Zed Lee

According to our database, Zed Lee authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Z-Time: efficient and effective interpretable multivariate time series classification.

Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Data Min. Knowl. Discov., January, 2024

Castor: Competing shapelets for fast and accurate time series classification.

Isak Samsten, Zed Lee

CoRR, 2024

2023

Z-Series: Mining and learning from complex sequential data.

Zed Lee

PhD thesis, 2023

Distributional Data Augmentation Methods for Low Resource Language.

Mosleh Mahamud, Zed Lee, Isak Samsten

CoRR, 2023

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces.

Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Finding Local Groupings of Time Series.

Zed Lee, Marco Trincavelli, Panagiotis Papapetrou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

JUICE: JUstIfied Counterfactual Explanations.

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots.

Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Automated Grading of Exam Responses: An Extensive Classification Benchmark.

Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou, Uno Fors

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification.

Zed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals.

Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events.

Zed Lee, Jonathan Rebane, Panagiotis Papapetrou

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020