%0 Generic %1 heinrich2021supplementary %A Heinrich, Kai %A Zschech, Patrick %A Janiesch, Christian %A Bonin, Markus %D 2021 %K bpm bwljp1 myown %T Supplementary Material for "Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning". EUDAT B2SHARE %U https://doi.org/10.23728/b2share.08b7ff704f724b94a61b4a6cac0fe1e0

@dataset{heinrich2021supplementary, added-at = {2021-01-08T16:01:20.000+0100}, author = {Heinrich, Kai and Zschech, Patrick and Janiesch, Christian and Bonin, Markus}, biburl = {https://www.bibsonomy.org/bibtex/2437a1cdb8899871b278e12b02d29f192/famerlor}, interhash = {f190c119791caebcee2d061bd2c14c7e}, intrahash = {437a1cdb8899871b278e12b02d29f192}, keywords = {bpm bwljp1 myown}, timestamp = {2022-10-28T11:16:35.000+0200}, title = {Supplementary Material for "Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning". EUDAT B2SHARE}, url = {https://doi.org/10.23728/b2share.08b7ff704f724b94a61b4a6cac0fe1e0}, year = 2021 }