Representation of Incompletely Specified Index Generation Functions Using Minimal Number of Compound Variables. - Tsutomu Sasao; Takaaki Nakamura; Munehiro Matsuura (DSD, 2009)

MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. - Takaaki Nakamura; Makoto Imamura; Ryan Mercer; Eamonn J. Keogh (ICDM, 2020)

Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness. - Makoto Imamura; Takaaki Nakamura; Eamonn J. Keogh (KDD, 2020)

Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. - Makoto Imamura; Takaaki Nakamura (ICDM, 2021)

A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. - Makoto Imamura; Takaaki Nakamura (ICDM, 2023)

Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. - Yue Lu 003; Thirumalai Vinjamoor Akhil Srinivas; Takaaki Nakamura; Makoto Imamura; Eamonn J. Keogh (ICDM, 2023)

Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation. - Makoto Imamura; Takaaki Nakamura (KDD, 2023)

MERLIN++: parameter-free discovery of time series anomalies. - Takaaki Nakamura; Ryan Mercer; Makoto Imamura; Eamonn J. Keogh (Data Min. Knowl. Discov., 2023)

Efficient Discovery of Time Series Motifs under both Length Differences and Warping. - Makoto Imamura; Takaaki Nakamura (KDD, 2024)