| High-throughput genotoxicity assay identifies antioxidants as inducers of DNA damage response and cell death JT Fox, S Sakamuru, R Huang, N Teneva, SO Simmons, M Xia, RR Tice, ... Proceedings of the National Academy of Sciences 109 (14), 5423-5428, 2012 | 136 | 2012 |
| Salience rank: Efficient keyphrase extraction with topic modeling N Teneva, W Cheng Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 63 | 2017 |
| Multiresolution matrix factorization R Kondor, N Teneva, V Garg International Conference on Machine Learning, 1620-1628, 2014 | 62 | 2014 |
| Multiresolution matrix compression N Teneva, PK Mudrakarta, R Kondor Artificial Intelligence and Statistics, 1441-1449, 2016 | 21 | 2016 |
| Structural patterns in the rise of Germany’s new right on Facebook S Schelter, F Biessmann, M Zobel, N Teneva 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 18 | 2016 |
| Parallel mmf: a multiresolution approach to matrix computation R Kondor, N Teneva, PK Mudrakarta arXiv preprint arXiv:1507.04396, 2015 | 14 | 2015 |
| Austin, & Myung, K.(2012). High-throughput genotoxicity assay identifies antioxi‐dants as inducers of DNA damage response and cell death JT Fox, S Sakamuru, R Huang, N Teneva, SO Simmons, M Xia, RR Tice Proceedings of the National Academy of Sciences of United States of America …, 0 | 5 | |
| Reply to Kojo: Mechanisms of antioxidant-induced DNA damage JT Fox, S Sakamuru, R Huang, N Teneva, SO Simmons, M Xia, RR Tice, ... Proceedings of the National Academy of Sciences 109 (30), E2029-E2029, 2012 | 4 | 2012 |
| Multiresolution Matrix Factorization N Teneva | 2 | 2017 |
| pMMF: a high performance parallel MMF library R Kondor, N Teneva, PK Mudrakarta Hosted at https://github. com/risi-kondor/pMMF, 2015 | 2 | 2015 |
| Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs N Teneva, E Hruschka arXiv preprint arXiv:2311.06414, 2023 | | 2023 |
| Exploring the Properties and Structure of Real Knowledge Graphs across Scientific Disciplines N Teneva, E Hruschka NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| The Extractive-Abstractive Axis: Measuring Content" Borrowing" in Generative Language Models N Teneva arXiv preprint arXiv:2307.11779, 2023 | | 2023 |
| pMMF: a C++ library for parallel multiresolution matrix factorization R Kondor, N Teneva, PK Mudrakarta | | |
Risi KondorAssociate Professor, The University of Chicago在 cs.uchicago.edu 的电子邮件经过验证
