| loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ... R package version 2 (1), 12, 2020 | 757 | 2020 |
| Pulling out the stops: Rethinking stopword removal for topic models A Schofield, M Magnusson, D Mimno Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 236 | 2017 |
| Understanding text pre-processing for latent Dirichlet allocation A Schofield, M Magnusson, L Thompson, D Mimno Proceedings of the 15th conference of the European chapter of the …, 2017 | 87 | 2017 |
| Uncertainty in Bayesian leave-one-out cross-validation based model comparison T Sivula, M Magnusson, AA Matamoros, A Vehtari arXiv preprint arXiv:2008.10296, 2020 | 83 | 2020 |
| Risk of pancreatic cancer among individuals with hepatitis C or hepatitis B virus infection: a nationwide study in Sweden J Huang, M Magnusson, A Törner, W Ye, AS Duberg British journal of cancer 109 (11), 2917-2923, 2013 | 69 | 2013 |
| Leave-one-out cross-validation for Bayesian model comparison in large data M Magnusson, A Vehtari, J Jonasson, M Andersen International conference on artificial intelligence and statistics, 341-351, 2020 | 43 | 2020 |
| Bayesian Leave-One-Out Cross-Validation for Large Data M Magnusson, MR Andersen, J Jonasson, A Vehtari 36th International Conference on Machine Learning, 7505-7525, 2019 | 38 | 2019 |
| Robust, accurate stochastic optimization for variational inference AK Dhaka, A Catalina, MR Andersen, M Magnusson, J Huggins, A Vehtari Advances in Neural Information Processing Systems 33, 10961-10973, 2020 | 33 | 2020 |
| The incidence of acute gastrointestinal illness in Sweden FI Hansdotter, M Magnusson, S KüHlMANN-BereNzON, A Hulth, ... Scandinavian Journal of Public Health 43 (5), 540-547, 2015 | 27 | 2015 |
| Prevailing effectiveness of the 2009 influenza A (H1N1) pdm09 vaccine during the 2010/11 season in Sweden K Widgren, M Magnusson, P Hagstam, M Widerström, Å Örtqvist, ... Eurosurveillance 18 (15), 2013 | 26 | 2013 |
| DOLDA-a regularized supervised topic model for high-dimensional multi-class regression M Magnusson, L Jonsson, M Villani Computational Statistics, 2020 | 25* | 2020 |
| Interpretable Word Embeddings via Informative Priors MH Bodell, M Arvidsson, M Magnusson EMNLP, 2019 | 24 | 2019 |
| Sparse partially collapsed mcmc for parallel inference in topic models M Magnusson, L Jonsson, M Villani, D Broman Journal of Computational and Graphical Statistics 27 (2), 449-463, 2018 | 24* | 2018 |
| Polya urn latent Dirichlet allocation: a doubly sparse massively parallel sampler A Terenin, M Magnusson, L Jonsson, D Draper IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (7), 1709-1719, 2018 | 23 | 2018 |
| When are Bayesian model probabilities overconfident? O Oelrich, S Ding, M Magnusson, A Vehtari, M Villani arXiv preprint arXiv:2003.04026, 2020 | 22 | 2020 |
| Automatic localization of bugs to faulty components in large scale software systems using bayesian classification L Jonsson, D Broman, M Magnusson, K Sandahl, M Villani, S Eldh 2016 IEEE International Conference on Software Quality, Reliability and …, 2016 | 17 | 2016 |
| Voices from the far right: a text analysis of Swedish parliamentary debates M Magnusson, R Öhrvall, K Barrling, D Mimno OSF, 2018 | 16 | 2018 |
| Finding the news lead in the data haystack: Automated local data journalism using crime data M Magnusson, J Finnäs, L Wallentin Computation+ Journalism Symposium, 2016 | 16 | 2016 |
| Multilingual comparable corpora of parliamentary debates ParlaMint 1.0 T Erjavec, V Grigorova, N Ljubešić, M Ogrodniczuk, P Osenova, A Pančur, ... CLARIN ERIC, 2020 | 12 | 2020 |
| From documents to data: A framework for total corpus quality M Hurtado Bodell, M Magnusson, S Mützel Socius 8, 23780231221135523, 2022 | 11 | 2022 |
Aki VehtariProfessor, Aalto University在 aalto.fi 的电子邮件经过验证
