| Event detection in activity networks P Rozenshtein, A Anagnostopoulos, A Gionis, N Tatti Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 107 | 2014 |
| Reconstructing an epidemic over time P Rozenshtein, A Gionis, BA Prakash, J Vreeken Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 37 | 2016 |
| Temporal pagerank P Rozenshtein, A Gionis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 29 | 2016 |
| Discovering dynamic communities in interaction networks P Rozenshtein, N Tatti, A Gionis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 27 | 2014 |
| Finding dynamic dense subgraphs P Rozenshtein, N Tatti, A Gionis ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017 | 22 | 2017 |
| 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 | 21 | 2017 |
| 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 | 15 | 2020 |
| Mining temporal networks P Rozenshtein, A Gionis Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 10 | 2019 |
| 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 | 7 | 2018 |
| 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 | 6 | 2017 |
| 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 | 5 | 2016 |
| 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 | 2 | 2021 |
| 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 | 1 | 2020 |
| ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks. G Preti, P Rozenshtein, A Gionis, Y Velegrakis ICDM Workshops, 1114-1117, 2019 | 1 | 2019 |
| 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 | 1 | 2018 |
| Methods for analyzing temporal networks P Rozenshtein Aalto University, 2018 | 1 | 2018 |
| Discovering Dense Correlated Subgraphs in Dynamic Networks G Preti, P Rozenshtein, A Gionis, Y Velegrakis arXiv preprint arXiv:2103.00451, 2021 | | 2021 |
| 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 |
