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Najmeh Abiri
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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
582019
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
51*2022
Variational auto-encoders with Student's t-prior
N Abiri, M Ohlsson
ESANN 2019 proceedings, European Symposium on Artificial Neural Networks …, 2019
152019
Deep learning for inverse problems in quantum mechanics
V Latz, N Abiri, G Carlsson, ME Pistol
International Journal of Quantum Chemistry, 2020
72020
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
The advantage of using Student's t-priors in variational autoencoders
N Abiri, M Ohlsson
2019
Statistical inference with deep latent variable models
N Abiri
Lund University, 2019
2019
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