Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels - researchr publication authors

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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]

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