Tomer Golany, Daniel Freedman, Kira Radinsky. ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 134-141, AAAI Press, 2021. [doi]
@inproceedings{GolanyFR21, title = {ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning}, author = {Tomer Golany and Daniel Freedman and Kira Radinsky}, year = {2021}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/16086}, researchr = {https://researchr.org/publication/GolanyFR21}, cites = {0}, citedby = {0}, pages = {134-141}, booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021}, publisher = {AAAI Press}, isbn = {978-1-57735-866-4}, }