| Computing frequent graph patterns from semistructured data N Vanetik, E Gudes, SE Shimony 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 458-465, 2002 | 243 | 2002 |
| Discovering frequent graph patterns using disjoint paths E Gudes, SE Shimony, N Vanetik IEEE Transactions on Knowledge and Data Engineering 18 (11), 1441-1456, 2006 | 86 | 2006 |
| Support measures for graph data* N Vanetik, SE Shimony, E Gudes Data Mining and Knowledge Discovery 13 (2), 243-260, 2006 | 58 | 2006 |
| Query-based summarization using MDL principle M Litvak, N Vanetik Proceedings of the MultiLing 2017 Workshop on Summarization and Summary …, 2017 | 47 | 2017 |
| Query-based summarization using MDL principle M Litvak, N Vanetik Proceedings of the MultiLing 2017 Workshop on Summarization and Summary …, 2017 | 47 | 2017 |
| MUSEEC: A Multilingual Text Summarization Tool M Litvak, N Vanetik, M Last, E Churkin Proceedings of ACL-2016 System Demonstrations, 73-78, 2016 | 31 | 2016 |
| Subsea: an efficient heuristic algorithm for subgraph isomorphism V Lipets, N Vanetik, E Gudes Data Mining and Knowledge Discovery 19, 320-350, 2009 | 30 | 2009 |
| Mining frequent labeled and partially labeled graph patterns N Vanetik, E Gudes Data Engineering, 2004. Proceedings. 20th International Conference on, 91-102, 2004 | 25 | 2004 |
| An unsupervised constrained optimization approach to compressive summarization N Vanetik, M Litvak, E Churkin, M Last Information Sciences 509, 22-35, 2020 | 22 | 2020 |
| Automated discovery of mathematical definitions in text N Vanetik, M Litvak, S Shevchuk, L Reznik Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 21 | 2020 |
| Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding: Revolutionizing Knowledge Understanding A Fiori IGI Global, 2014 | 18 | 2014 |
| Mining the gaps: Towards polynomial summarization M Litvak, N Vanetik Proceedings of the Sixth International Joint Conference on Natural Language …, 2013 | 15 | 2013 |
| In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes L Li, W Liu, M Litvak, N Vanetik, Z Huang arXiv preprint arXiv:1909.10852, 2019 | 14 | 2019 |
| Redundancy-weighting for better inference of protein structural features C Yanover, N Vanetik, M Levitt, R Kolodny, C Keasar Bioinformatics 30 (16), 2295-2301, 2014 | 13 | 2014 |
| Detection of Racist Language in French Tweets N Vanetik, E Mimoun Information 13 (7), 318, 2022 | 12 | 2022 |
| Summarization of financial documents with TF-IDF weighting of multi-word terms S Krimberg, N Vanetik, M Litvak Proceedings of the 3rd Financial Narrative Processing Workshop, 75-80, 2021 | 10 | 2021 |
| Improving Summarization Quality with Topic Modeling M Litvak, N Vanetik, C Liu, L Xiao, O Savas Proceedings of the 2015 Workshop on Topic Models: Post-Processing and …, 2015 | 10 | 2015 |
| Krimping texts for better summarization M Litvak, M Last, N Vanetik Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 10 | 2015 |
| Mining graphs with constraints on symmetry and diameter N Vanetik International Conference on Web-Age Information Management, 1-12, 2010 | 10 | 2010 |
| Offensive language detection in Hebrew: can other languages help? M Litvak, N Vanetik, C Liebeskind, O Hmdia, RA Madeghem Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 9 | 2022 |
Marina LitvakSami Shamoon College of Engineering, Software Engineering dept.Verified email at sce.ac.il
