Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar. RNN-SURV: A Deep Recurrent Model for Survival Analysis. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III. Volume 11141 of Lecture Notes in Computer Science, pages 23-32, Springer, 2018. [doi]
@inproceedings{GiunchigliaNS18, title = {RNN-SURV: A Deep Recurrent Model for Survival Analysis}, author = {Eleonora Giunchiglia and Anton Nemchenko and Mihaela van der Schaar}, year = {2018}, doi = {10.1007/978-3-030-01424-7_3}, url = {https://doi.org/10.1007/978-3-030-01424-7_3}, researchr = {https://researchr.org/publication/GiunchigliaNS18}, cites = {0}, citedby = {0}, pages = {23-32}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III}, editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis}, volume = {11141}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-01424-7}, }