%0 Conference Paper %1 conf/aime/SchleicherPSS22 %A Schleicher, Miro %A Pryss, Rüdiger %A Schlee, Winfried %A Spiliopoulou, Myra %B AIME %D 2022 %E Michalowski, Martin %E Abidi, Syed Sibte Raza %E Abidi, Samina %I Springer %K dblp %P 310-320 %T When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps. %U http://dblp.uni-trier.de/db/conf/aime/aime2022.html#SchleicherPSS22 %V 13263 %@ 978-3-031-09342-5

@inproceedings{conf/aime/SchleicherPSS22, added-at = {2022-07-14T00:00:00.000+0200}, author = {Schleicher, Miro and Pryss, Rüdiger and Schlee, Winfried and Spiliopoulou, Myra}, biburl = {https://www.bibsonomy.org/bibtex/2544d9efaaedadb889f42cdb94181b4ef/dblp}, booktitle = {AIME}, crossref = {conf/aime/2022}, editor = {Michalowski, Martin and Abidi, Syed Sibte Raza and Abidi, Samina}, ee = {https://doi.org/10.1007/978-3-031-09342-5_30}, interhash = {66470d5ce8e131cd9b59d09bf94879a8}, intrahash = {544d9efaaedadb889f42cdb94181b4ef}, isbn = {978-3-031-09342-5}, keywords = {dblp}, pages = {310-320}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T17:06:47.000+0200}, title = {When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps.}, url = {http://dblp.uni-trier.de/db/conf/aime/aime2022.html#SchleicherPSS22}, volume = 13263, year = 2022 }