Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. - Zed Lee; Jonathan Rebane; Panagiotis Papapetrou (CBMS, 2020)

Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. - Zed Lee; Tony Lindgren; Panagiotis Papapetrou (KDD, 2020)

Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. - Zed Lee; Sarunas Girdzijauskas; Panagiotis Papapetrou (ECML/PKDD (1), 2020)

Automated Grading of Exam Responses: An Extensive Classification Benchmark. - Jimmy Ljungman; Vanessa Lislevand; John Pavlopoulos; Alexandra Farazouli; Zed Lee; Panagiotis Papapetrou; Uno Fors (DS, 2021)

Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. - Zed Lee; Nicholas Anton; Panagiotis Papapetrou; Tony Lindgren (IDA, 2021)

JUICE: JUstIfied Counterfactual Explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (DS, 2022)

Finding Local Groupings of Time Series. - Zed Lee; Marco Trincavelli; Panagiotis Papapetrou (ECML/PKDD (6), 2022)

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. - Alejandro Kuratomi; Zed Lee; Ioanna Miliou; Tony Lindgren; Panagiotis Papapetrou (DSAA, 2023)

Distributional Data Augmentation Methods for Low Resource Language. - Mosleh Mahamud; Zed Lee; Isak Samsten (CoRR, 2023)

Z-Series: Mining and learning from complex sequential data. - Zed Lee (2023)

Interpretable Caries Development Prediction with Event Intervals. - Zed Lee; Álfheidur Ástvaldsdóttir; Hans Sandberg; Panagiotis Papapetrou; Uno Fors (CBMS, 2024)

Interpretable and Explainable Time Series Mining. - Panagiotis Papapetrou; Zed Lee (DSAA, 2024)

Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection. - Zed Lee (HI-AI@KDD, 2024)

CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification. - Alejandro Kuratomi; Zed Lee; Panayiotis Tsaparas; Guilherme Dinis Junior; Evaggelia Pitoura; Tony Lindgren; Panagiotis Papapetrou (ICDM, 2024)

Castor: Competing shapelets for fast and accurate time series classification. - Isak Samsten; Zed Lee (CoRR, 2024)

Z-Time: efficient and effective interpretable multivariate time series classification. - Zed Lee; Tony Lindgren; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2024)

Ijuice: integer JUstIfied counterfactual explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (Mach. Learn., 2024)

CRITS: Convolutional Rectifier for Interpretable Time Series Classification. - Alejandro Kuratomi; Zed Lee; Guilherme Dinis Junior; Tony Lindgren; Diego García-Pérez (CoRR, 2025)