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Natali Ruchansky
Natali Ruchansky
netflix
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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
12022017
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
5292019
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
312015
Matrix completion with queries
N Ruchansky, M Crovella, E Terzi
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
282015
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
212012
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
162017
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
132012
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
82011
Targeted matrix completion
N Ruchansky, M Crovella, E Terzi
Proceedings of the 2017 SIAM International Conference on Data Mining, 255-263, 2017
62017
Matrix completability analysis via graph k-connectivity
D Cheng, N Ruchansky, Y Liu
International Conference on Artificial Intelligence and Statistics, 395-403, 2018
22018
Matrix completion with structure
N Ruchansky
22016
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
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Artículos 1–16