• 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 11 matches

• 2023
• 
  Jiaxin Du, Xinyue Ye:
  Batch and negative sampling design for human mobility graph neural network training. HuMob-Challenge@SIGSPATIAL 2023: 47-50
• 
  Xiaogang Guo, Guangyue Li, Zhixing Chen, Huazu Zhang, Yulin Ding, Jinghan Wang, Zilong Zhao, Luliang Tang:
  Large-Scale Human Mobility Prediction Based on Periodic Attenuation and Local Feature Match. HuMob-Challenge@SIGSPATIAL 2023: 16-21
• 
  Haoyu He, Xinhua Wu, Qi R. Wang:
  Forecasting Urban Mobility using Sparse Data: A Gradient Boosted Fusion Tree Approach. HuMob-Challenge@SIGSPATIAL 2023: 41-46
• 
  Taehoon Kim, Kyoung-Sook Kim, Akiyoshi Matono:
  Cell-Level Trajectory Prediction Using Time-embedded Encoder-Decoder Network. HuMob-Challenge@SIGSPATIAL 2023: 37-40
• 
  Akihiro Kobayashi, Naoto Takeda, Yudai Yamazaki, Daisuke Kamisaka:
  Modeling and generating human mobility trajectories using transformer with day encoding. HuMob-Challenge@SIGSPATIAL 2023: 7-10
• 
  Ryo Koyama, Meisaku Suzuki, Yusuke Nakamura, Tomohiro Mimura, Shin Ishiguro:
  Estimating future human trajectories from sparse time series data. HuMob-Challenge@SIGSPATIAL 2023: 26-31
• 
  Aivin V. Solatorio:
  GeoFormer: Predicting Human Mobility using Generative Pre-trained Transformer (GPT). HuMob-Challenge@SIGSPATIAL 2023: 11-15
• 
  Masahiro Suzuki, Shomu Furuta, Yusuke Fukazawa:
  Personalized human mobility prediction for HuMob challenge. HuMob-Challenge@SIGSPATIAL 2023: 22-25
• 
  Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi:
  Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT. HuMob-Challenge@SIGSPATIAL 2023: 1-6
• 
  Chenglong Wang, Zhicheng Deng:
  Multi-perspective Spatiotemporal Context-aware Neural Networks for Human Mobility Prediction. HuMob-Challenge@SIGSPATIAL 2023: 32-36
• 
  Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge, HuMob-Challenge 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents]