| Event detection in activity networks P Rozenshtein, A Anagnostopoulos, A Gionis, N Tatti Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 135 | 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 | 68 | 2016 |
| Temporal pagerank P Rozenshtein, A Gionis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 55 | 2016 |
| 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 | 44 | 2020 |
| Discovering dynamic communities in interaction networks P Rozenshtein, N Tatti, A Gionis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 41 | 2014 |
| Mining temporal networks P Rozenshtein, A Gionis Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 39 | 2019 |
| 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 | 35 | 2017 |
| Finding dynamic dense subgraphs P Rozenshtein, N Tatti, A Gionis ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017 | 35 | 2017 |
| 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 | 20 | 2018 |
| 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 | 18 | 2020 |
| 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 | 15 | 2021 |
| 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 | 14 | 2021 |
| 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 | 12 | 2020 |
| 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 | 11 | 2017 |
| 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 | 7 | 2020 |
| Mining dense subgraphs with similar edges P Rozenshtein, G Preti, A Gionis, Y Velegrakis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 6 | 2021 |
| 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 | 6 | 2016 |
| 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 | 2 | 2021 |
| 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 | 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 |
