| The topic browser: An interactive tool for browsing topic models MJ Gardner, J Lutes, J Lund, J Hansen, D Walker, E Ringger, K Seppi Nips workshop on challenges of data visualization 2, 2, 2010 | 89 | 2010 |
| Movie recommendations using the deep learning approach J Lund, YK Ng 2018 IEEE international conference on information reuse and integration (IRI …, 2018 | 42 | 2018 |
| Tandem anchoring: A multiword anchor approach for interactive topic modeling J Lund, C Cook, K Seppi, J Boyd-Graber Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 41 | 2017 |
| Is your anchor going up or down? Fast and accurate supervised topic models T Nguyen, J Boyd-Graber, J Lund, K Seppi, E Ringger Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 33 | 2015 |
| Automatic evaluation of local topic quality J Lund, P Armstrong, W Fearn, S Cowley, C Byun, J Boyd-Graber, K Seppi arXiv preprint arXiv:1905.13126, 2019 | 16 | 2019 |
| Mrs: MapReduce for Scientific Computing in Python A McNabb, J Lund, K Seppi | 8 | 2012 |
| Cross-referencing using fine-grained topic modeling J Lund, P Armstrong, W Fearn, S Cowley, E Hales, K Seppi arXiv preprint arXiv:1905.07508, 2019 | 6 | 2019 |
| Labeled anchors and a scalable, transparent, and interactive classifier J Lund, S Cowley, W Fearn, E Hales, K Seppi Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 6 | 2018 |
| Why ADAGRAD fails for online topic modeling Y Lu, J Lund, J Boyd-Graber Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 6 | 2017 |
| Report of sediment trends and monitoring efforts 1983-1995 RL Nelson, LJ Wagoner, DC Burns, J Lund, M Faurot Payette National Forest, McCall, ID, 1996 | 5 | 1996 |
| Fine-grained Topic Models Using Anchor Words J Lund Brigham Young University, 2019 | 2 | 2019 |
| Mrs: high performance mapreduce for iterative and asynchronous algorithms in python J Lund, C Ashcraft, A McNabb, K Seppi 2016 6th Workshop on Python for High-Performance and Scientific Computing …, 2016 | 1 | 2016 |
| Fast inference for interactive models of text JA Lund Brigham Young University, 2015 | 1 | 2015 |
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityE-mail confirmado em cs.byu.edu
