| Alternatives to peer review: novel approaches for research evaluation A Birukou, JR Wakeling, C Bartolini, F Casati, M Marchese, K Mirylenka, ... Frontiers in computational neuroscience 5, 56, 2011 | 97 | 2011 |
| Uncertain time-series similarity: Return to the basics M Dallachiesa, B Nushi, K Mirylenka, T Palpanas arXiv preprint arXiv:1208.1931, 2012 | 72 | 2012 |
| On peer review in computer science: Analysis of its effectiveness and suggestions for improvement A Ragone, K Mirylenka, F Casati, M Marchese Scientometrics 97, 317-356, 2013 | 49 | 2013 |
| Conditional heavy hitters: detecting interesting correlations in data streams K Mirylenka, G Cormode, T Palpanas, D Srivastava The VLDB Journal 24, 395-414, 2015 | 38 | 2015 |
| Characterizing home device usage from wireless traffic time series K Mirylenka, V Christophides, T Palpanas, I Pefkianakis, M May 19th International Conference on Extending Database Technology (EDBT), 2016 | 26 | 2016 |
| Fast record linkage for company entities T Gschwind, C Miksovic, J Minder, K Mirylenka, P Scotton 2019 IEEE International Conference on Big Data (Big Data), 623-630, 2019 | 23 | 2019 |
| A quantitative analysis of peer review A Ragone, K Mirylenka, F Casati, M Marchese in13th International Society of Scientometrics and Informetrics Conference …, 2011 | 23 | 2011 |
| Data series similarity using correlation-aware measures K Mirylenka, M Dallachiesa, T Palpanas Proceedings of the 29th International Conference on Scientific and …, 2017 | 17 | 2017 |
| Siamese graph neural networks for data integration E Krivosheev, M Atzeni, K Mirylenka, P Scotton, F Casati arXiv preprint arXiv:2001.06543, 2020 | 16 | 2020 |
| Finding interesting correlations with conditional heavy hitters K Mirylenka, T Palpanas, G Cormode, D Srivastava 2013 IEEE 29th International Conference on Data Engineering (ICDE), 1069-1080, 2013 | 16 | 2013 |
| Similarity matching for uncertain time series: analytical and experimental comparison M Dallachiesa, B Nushi, K Mirylenka, T Palpanas Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and …, 2011 | 14 | 2011 |
| On classifier behavior in the presence of mislabeling noise K Mirylenka, G Giannakopoulos, LM Do, T Palpanas Data mining and knowledge discovery 31, 661-701, 2017 | 12 | 2017 |
| Investigating active learning sampling strategies for extreme multi label text classification L Wertz, K Mirylenka, J Kuhn, J Bogojeska Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 9 | 2022 |
| Reviewing peer review: a quantitative analysis of peer review F Casati, M Marchese, K Mirylenka, A Ragone University of Trento, 2010 | 9 | 2010 |
| Business entity matching with siamese graph convolutional networks E Krivosheev, M Atzeni, K Mirylenka, P Scotton, C Miksovic, A Zorin Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16054 …, 2021 | 7 | 2021 |
| Hidden Layer Models for Company Representations and Product Recommendations. K Mirylenka, P Scotton, C Miksovic, J Dillon EDBT, 468-476, 2019 | 6 | 2019 |
| Applicability of Latent Dirichlet Allocation for Company Modeling K Mirylenka, C Miksovic, P Scotton 16th Industrial Conference on Data Mining (ICDM 2016), 55-60, 2016 | 6 | 2016 |
| Recurrent Neural Networks for Modeling Company-Product Time Series K Mirylenka, C Miksovic, P Scotton 2nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data …, 2016 | 5 | 2016 |
| Linking IT product records K Mirylenka, P Scotton, C Miksovic, SEB Alaoui Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 4 | 2020 |
| Correlation-Aware Distance Measures for Data Series. K Mirylenka, M Dallachiesa, T Palpanas EDBT, 502-505, 2017 | 4 | 2017 |
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)在 mi.parisdescartes.fr 的电子邮件经过验证
