Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel. Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. In Elias Pimenidis, Plamen P. Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin 0001, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Volume 13530 of Lecture Notes in Computer Science, pages 209-221, Springer, 2022. [doi]
@inproceedings{YogarajanPSM22,
title = {Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels},
author = {Vithya Yogarajan and Bernhard Pfahringer and Tony Smith and Jacob Montiel},
year = {2022},
doi = {10.1007/978-3-031-15931-2_18},
url = {https://doi.org/10.1007/978-3-031-15931-2_18},
researchr = {https://researchr.org/publication/YogarajanPSM22},
cites = {0},
citedby = {0},
pages = {209-221},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II},
editor = {Elias Pimenidis and Plamen P. Angelov and Chrisina Jayne and Antonios Papaleonidas and Mehmet Aydin 0001},
volume = {13530},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-15931-2},
}