| Certifiable unlearning pipelines for logistic regression: An experimental study A Mahadevan, M Mathioudakis Machine Learning and Knowledge Extraction 4 (3), 591-620, 2022 | 52* | 2022 |
| Reception reader: Exploring text reuse in early modern british publications D Rosson, E Mäkelä, V Vaara, A Mahadevan, Y Ryan, M Tolonen arXiv preprint arXiv:2302.04084, 2023 | 10 | 2023 |
| Cost-aware retraining for machine learning A Mahadevan, M Mathioudakis Knowledge-Based Systems 293, 111610, 2024 | 8* | 2024 |
| Cache friendly strategies to optimize matrix multiplication M Ananth, S Vishwas, MR Anala 2017 IEEE 7th International Advance Computing Conference (IACC), 23-27, 2017 | 4 | 2017 |
| Scalably using node attributes and graph structure for node classification A Merchant, A Mahadevan, M Mathioudakis Entropy 24 (7), 906, 2022 | 3 | 2022 |
| Optimizing a Data Science System for Text Reuse Analysis A Mahadevan, M Mathioudakis, E Mäkelä, M Tolonen arXiv preprint arXiv:2401.07290, 2024 | 1 | 2024 |
| Robustness of Sketched Linear Classifiers to Adversarial Attacks A Mahadevan, A Merchant, Y Wang, M Mathioudakis Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
| Scaling and Maintaining Machine Learning Pipelines A Mahadevan Helsingin yliopisto, 2024 | | 2024 |
| A Comparative text similarity analysis of the works of Bernard Mandeville YC Ryan, A Mahadevan, M Tolonen Digital Enlightenment Studies 1 (1), 28-58, 2023 | | 2023 |
| Provable randomized rounding for minimum-similarity diversification B Ordozgoiti, A Mahadevan, A Matakos, A Gionis Data mining and knowledge discovery 36 (2), 709-738, 2022 | | 2022 |
| Vote Prediction Models for Signed Social Networks A Mahadevan | | 2020 |
| Text Reuse In Large Historical Corpora: Insights from the Optimization of a Data Science System [Scalable Data Science] A Mahadevan, M Mathioudakis, E Mäkelä, M Tolonen | | |
Michael MathioudakisAssociate Professor at University of HelsinkiVerified email at helsinki.fi
