ACM PKDD 2018 papers' Presentations

  1. Hugo Barros: Discovering Non-Redundant K-means Clusterings in Optimal Subspaces Dominik Mautz (Ludwig Maximilian University of Munich); Wei Ye (Ludwig Maximilian University of Munich); Claudia Plant (University of Vienna); Christian B
  2. João Bruno and Mário Ferreira: You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis Pengyang Wang (Missouri University of Science and Technology); Yanjie Fu (Missouri University of Science and Technology); Jiawei Zhang (Florida State University); Pengfei Wang (CNIC, Chinese Academy of Sciences); Yu Zheng (Urban Computing Business Unit, JD Finance); Charu Aggarwal (IBM)
  3. Hector Rebouças and Karyn Azevedo: Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Tr Yang Yang (NanJing university); Yi-Feng Wu (LAMDA Group, Nanjing University); De-Chuan Zhan (Nanjing University); Zhi-Bin Liu (Tencent); Yuan Jiang (Nanjing University)
  4. André Godinho, Luís Queijo and Alice Rangel: TaxoGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering Chao Zhang (University of Illinois at Urbana-Champaign); Fangbo Tao (Facebook); Xiusi Chen (University of Illinois at Urbana-Champaign); Jiaming Shen (University of Illinois at Urbana-Champaign); Meng Jiang (University of Notre Dame); Brian Sadler (U.S. Army Research Lab); Michelle Vanni (U.S. Army Research Lab); Jiawei Han (University of Illinois at Urbana-Champaign)
  5. Bruno Casteleiro, José Rocha and Rúben Carvalho: You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis Pengyang Wang (Missouri University of Science and Technology); Yanjie Fu (Missouri University of Science and Technology); Jiawei Zhang (Florida State University); Pengfei Wang (CNIC, Chinese Academy of Sciences); Yu Zheng (Urban Computing Business Unit, JD Finance); Charu Aggarwal (IBM)
  6. Francisco Oliveira and Ivo Sousa: TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data Hengtong Zhang (SUNY at Buffalo); Yaliang Li (Baidu Research); Fenglong Ma (SUNY Buffalo); Jing Gao (University at Buffalo); Lu Su (The State University of New York at Buffalo)