Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems N Abiri, B Linse, P Edén, M Ohlsson Neurocomputing 365, 137-146, 2019 | 59 | 2019 |
Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers Z Farooq, J Rocklöv, J Wallin, N Abiri, MO Sewe, H Sjödin, JC Semenza The Lancet Regional Health–Europe 17, 2022 | 54* | 2022 |
Variational auto-encoders with Student's t-prior N Abiri, M Ohlsson ESANN 2019 proceedings, European Symposium on Artificial Neural Networks …, 2019 | 17 | 2019 |
Deep learning for inverse problems in quantum mechanics V Latz, N Abiri, G Carlsson, ME Pistol International Journal of Quantum Chemistry, 2020 | 7 | 2020 |
Input precision, output excellence: the importance of data quality control and method selection in disease risk mapping—authors’ reply Z Farooq, J Rocklöv, J Wallin, N Abiri, MO Sewe, H Sjödin, JC Semenza The Lancet Regional Health–Europe 42, 2024 | | 2024 |
Statistical inference with deep latent variable models N Abiri Lund University, 2019 | | 2019 |
The advantage of using Student's t-priors in variational autoencoders N Abiri, M Ohlsson | | |