Måns Magnusson
Måns Magnusson
Department of Computer Science, Aalto University, Finland
Verifierad e-postadress på aalto.fi
TitelCiteras avÅr
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
532017
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
332013
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), 20447, 2013
222013
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
172015
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
14*2018
Understanding text pre-processing for latent Dirichlet allocation
A Schofield, M Magnusson, D Mimno
Proceedings of the 15th conference of the European chapter of the …, 2017
112017
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
92018
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), 2012
92012
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression
M Magnusson, L Jonsson, M Villani
Computational Statistics 35 (1), 175-201, 2020
82020
Parallelizing LDA using partially collapsed Gibbs sampling
M Magnusson, L Jonsson, M Villani, D Broman
Statistics 24 (2), 301-327, 2015
72015
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
62016
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
42016
En färgblind stat missar rasismens nyanser
K Jebari, M Magnusson
Tidskrift för politisk filosofi 2, 2013
32013
Bayesian Leave-One-Out Cross-Validation for Large Data
MR Andersen, M Magnusson, J Jonasson, A Vehtari
Thirty-sixth International Conference on Machine Learning, 2019
2*2019
Voices from the far right: a text analysis of Swedish parliamentary debates
M Magnusson, R Öhrvall, K Barrling, D Mimno
SocArXiv, 2018
22018
Scalable and Efficient Probabilistic Topic Model Inference for Textual Data
M Magnusson
Linköping University Electronic Press, 2018
12018
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
M Magnusson, MR Andersen, J Jonasson, A Vehtari
arXiv preprint arXiv:2001.00980, 2020
2020
Interpretable Word Embeddings via Informative Priors
MH Bodell, M Arvidsson, M Magnusson
arXiv preprint arXiv:1909.01459, 2019
2019
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
A Terenin, M Magnusson, L Jonsson
arXiv preprint arXiv:1906.02416, 2019
2019
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Artiklar 1–19