Deep Learning Provenance Data Integration: a Practical Approach.

@inproceedings{pina-2023-deep, author = {D\'{e}bora B. Pina and Adriane Chapman and Daniel de Oliveira and Marta Mattoso}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{Deep Learning Provenance Data Integration: a Practical Approach}}, booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {1542--1550}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543873.3587561}, doi = {https://doi.org/10.1145/3543873.3587561} }