MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across
Cities and Tasks
A. Sao, S. Gottschalk, N. Tempelmeier, and E. Demidova. Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV, volume 13938 of Lecture Notes in Computer Science, page 70--82. Springer, (2023)
DOI: 10.1007/978-3-031-33383-5\_6
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV
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%0 Conference Paper
%1 DBLP:conf/pakdd/SaoGTD23
%A Sao, Ashutosh
%A Gottschalk, Simon
%A Tempelmeier, Nicolas
%A Demidova, Elena
%B Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV
%D 2023
%E Kashima, Hisashi
%E Idé, Tsuyoshi
%E Peng, Wen-Chih
%I Springer
%K myown
%P 70--82
%R 10.1007/978-3-031-33383-5\_6
%T MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across
Cities and Tasks
%U https://doi.org/10.1007/978-3-031-33383-5\_6
%V 13938
@inproceedings{DBLP:conf/pakdd/SaoGTD23,
added-at = {2024-02-20T16:16:57.000+0100},
author = {Sao, Ashutosh and Gottschalk, Simon and Tempelmeier, Nicolas and Demidova, Elena},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://www.bibsonomy.org/bibtex/20cd8774b82cd131ddf4dd58354fffb01/sgottschalk},
booktitle = {Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, {PAKDD} 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part {IV}},
doi = {10.1007/978-3-031-33383-5\_6},
editor = {Kashima, Hisashi and Id{\'{e}}, Tsuyoshi and Peng, Wen{-}Chih},
interhash = {af89f0361afa40065885a33acfcb9e37},
intrahash = {0cd8774b82cd131ddf4dd58354fffb01},
keywords = {myown},
pages = {70--82},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-02-20T16:16:57.000+0100},
title = {MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across
Cities and Tasks},
url = {https://doi.org/10.1007/978-3-031-33383-5\_6},
volume = 13938,
year = 2023
}