Abstract is missing.
- AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network EmbeddingLei Sang, Min Xu 0001, Shengsheng Qian, Xindong Wu 0001. 3-14 [doi]
- NEAR: Normalized Network Embedding with Autoencoder for Top-K Item RecommendationDedong Li, Aimin Zhou, Chuan Shi. 15-26 [doi]
- Ranking Network Embedding via Adversarial LearningQuanyu Dai, Qiang Li, Liang Zhang, Dan Wang. 27-39 [doi]
- Selective Training: A Strategy for Fast Backpropagation on Sentence EmbeddingsJan Neerbek, Peter Dolog, Ira Assent. 40-53 [doi]
- Extracting Keyphrases from Research Papers Using Word EmbeddingsWei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang. 54-67 [doi]
- Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian ApproachTiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie. 68-80 [doi]
- SSNE: Status Signed Network EmbeddingChunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang 0002. 81-93 [doi]
- On the Network Embedding in Sparse Signed NetworksAyan Kumar Bhowmick, Koushik Meneni, Bivas Mitra. 94-106 [doi]
- MSNE: A Novel Markov Chain Sampling Strategy for Network EmbeddingRan Wang, Yang Song, Xinyu Dai. 107-118 [doi]
- Auto-encoder Based Co-training Multi-view Representation LearningRunkun Lu, Jian-Wei Liu, Yuan-Fang Wang, Hao-jie Xie, Xin Zuo. 119-130 [doi]
- Robust Semi-supervised Representation Learning for Graph-Structured DataLan-Zhe Guo, Tao Han, Yu-Feng Li. 131-143 [doi]
- Characterizing the SOM Feature Detectors Under Various Input ConditionsMacario O. Cordel II, Arnulfo P. Azcarraga. 144-155 [doi]
- PCANE: Preserving Context Attributes for Network EmbeddingDanhao Zhu, Xinyu Dai, Kaijia Yang, Jiajun Chen, Yong He. 156-168 [doi]
- A Novel Framework for Node/Edge Attributed Graph EmbeddingGuolei Sun, Xiangliang Zhang. 169-182 [doi]
- Context-Aware Dual-Attention Network for Natural Language InferenceKun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu 0003, C. L. Philip Chen. 185-198 [doi]
- Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement LearningYaocheng Gui, Qian Liu, Tingming Lu, Zhiqiang Gao. 199-211 [doi]
- Towards One Reusable Model for Various Software Defect Mining TasksHeng-Yi Li, Ming Li 0005, Zhi-Hua Zhou. 212-224 [doi]
- User Preference-Aware Review GenerationWei Wang 0138, Hai-Tao Zheng, Hao Liu. 225-236 [doi]
- Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and StructureGianni Costa, Riccardo Ortale. 237-248 [doi]
- A Large-Scale Repository of Deterministic Regular Expression Patterns and Its ApplicationsHaiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, Weidong Min. 249-261 [doi]
- Determining the Impact of Missing Values on Blocking in Record LinkageImrul Chowdhury Anindya, Murat Kantarcioglu, Bradley Malin. 262-274 [doi]
- Bridging the Gap Between Research and Production with CODEYiping Jin, Dittaya Wanvarie, Phu T. V. Le. 277-288 [doi]
- Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest PredictionQiang Cui, Yuyuan Tang, Shu Wu, Liang Wang 0001. 289-301 [doi]
- Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender SystemJiaona Pang, Jun Guo, Wei Zhang. 302-313 [doi]
- Event2Vec: Learning Event Representations Using Spatial-Temporal Information for RecommendationYan Wang, Jie Tang 0001. 314-326 [doi]
- Maximizing Gain over Flexible Attributes in Peer to Peer MarketplacesAbolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das 0001. 327-345 [doi]
- An Attentive Spatio-Temporal Neural Model for Successive Point of Interest RecommendationKhoa D. Doan, Guolei Yang, Chandan K. Reddy. 346-358 [doi]
- Mentor Pattern Identification from Product Usage LogsAnkur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, Sunav Choudhary. 359-371 [doi]
- AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing ImagesQiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang. 375-386 [doi]
- Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNNSelvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood. 387-399 [doi]
- A Multi-scale Recalibrated Approach for 3D Human Pose EstimationZiwei Xie, Hailun Xia, Chunyan Feng. 400-411 [doi]
- Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments GenerationGuangyi Lv, Tong Xu, Qi Liu 0003, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen. 412-424 [doi]
- Self-paced Robust Deep Face Recognition with Label NoisePengfei Zhu, Wenya Ma, Qinghua Hu. 425-435 [doi]
- Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image ClassificationZe Tian, Ming Yang. 436-448 [doi]
- Discovering Senile Dementia from Brain MRI Using Ra-DenseNetXiaobo Zhang, Yan Yang 0001, Tianrui Li, Hao Wang, Ziqing He. 449-460 [doi]
- Granger Causality for Heterogeneous ProcessesSahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant. 463-475 [doi]
- Knowledge Graph Embedding with Order Information of TripletsJun Yuan, Neng Gao, Ji Xiang, Chenyang Tu, Jingquan Ge. 476-488 [doi]
- Knowledge Graph Rule Mining via Transfer LearningPouya Ghiasnezhad Omran, Zhe Wang 0001, Kewen Wang. 489-500 [doi]
- Knowledge Base Completion by Inference from Both Relational and Literal FactsZhichun Wang, Yong Huang. 501-513 [doi]
- EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph CompletionYi Zhang, Zhijuan Du, Xiaofeng Meng. 514-527 [doi]
- An Interpretable Neural Model with Interactive Stepwise InfluenceYin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu. 528-540 [doi]
- Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention MechanismEn-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng. 541-553 [doi]