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Zed Lee
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2020 – today
- 2024
- [j2]Zed Lee
, Tony Lindgren, Panagiotis Papapetrou:
Z-Time: efficient and effective interpretable multivariate time series classification. Data Min. Knowl. Discov. 38(1): 206-236 (2024) - [j1]Alejandro Kuratomi
Ijuice: integer JUstIfied counterfactual explanations. Mach. Learn. 113(8): 5731-5771 (2024) - [c11]Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors:
Interpretable Caries Development Prediction with Event Intervals. CBMS 2024: 430-435 - [c10]Panagiotis Papapetrou, Zed Lee:
Interpretable and Explainable Time Series Mining. DSAA 2024: 1-3 - [c9]Zed Lee:
Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection. HI-AI@KDD 2024: 95-101 - [i2]Isak Samsten, Zed Lee:
Castor: Competing shapelets for fast and accurate time series classification. CoRR abs/2403.13176 (2024) - 2023
- [b1]Zed Lee:
Z-Series: Mining and learning from complex sequential data. Stockholm University, Sweden, 2023 - [c8]Alejandro Kuratomi, Zed Lee, Ioanna Miliou
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. DSAA 2023: 1-10 - [i1]Mosleh Mahamud, Zed Lee, Isak Samsten:
Distributional Data Augmentation Methods for Low Resource Language. CoRR abs/2309.04862 (2023) - 2022
- [c7]Alejandro Kuratomi, Ioanna Miliou
JUICE: JUstIfied Counterfactual Explanations. DS 2022: 493-508 - [c6]Zed Lee, Marco Trincavelli, Panagiotis Papapetrou:
Finding Local Groupings of Time Series. ECML/PKDD (6) 2022: 70-86 - 2021
- [c5]Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli
Automated Grading of Exam Responses: An Extensive Classification Benchmark. DS 2021: 3-18 - [c4]Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren:
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. IDA 2021: 376-388 - 2020
- [c3]Zed Lee, Jonathan Rebane, Panagiotis Papapetrou:
Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. CBMS 2020: 289-292 - [c2]Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. KDD 2020: 524-534 - [c1]Zed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou:
Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. ECML/PKDD (1) 2020: 710-726
Coauthor Index
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last updated on 2024-12-05 20:46 CET by the dblp team
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