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2020 – today
- 2023
[e2]Gianmarco De Francisci Morales
, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
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, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6 [contents]- [e1]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
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, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7 [contents]
2010 – 2019
- 2019
- [j1]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. 10(3): 21:1-21:42 (2019) - [i7]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR abs/1901.06437 (2019) - 2018
- [c10]Dehua Cheng, Natali Ruchansky, Yan Liu:
Matrix completability analysis via graph k-connectivity. AISTATS 2018: 395-403 - 2017
- [c9]Natali Ruchansky, Sungyong Seo, Yan Liu:
CSI: A Hybrid Deep Model for Fake News Detection. CIKM 2017: 797-806 - [c8]Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CIKM 2017: 879-888 - [c7]Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Targeted matrix completion. SDM 2017: 255-263 - [i6]Natali Ruchansky, Sungyong Seo, Yan Liu:
CSI: A Hybrid Deep Model for Fake News. CoRR abs/1703.06959 (2017) - [i5]Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Targeted matrix completion. CoRR abs/1705.00375 (2017) - [i4]Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Matrix completion with queries. CoRR abs/1705.00399 (2017) - [i3]Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CoRR abs/1709.01123 (2017) - 2016
- [b1]Natali Ruchansky:
Matrix completion with structure. Boston University, USA, 2016 - 2015
- [c6]Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Matrix Completion with Queries. KDD 2015: 1025-1034 - [c5]Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector Problem. SIGMOD Conference 2015: 1587-1602 - [i2]Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector. CoRR abs/1504.00513 (2015) - 2013
- [c4]Natali Ruchansky, Davide Proserpio:
A (not) NICE way to verify the openflow switch specification: formal modelling of the openflow switch using alloy. SIGCOMM 2013: 527-528 - 2012
- [c3]Gonca Gürsun, Natali Ruchansky, Evimaria Terzi, Mark Crovella:
Routing state distance: a path-based metric for network analysis. Internet Measurement Conference 2012: 239-252 - [c2]Gonca Gürsun, Natali Ruchansky, Evimaria Terzi, Mark Crovella:
Inferring visibility: who's (not) talking to whom? SIGCOMM 2012: 151-162 - [i1]Gonca Gürsun, Natali Ruchansky, Evimaria Terzi, Mark Crovella:
Inferring Visibility: Who's (Not) Talking to Whom? Adv. Math. Commun. 1 (2012) - 2011
- [c1]Natali Ruchansky, Claire Lochner, Elizabeth Do, Tremaine Rawls, Mohamed Nabil Hajj Chehade, Jay Chien, Gregory J. Pottie, William J. Kaiser:
Monitoring workspace activities using accelerometers. ICASSP 2011: 1837-1839
Coauthor Index
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