| 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 |
| 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 |
| DOLDA-a regularized supervised topic model for high-dimensional multi-class regression M Magnusson, L Jonsson, M Villani Computational Statistics, 2020 | 24* | 2020 |
| En färgblind stat missar rasismens nyanser K Jebari, M Magnusson Tidskrift för politisk filosofi 2, 2013 | 6 | 2013 |
| 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 |
| Formalising Anti-Discrimination Law in Automated Decision Systems H Sargeant, M Magnusson arXiv preprint arXiv:2407.00400, 2024 | | 2024 |
| From documents to data: A framework for total corpus quality M Hurtado Bodell, M Magnusson, S Mützel Socius 8, 23780231221135523, 2022 | 11 | 2022 |
| Hamilton Monte Carlo with discrete categorical parameters using the Concrete distribution J Torgander, M Magnusson, J Wallin Sixth Symposium on Advances in Approximate Bayesian Inference-Non Archival Track, 0 | | |
| Head lice surveillance on a deregulated OTC-sales market: a study using web query data J Lindh, M Magnusson, M Grünewald, A Hulth PLoS One 7 (11), e48666, 2012 | 11 | 2012 |
| Interpretable Word Embeddings via Informative Priors MH Bodell, M Arvidsson, M Magnusson EMNLP, 2019 | 24 | 2019 |
| Kunskapshöjande åtgärder om afrofobi: En pilotstudie MH Bolve, K Jebari, M Magnusson, G Manzizila Institutet för framtidsstudier, 2017 | 2* | 2017 |
| Kunskapshöjande åtgärder om afrofobi. En pilotstudie M Håkansson Bolve, K Jebari, M Magnusson, G Manzizila, I Vartanov Stockholm: Institutet för framtidsstudier, 2017 | 5 | 2017 |
| 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 | 44 | 2020 |
| 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 | 772* | 2020 |
| Multilingual comparable corpora of parliamentary debates ParlaMint 1.0 T Erjavec, V Grigorova, N Ljubešić, M Ogrodniczuk, P Osenova, A Pančur, ... CLARIN ERIC, 2020 | 7 | 2020 |
| 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 | 21 | 2018 |
| PosteriorDB: A set of posteriors for Bayesian inference and probabilistic programming M Magnusson, P Bürkner, A Vehtari | 11* | 2022 |
| 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 |
| Probabilistic Embeddings with Laplacian Graph Priors V Yrjänäinen, M Magnusson arXiv preprint arXiv:2204.01846, 2022 | | 2022 |
| 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 | 235 | 2017 |
Aki VehtariProfessor, Aalto University在 aalto.fi 的电子邮件经过验证
