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
1002014
Reconstructing an epidemic over time
P Rozenshtein, A Gionis, BA Prakash, J Vreeken
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
292016
Temporal pagerank
P Rozenshtein, A Gionis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
282016
Discovering dynamic communities in interaction networks
P Rozenshtein, N Tatti, A Gionis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
282014
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
232017
Finding dynamic dense subgraphs
P Rozenshtein, N Tatti, A Gionis
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017
172017
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
92020
Mining Temporal Networks
P Rozenshtein, A Gionis
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
62019
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
62017
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
52016
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
42018
The network-untangling problem: From interactions to activity timelines
P Rozenshtein, N Tatti, A Gionis
Data Mining and Knowledge Discovery, 1-35, 2020
22020
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
12020
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
12018
Methods for analyzing temporal networks
P Rozenshtein
Aalto University, 2018
12018
Mining Dense Subgraphs with Similar Edges
P Rozenshtein, G Preti, A Gionis, Y Velegrakis
arXiv preprint arXiv:2007.03950, 2020
2020
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, 1-41, 2020
2020
The network-untangling problem
P Rozenshtein, N Tatti, A Gionis
SPRINGER, 2020
2020
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
2019
Finding events in temporal networks
P Rozenshtein, F Bonchi, A Gionis, M Sozio, N Tatti
Springer London, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20