开课单位--PADDD 2020-新加坡
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1
Hydrological Process Surrogate Modelling and Simulation with Neural Networks[基于神经网络的水文过程代理建模与仿真]
  Ruixi Zhang(PADDD 2020-新加坡) Hydrological Process Surrogate Modelling and Simulation with Neural Networks
热度：9

2
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features[利用元迁移特征理解迁移学习算法]
  Xin-Chun Li(PADDD 2020-新加坡) Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features
热度：12

3
JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment[JarKA：跨语言知识对齐的属性交互建模]
  Bo Chen(PADDD 2020-新加坡) JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment
热度：14

4
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization[AutoSUM：实体摘要的自动特征提取和多用户偏好模拟]
  Dongjun Wei(PADDD 2020-新加坡) AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
热度：27

5
Estimation of Conditional Mixture Weibull Distribution with Right-Censored Data using Neural Network for Time-to-Event Analysis[估计具有正确筛选数据的条件混合威布尔分布]
  Achraf Bennis(PADDD 2020-新加坡) Estimation of Conditional Mixture Weibull Distribution with Right-Censored Data using Neural Network for Time-to-Event Analysis
热度：19

6
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generatio[6GCVAE：用于IPv6目标生成的门控卷积变分自编码器]
  Gaopeng Gou(PADDD 2020-新加坡) 6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generatio
热度：14

7
DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks[DELAFO：一种基于深度神经网络的高效投资组合优化]
  Thanh Binh Nguyen(PADDD 2020-新加坡) DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks
热度：25

8
Exploiting the Matching Information in the Support Set for Few Shot Event Classification[利用支持集中的匹配信息进行少镜头事件分类]
  Achraf Bennis(PADDD 2020-新加坡) Exploiting the Matching Information in the Support Set for Few Shot Event Classification
热度：20

9
PhosTransfer: a deep transfer learning framework for kinase-specific phosphorylation site prediction in hierarchy[用于激酶特异性磷酸化位点层次预测的深度转移学习框架]
  Ying Xu(PADDD 2020-新加坡) PhosTransfer: a deep transfer learning framework for kinase-specific phosphorylation site prediction in hierarchy
热度：28

10
Anomaly Detection via Neighbourhood Contrast[通过邻域对比进行异常检测]
  Bo Chen(PADDD 2020-新加坡) Anomaly Detection via Neighbourhood Contrast
热度：10
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