Lesezeichen (verstecken)270
- Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
- A classification of all possible chart types classified following the input data format.
publications (hide)648
- Advances in Neural Information Processing Systems 31, Curran Associates, Inc., (2018)
- Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science, page 18--22. (2014)
- arXiv preprint arXiv:1812.00474, (2018)
- Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, page 1--10. IEEE, (2015)
- (2018)cite arxiv:1801.05372.
- (2017)cite arxiv:1706.00327.
- Advances in Neural Information Processing Systems 28, Curran Associates, Inc., (2015)
- Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 1666--1674. ACM, (2018)
- arXiv preprint arXiv:1812.02655, (2018)
- (2018)cite arxiv:1811.01241.
- NeurIPS, page 994-1005. (2018)
- Universität Würzburg, doctoralthesis, (2019)
- science, 313 (5786): 504--507 (2006)
- Proceedings of the 30th ACM Conference on Hypertext and Social Media, page 143--152. New York, NY, USA, ACM, (2019)
- Data Min. Knowl. Discov., 30 (4): 891-927 (2016)
- CoRR, (2017)cite arxiv:1706.03762Comment: 15 pages, 5 figures.
- Proceedings of the VLDB Endowment, 8 (12): 1816--1827 (2015)
- Signal Processing, (2014)
- DaWaK, volume 2454 of Lecture Notes in Computer Science, page 170-180. Springer, (2002)
- (2016)
