Csi: A hybrid deep model for fake news detection N Ruchansky, S Seo, Y Liu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 1224 | 2017 |
Combating fake news: A survey on identification and mitigation techniques K Sharma, F Qian, H Jiang, N Ruchansky, M Zhang, Y Liu ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-42, 2019 | 546 | 2019 |
A (Not) NICE Way to Verify the OpenFlow Switch Specification N Ruchansky, D Proserpio SIGCOMM, Poster, 2013 | 33* | 2013 |
The minimum wiener connector problem N Ruchansky, F Bonchi, D García-Soriano, F Gullo, N Kourtellis Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 32 | 2015 |
Matrix completion with queries N Ruchansky, M Crovella, E Terzi Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 28 | 2015 |
Routing state distance: A path-based metric for network analysis G Gürsun, N Ruchansky, E Terzi, M Crovella Proceedings of the 2012 Internet Measurement Conference, 239-252, 2012 | 21 | 2012 |
To be connected, or not to be connected: That is the minimum inefficiency subgraph problem N Ruchansky, F Bonchi, D García-Soriano, F Gullo, N Kourtellis Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 17 | 2017 |
Inferring visibility: Who's (not) talking to whom? G Gürsun, N Ruchansky, E Terzi, M Crovella ACM SIGCOMM Computer Communication Review 42 (4), 151-162, 2012 | 13 | 2012 |
Monitoring workspace activities using accelerometers N Ruchansky, C Lochner, E Do, T Rawls, NH Chehade, J Chien, G Pottie, ... 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 8 | 2011 |
Targeted matrix completion N Ruchansky, M Crovella, E Terzi Proceedings of the 2017 SIAM International Conference on Data Mining, 255-263, 2017 | 6 | 2017 |
Matrix completability analysis via graph k-connectivity D Cheng, N Ruchansky, Y Liu International Conference on Artificial Intelligence and Statistics, 395-403, 2018 | 2 | 2018 |
Matrix completion with structure N Ruchansky | 2 | 2016 |
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 … GDF Morales, C Perlich, N Ruchansky, N Kourtellis, E Baralis, F Bonchi Springer Nature, 2023 | | 2023 |
To be connected, or not to be connected... N Ruchansky, F Bonchi, D Garcia-Soriano, F Gullo, N Kourtellis Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | | 2017 |
A fine-grained distance metric for analyzing Internet topology. M Crovella, G Gursun, N Ruchansky, E Terzi LCN, 2012 | | 2012 |
Machine learning and knowledge discovery in databases: applied data science and demo track: European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023: proceedings E PKDD, G De Grancisci Morales, C Perlich, N Ruchansky, N Kourtellis, ... (No Title), 0 | | |