Zed Lee

Orcid: 0000-0001-7920-7669

According to our database1, Zed Lee authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Ijuice: integer JUstIfied counterfactual explanations.
Mach. Learn., July, 2024

Z-Time: efficient and effective interpretable multivariate time series classification.
Data Min. Knowl. Discov., January, 2024

Castor: Competing shapelets for fast and accurate time series classification.
CoRR, 2024

Interpretable and Explainable Time Series Mining.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Interpretable Caries Development Prediction with Event Intervals.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Z-Series: Mining and learning from complex sequential data.
PhD thesis, 2023

Distributional Data Augmentation Methods for Low Resource Language.
CoRR, 2023

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Finding Local Groupings of Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

JUICE: JUstIfied Counterfactual Explanations.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Automated Grading of Exam Responses: An Extensive Classification Benchmark.
Proceedings of the Discovery Science - 24th International Conference, 2021

2020
Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals.
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.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020


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