A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations

Antonios Karatzoglou, Nikolai Schnell, Michael Beigl. A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Volume 11139 of Lecture Notes in Computer Science, pages 61-72, Springer, 2018. [doi]

@inproceedings{KaratzoglouSB18,
  title = {A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations},
  author = {Antonios Karatzoglou and Nikolai Schnell and Michael Beigl},
  year = {2018},
  doi = {10.1007/978-3-030-01418-6_7},
  url = {https://doi.org/10.1007/978-3-030-01418-6_7},
  researchr = {https://researchr.org/publication/KaratzoglouSB18},
  cites = {0},
  citedby = {0},
  pages = {61-72},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I},
  editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis},
  volume = {11139},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01418-6},
}