bookmarks (hide)270
- A classification of all possible chart types classified following the input data format.
- Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
publications (hide)648
- arXiv preprint arXiv:1805.04022 (2018)
- Proceedings of the 12th International Symposium on Open Collaboration , page 17:1--17:10. New York, NY, USA, ACM, (2016)
- PLoS ONE (2014)
- Advances in Neural Information Processing Systems , page 1903--1911. (2016)
- Proceedings of the Ninth ACM International Conference on Web Search and Data Mining , page 615--624. ACM, (2016)
- Advances in Neural Information Processing Systems , page 4862--4870. (2016)
- International Conference on Machine Learning , page 957--966. (2015)
- Machine Learning 5 (4): 287--364 (2012)
- The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2 (11): 559--572 (1901)
- Prentice Hall, (1971)
- Proceedings of the 18th conference on Computational linguistics-Volume 2 , page 947--953. Association for Computational Linguistics, (2000)
- Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , 1, page 1383--1392. (2018)
- (2005)
- Proceedings of the 3rd International Semantic Search Workshop , page 6:1--6:10. New York, NY, USA, ACM, (2010)
- Data and knowledge engineering 25 (1): 161--198 (1998)
- Handbook on Ontologies , Springer, (2009)
- (2018)cite arxiv:1806.05521Comment: Accepted in ACL 2018 as a full paper.
- (2018)cite arxiv:1804.04212.
- (2018)cite arxiv:1801.07243.
- Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks , page 45--50. Valletta, Malta, ELRA, (May 22, 2010)
