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Home > Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I > Self-supervised Learning for Semi-supervised Time Series Classification
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I |
Hady W. Lauw; Raymond Chi-Wing Wong; Alexandros Ntoulas; Ee-Peng Lim; See-Kiong Ng; Sinno Jialin Pan
Springer International Publishing
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I
Self-supervised Learning for Semi-supervised Time Series Classification
Authors

Shayan Jawed; Josif Grabocka; Lars Schmidt-Thieme

ARI Id

1665253556724_5574906

Access

Not Available Free

Pages

499-511

DOI

10.1007/978-3-030-47426-3_39

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-47426-3_39

Table of Contents of Book
Showing 1 to 20 of 78 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxxvii
Front Matter
1-1
Fashion Recommendation with Multi-relational Representation Learning
Yang Li; Yadan Luo; Zi Huang
3-15
Off-Policy Recommendation System Without Exploration
Chengwei Wang; Tengfei Zhou; Chen Chen; Tianlei Hu; Gang Chen
16-27
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation
M. Vijaikumar; Shirish Shevade; M. Narasimha Murty
28-40
Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering
Gianni Costa; Riccardo Ortale
41-52
Relation Embedding for Personalised Translation-Based POI Recommendation
Xianjing Wang; Flora D. Salim; Yongli Ren; Piotr Koniusz
53-64
FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode
Dimitris Paraschakis; Bengt J. Nilsson
65-77
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences
Bonhun Koo; Hyunsik Jeon; U Kang
78-90
A Hybrid Recommendation for Music Based on Reinforcement Learning
Yu Wang
91-103
Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation
Xiaodong Wang; Zhen Liu; Nana Wang; Wentao Fan
104-117
Modeling Users’ Multifaceted Interest Correlation for Social Recommendation
Hao Wang; Huawei Shen; Xueqi Cheng
118-129
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation
Hao Wang; Huawei Shen; Xueqi Cheng
130-141
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
Zhifeng Xie; Wenling Zhang; Huiming Ding; Lizhuang Ma
142-154
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
Weiwen Liu; Feng Liu; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng Ann Heng
155-167
Joint Relational Dependency Learning for Sequential Recommendation
Xiangmeng Wang; Qian Li; Wu Zhang; Guandong Xu; Shaowu Liu; Wenhao Zhu
168-180
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
Xin Zhou; Zhu Sun; Guibing Guo; Yuan Liu
181-193
Front Matter
195-195
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang; Yanan Cao; Zhenyu Zhang; Jiangxia Cao; Fang Fang; Shi Wang et al.
197-209
Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition
Tong Wu; Yiqiang Chen; Yang Gu; Jiwei Wang; Siyu Zhang; Zhanghu Zhechen
210-221
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 78 entries
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