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Leif Jonsson, Ph. D.
Leif Jonsson, Ph. D.
Verified email at liu.se - Homepage
Title
Cited by
Cited by
Year
Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts
L Jonsson, M Borg, D Broman, K Sandahl, S Eldh, P Runeson
Empirical Software Engineering 21 (4), 1533-1578, 2016
1832016
Towards automated anomaly report assignment in large complex systems using stacked generalization
L Jonsson, D Broman, K Sandahl, S Eldh
2012 IEEE Fifth International Conference on Software Testing, Verification …, 2012
282012
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
222018
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
182016
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
162020
Machine Learning-Based Bug Handling in Large-Scale Software Development
L Jonsson
Linköping University Electronic Press, 2018
152018
Increasing anomaly handling efficiency in large organizations using applied machine learning
L Jonsson
2013 35th International Conference on Software Engineering (ICSE), 1361-1364, 2013
142013
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
132018
Sparse partially collapsed mcmc for parallel inference in topic models
M Magnusson, L Jonsson, M Villani, D Broman
arXiv preprint arXiv:1506.03784, 2015
92015
The Cambridge Law Corpus: A Dataset for Legal AI Research
A Östling, H Sargeant, H Xie, LK Bull, A Terenin, L Jonsson, ...
Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023
72023
Parallelizing LDA using partially collapsed Gibbs sampling
M Magnusson, L Jonsson, M Villani, D Broman
ArXiv e-prints, 2015
72015
BERTicsson: A Recommender System For Troubleshooting
NMI Grimalt, S Shalmashi, F Yaghoubi, L Jonsson, AH Payberah
62022
Adopting automated bug assignment in practice—a longitudinal case study at Ericsson
M Borg, L Jonsson, E Engström, B Bartalos, A Szabó
Empirical Software Engineering 29 (5), 1-65, 2024
22024
The Cambridge Law Corpus: A Corpus for Legal AI Research
A Östling, H Sargeant, H Xie, L Bull, A Terenin, L Jonsson, M Magnusson, ...
Advances in Neural Information Processing Systems 36, 2024
22024
Adopting Automated Bug Assignment in Practice--A Registered Report of an Industrial Case Study
M Borg, L Jonsson, E Engström, B Bartalos, A Szabo
arXiv preprint arXiv:2109.13635, 2021
22021
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
A Terenin, M Magnusson, L Jonsson
arXiv preprint arXiv:1906.02416, 2019
22019
Nlp-based recommender system for efficient analysis of trouble tickets
S Shalmashi, F Yaghoubi, L Jonsson, NMI Grimalt, AH Payberah
US Patent App. 18/563,413, 2024
2024
DOLDA
M Magnusson, L Jonsson, M Villani
Springer Verlag, 2020
2020
Sparse Parallel Training for Hierarchical Dirichlet Process Topic Models
A Terenin, M Magnusson, L Jonsson
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2020
Pólya Urn Latent Dirichlet Allocation
A Terenin, M Magnusson, L Jonsson, D Draper
2018
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