints of international migration on Twitter
热度：85
(IDA 2020) 18 - Digital footporints of international migration on Twitter
热度：85
462 - A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks presentation[62-一种分析图神经网络表示的表达性和准确性的原则性方法]
(IDA 2020) 62 - A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks presentation
热度：66
(IDA 2020) 62 - A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks presentation
热度：66
558 - Actionable Subgroup Discovery and Urban Farm Optimization[58-可操作的子组发现和城市农场优化]
(IDA 2020) 58 - Actionable Subgroup Discovery and Urban Farm Optimization
热度：40
(IDA 2020) 58 - Actionable Subgroup Discovery and Urban Farm Optimization
热度：40
628 - A Late-fusion Approach to Community Detection in Attributed Networks[28-一种用于属性网络中社区检测的后期融合方法]
(IDA 2020) 28 - A Late-fusion Approach to Community Detection in Attributed Networks
热度：35
(IDA 2020) 28 - A Late-fusion Approach to Community Detection in Attributed Networks
热度：35
760 - Gibbs sampling subjectively interesting tiles[60-吉布斯采样主观有趣的瓷砖]
(IDA 2020) 60 - Gibbs sampling subjectively interesting tiles
热度：44
(IDA 2020) 60 - Gibbs sampling subjectively interesting tiles
热度：44
867 - Supervised Phrase-boundary Embeddings[67-监督短语边界嵌入]
(IDA 2020) 67 - Supervised Phrase-boundary Embeddings
热度：52
(IDA 2020) 67 - Supervised Phrase-boundary Embeddings
热度：52
987 - Angle-based Crowding Degree Estimation for Many-Objective Optimization[87-基于角度的多目标优化拥挤度估计]
(IDA 2020) 87 - Angle-based Crowding Degree Estimation for Many-Objective Optimization
热度：46
(IDA 2020) 87 - Angle-based Crowding Degree Estimation for Many-Objective Optimization
热度：46
1027 - Orometric Methods in Bounded Metric Data[27-造山方法和有界度量数据]
(IDA 2020) 27 - Orometric Methods in Bounded Metric Data
热度：43
(IDA 2020) 27 - Orometric Methods in Bounded Metric Data
热度：43