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Polina Rozenshtein
Polina Rozenshtein
Postdoctoral researcher, Aalto University
Verified email at aalto.fi
Title
Cited by
Cited by
Year
Event detection in activity networks
P Rozenshtein, A Anagnostopoulos, A Gionis, N Tatti
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1362014
Reconstructing an epidemic over time
P Rozenshtein, A Gionis, BA Prakash, J Vreeken
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
692016
Temporal pagerank
P Rozenshtein, A Gionis
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
582016
Finding events in temporal networks: segmentation meets densest subgraph discovery
P Rozenshtein, F Bonchi, A Gionis, M Sozio, N Tatti
Knowledge and Information Systems 62 (4), 1611-1639, 2020
462020
Discovering dynamic communities in interaction networks
P Rozenshtein, N Tatti, A Gionis
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
412014
Mining temporal networks
P Rozenshtein, A Gionis
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
392019
Inferring the strength of social ties: a community-driven approach
P Rozenshtein, N Tatti, A Gionis
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
362017
Finding dynamic dense subgraphs
P Rozenshtein, N Tatti, A Gionis
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017
352017
I Wish I Would Have Loved This One, But I Didn't--A Multilingual Dataset for Counterfactual Detection in Product Reviews
J O'Neill, P Rozenshtein, R Kiryo, M Kubota, D Bollegala
arXiv preprint arXiv:2104.06893, 2021
212021
Reconstructing a cascade from temporal observations
H Xiao, P Rozenshtein, N Tatti, A Gionis
Proceedings of the 2018 SIAM International Conference on Data Mining, 666-674, 2018
202018
The role of in-group bias and balanced data: A comparison of human and machine recidivism risk predictions
A Biswas, M Kolczynska, S Rantanen, P Rozenshtein
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable …, 2020
192020
The network-untangling problem: from interactions to activity timelines
P Rozenshtein, N Tatti, A Gionis
Data mining and knowledge discovery 35 (1), 213-247, 2021
152021
ESTeR: Combining word co-occurrences and word associations for unsupervised emotion detection
SD Gollapalli, P Rozenshtein, SK Ng
Findings of the Association for Computational Linguistics: EMNLP 2020, 1043-1056, 2020
132020
Community-aware network sparsification
A Gionis, P Rozenshtein, N Tatti, E Terzi
Proceedings of the 2017 SIAM International Conference on Data Mining, 426-434, 2017
112017
Relaxing the strong triadic closure problem for edge strength inference
F Adriaens, T De Bie, A Gionis, J Lijffijt, A Matakos, P Rozenshtein
Data Mining and Knowledge Discovery 34, 611-651, 2020
72020
Mining dense subgraphs with similar edges
P Rozenshtein, G Preti, A Gionis, Y Velegrakis
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
62021
Discovering topically-and temporally-coherent events in interaction networks
H Xiao, P Rozenshtein, A Gionis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
62016
Discovering Dense Correlated Subgraphs in Dynamic Networks
G Preti, P Rozenshtein, A Gionis, Y Velegrakis
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 395-407, 2021
22021
From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths
F Adriaens, T De Bie, A Gionis, J Lijffijt, P Rozenshtein
arXiv preprint arXiv:1802.03549, 2018
22018
Excode: a tool for discovering and visualizing regions of correlation in dynamic networks
G Preti, P Rozenshtein, A Gionis, Y Velegrakis
2019 International Conference on Data Mining Workshops (ICDMW), 1114-1117, 2019
12019
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Articles 1–20