Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms W Sun, SV Kalmady, N Sepehrvand, A Salimi, Y Nademi, K Bainey, ... NPJ Digital Medicine 6 (1), 21, 2023 | 13 | 2023 |
Syntax and Stack Overflow: A methodology for extracting a corpus of syntax errors and fixes AW Wong, A Salimi, S Chowdhury, A Hindle 2019 IEEE International Conference on Software Maintenance and Evolution …, 2019 | 12 | 2019 |
Multilabel 12-lead electrocardiogram classification using beat to sequence autoencoders AW Wong, A Salimi, A Hindle, SV Kalmady, P Kaul ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale W Sun, SV Kalmady, N Sepehrvand, LM Chu, Z Wang, A Salimi, A Hindle, ... arXiv preprint arXiv:2211.10431, 2022 | 8 | 2022 |
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level SV Kalmady, A Salimi, W Sun, N Sepehrvand, Y Nademi, K Bainey, ... NPJ Digital Medicine 7 (1), 133, 2024 | 2 | 2024 |
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case Y Nademi, SV Kalmady, W Sun, A Salimi, A Hindle, P Kaul, R Greiner 2023 19th International Symposium on Medical Information Processing and …, 2023 | 1 | 2023 |
Make your own audience: virtual listeners can filter generated drum programs A Salimi, A Hindle Proceedings of the 2020 AI Music Creativity Conference, 1-8, 2020 | 1 | 2020 |
Exploring Best Practices for ECG Signal Processing in Machine Learning A Salimi, SV Kalmady, A Hindle, O Zaiane, P Kaul arXiv preprint arXiv:2311.04229, 2023 | | 2023 |
Percussive Sound Generation with Virtual Listeners and Modular Synthesizers AS Salimi | | 2021 |