On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series

Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch. On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. In Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh, editors, Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Volume 225 of Proceedings of Machine Learning Research, pages 268-291, PMLR, 2023. [doi]

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