| Z-miner: an efficient method for mining frequent arrangements of event intervals Z Lee, T Lindgren, P Papapetrou Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 23 | 2020 |
| Z-Time: efficient and effective interpretable multivariate time series classification Z Lee, T Lindgren, P Papapetrou Data mining and knowledge discovery 38 (1), 206-236, 2024 | 14 | 2024 |
| Development Concepts of Smart Service System‐based Smart Factory (4SF) H Lee, J Lee INCOSE international symposium 28 (1), 1153-1169, 2018 | 8 | 2018 |
| Z-hist: A temporal abstraction of multivariate histogram snapshots Z Lee, N Anton, P Papapetrou, T Lindgren Advances in Intelligent Data Analysis XIX: 19th International Symposium on …, 2021 | 5 | 2021 |
| Mining disproportional frequent arrangements of event intervals for investigating adverse drug events Z Lee, J Rebane, P Papapetrou 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 5 | 2020 |
| JUICE: JUstIfied counterfactual explanations A Kuratomi, I Miliou, Z Lee, T Lindgren, P Papapetrou International conference on discovery science, 493-508, 2022 | 4 | 2022 |
| Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification Z Lee, Š Girdzijauskas, P Papapetrou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 4 | 2021 |
| Smart Service System-based Architecture Design of Smart Factory H Lee, J Lee Journal of the Korean Society of Systems Engineering 13 (2), 57-64, 2017 | 4 | 2017 |
| Distributional Data Augmentation Methods for Low Resource Language M Mahamud, Z Lee, I Samsten The Thirty-Seventh AAAI Conference on Artificial Intelligence Workshops, 2022 | 3 | 2022 |
| Automated grading of exam responses: an extensive classification benchmark J Ljungman, V Lislevand, J Pavlopoulos, A Farazouli, Z Lee, ... Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 3 | 2021 |
| Finding Local Groupings of Time Series Z Lee, M Trincavelli, P Papapetrou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 2 | 2022 |
| Ijuice: integer JUstIfied counterfactual explanations A Kuratomi, I Miliou, Z Lee, T Lindgren, P Papapetrou Machine Learning 113 (8), 5731-5771, 2024 | 1 | 2024 |
| CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification A Kuratomi, Z Lee, P Tsaparas, GD Junior, E Pitoura, T Lindgren, ... 2024 IEEE International Conference on Data Mining (ICDM), 181-190, 2024 | | 2024 |
| Interpretable and Explainable Time Series Mining P Papapetrou, Z Lee 2024 IEEE 11th International Conference on Data Science and Advanced …, 2024 | | 2024 |
| Interpretable Caries Development Prediction with Event Intervals Z Lee, Á Ástvaldsdóttir, H Sandberg, P Papapertou, U Fors 2024 IEEE 37th International Symposium on Computer-Based Medical Systems …, 2024 | | 2024 |
| Castor: Competing shapelets for fast and accurate time series classification I Samsten, Z Lee arXiv preprint arXiv:2403.13176, 2024 | | 2024 |
| Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection Z Lee | | 2024 |
| ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces A Kuratomi, Z Lee, I Miliou, T Lindgren, P Papapetrou 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
| Z-Series: Mining and learning from complex sequential data Z Lee Department of Computer and Systems Sciences, Stockholm University, 2023 | | 2023 |
