%0 Conference Paper %1 conf/pkdd/FolinoGL0PR20 %A Folino, Francesco %A Guarascio, Massimo %A Liguori, Angelica %A Manco, Giuseppe %A Pontieri, Luigi %A Ritacco, Ettore %B PKDD/ECML Workshops %D 2020 %E Koprinska, Irena %E Kamp, Michael %E Appice, Annalisa %E Loglisci, Corrado %E Antonie, Luiza %E Zimmermann, Albrecht %E Guidotti, Riccardo %E Özgöbek, Özlem %E Ribeiro, Rita P. %E Gavaldà, Ricard %E Gama, João %E Adilova, Linara %E Krishnamurthy, Yamuna %E Ferreira, Pedro M. %E Malerba, Donato %E Medeiros, Ibéria %E Ceci, Michelangelo %E Manco, Giuseppe %E Masciari, Elio %E Ras, Zbigniew W. %E Christen, Peter %E Ntoutsi, Eirini %E Schubert, Erich %E Zimek, Arthur %E Monreale, Anna %E Biecek, Przemyslaw %E Rinzivillo, Salvatore %E Kille, Benjamin %E Lommatzsch, Andreas %E Gulla, Jon Atle %I Springer %K dblp %P 263-275 %T Exploiting Temporal Convolution for Activity Prediction in Process Analytics. %U http://dblp.uni-trier.de/db/conf/pkdd/pkdd2020-w.html#FolinoGL0PR20 %V 1323 %@ 978-3-030-65965-3

@inproceedings{conf/pkdd/FolinoGL0PR20, added-at = {2024-05-07T00:00:00.000+0200}, author = {Folino, Francesco and Guarascio, Massimo and Liguori, Angelica and Manco, Giuseppe and Pontieri, Luigi and Ritacco, Ettore}, biburl = {https://www.bibsonomy.org/bibtex/2d46e57b4bce41a5e0b9eb8a9065686b3/dblp}, booktitle = {PKDD/ECML Workshops}, crossref = {conf/pkdd/2020-w}, editor = {Koprinska, Irena and Kamp, Michael and Appice, Annalisa and Loglisci, Corrado and Antonie, Luiza and Zimmermann, Albrecht and Guidotti, Riccardo and Özgöbek, Özlem and Ribeiro, Rita P. and Gavaldà, Ricard and Gama, João and Adilova, Linara and Krishnamurthy, Yamuna and Ferreira, Pedro M. and Malerba, Donato and Medeiros, Ibéria and Ceci, Michelangelo and Manco, Giuseppe and Masciari, Elio and Ras, Zbigniew W. and Christen, Peter and Ntoutsi, Eirini and Schubert, Erich and Zimek, Arthur and Monreale, Anna and Biecek, Przemyslaw and Rinzivillo, Salvatore and Kille, Benjamin and Lommatzsch, Andreas and Gulla, Jon Atle}, ee = {https://doi.org/10.1007/978-3-030-65965-3_17}, interhash = {2d4fc2137a9828e0d27cb4ac8ede9b15}, intrahash = {d46e57b4bce41a5e0b9eb8a9065686b3}, isbn = {978-3-030-65965-3}, keywords = {dblp}, pages = {263-275}, publisher = {Springer}, series = {Communications in Computer and Information Science}, timestamp = {2024-10-14T07:11:08.000+0200}, title = {Exploiting Temporal Convolution for Activity Prediction in Process Analytics.}, url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2020-w.html#FolinoGL0PR20}, volume = 1323, year = 2020 }