%0 Conference Paper %1 conf/bracis/SilvaPB22 %A da Silva, Tiago Pinho %A Parmezan, Antonio Rafael Sabino %A Batista, Gustavo E. A. P. A. %B BRACIS (1) %D 2022 %E Junior, João Carlos Xavier %E Rios, Ricardo Araújo %I Springer %K dblp %P 641-656 %T Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. %U http://dblp.uni-trier.de/db/conf/bracis/bracis2022-1.html#SilvaPB22 %V 13653 %@ 978-3-031-21686-2

@inproceedings{conf/bracis/SilvaPB22, added-at = {2022-12-05T00:00:00.000+0100}, author = {da Silva, Tiago Pinho and Parmezan, Antonio Rafael Sabino and Batista, Gustavo E. A. P. A.}, biburl = {https://www.bibsonomy.org/bibtex/28e2933b8b19b1ac69b11fe3917f29cc1/dblp}, booktitle = {BRACIS (1)}, crossref = {conf/bracis/2022-1}, editor = {Junior, João Carlos Xavier and Rios, Ricardo Araújo}, ee = {https://doi.org/10.1007/978-3-031-21686-2_44}, interhash = {b64230feb10d8054ffd93a12b18fef54}, intrahash = {8e2933b8b19b1ac69b11fe3917f29cc1}, isbn = {978-3-031-21686-2}, keywords = {dblp}, pages = {641-656}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T17:06:33.000+0200}, title = {Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data.}, url = {http://dblp.uni-trier.de/db/conf/bracis/bracis2022-1.html#SilvaPB22}, volume = 13653, year = 2022 }