• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 43 matches

• 2019
• 
  Imrul Chowdhury Anindya, Murat Kantarcioglu, Bradley A. Malin:
  Determining the Impact of Missing Values on Blocking in Record Linkage. PAKDD (3) 2019: 262-274
• 
  Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
  Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) 2019: 327-345
• 
  Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant:
  Granger Causality for Heterogeneous Processes. PAKDD (3) 2019: 463-475
• 
  Ayan Kumar Bhowmick, Koushik Meneni, Bivas Mitra:
  On the Network Embedding in Sparse Signed Networks. PAKDD (3) 2019: 94-106
• 
  Haiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, Weidong Min:
  A Large-Scale Repository of Deterministic Regular Expression Patterns and Its Applications. PAKDD (3) 2019: 249-261
• 
  Macario O. Cordel II, Arnulfo P. Azcarraga:
  Characterizing the SOM Feature Detectors Under Various Input Conditions. PAKDD (3) 2019: 144-155
• 
  Gianni Costa, Riccardo Ortale:
  Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure. PAKDD (3) 2019: 237-248
• 
  Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang:
  Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. PAKDD (3) 2019: 289-301
• 
  Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang:
  Ranking Network Embedding via Adversarial Learning. PAKDD (3) 2019: 27-39
• 
  Khoa D. Doan, Guolei Yang, Chandan K. Reddy:
  An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. PAKDD (3) 2019: 346-358
• 
  Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie:
  Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. PAKDD (3) 2019: 68-80
• 
  Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang:
  Extracting Keyphrases from Research Papers Using Word Embeddings. PAKDD (3) 2019: 54-67
• 
  Ankur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, Sunav Choudhary:
  Mentor Pattern Identification from Product Usage Logs. PAKDD (3) 2019: 359-371
• 
  Yaocheng Gui, Qian Liu, Tingming Lu, Zhiqiang Gao:
  Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning. PAKDD (3) 2019: 199-211
• 
  Lan-Zhe Guo, Tao Han, Yufeng Li:
  Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) 2019: 131-143
• 
  En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng:
  Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. PAKDD (3) 2019: 541-553
• 
  Yiping Jin, Dittaya Wanvarie, Phu T. V. Le:
  Bridging the Gap Between Research and Production with CODE. PAKDD (3) 2019: 277-288
• 
  Heng-Yi Li, Ming Li, Zhi-Hua Zhou:
  Towards One Reusable Model for Various Software Defect Mining Tasks. PAKDD (3) 2019: 212-224
• 
  Dedong Li, Aimin Zhou, Chuan Shi:
  NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26
• 
  Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang:
  SSNE: Status Signed Network Embedding. PAKDD (3) 2019: 81-93
• 
  Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo:
  Auto-encoder Based Co-training Multi-view Representation Learning. PAKDD (3) 2019: 119-130
• 
  Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen:
  Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. PAKDD (3) 2019: 412-424
• 
  Jan Neerbek, Peter Dolog, Ira Assent:
  Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. PAKDD (3) 2019: 40-53
• 
  Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang:
  Knowledge Graph Rule Mining via Transfer Learning. PAKDD (3) 2019: 489-500
• 
  Jiaona Pang, Jun Guo, Wei Zhang:
  Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System. PAKDD (3) 2019: 302-313
• 
  Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
  AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. PAKDD (3) 2019: 3-14
• 
  Guolei Sun, Xiangliang Zhang:
  A Novel Framework for Node/Edge Attributed Graph Embedding. PAKDD (3) 2019: 169-182
• 
  Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
  Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN. PAKDD (3) 2019: 387-399
• 
  Ze Tian, Ming Yang:
  Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification. PAKDD (3) 2019: 436-448
• 
  Zhichun Wang, Yong Huang:
  Knowledge Base Completion by Inference from Both Relational and Literal Facts. PAKDD (3) 2019: 501-513

skipping 13 more matches