Charles Truong

Orcid: 0000-0002-8527-8161

According to our database1, Charles Truong authored at least 30 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Time Series Motif Discovery: A Comprehensive Evaluation.
Proc. VLDB Endow., March, 2025

Covariance Change Point Detection for Graph Signals.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Convolutional Sparse Coding with Multipath Orthogonal Matching Pursuit.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Change Point Detection in Hadamard Spaces by Alternating Minimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Convolutional Sparse Coding for Time Series Via a ℓ 0 Penalty: An Efficient Algorithm With Statistical Guarantees.
Stat. Anal. Data Min., December, 2024

Persistence-Based Motif Discovery in Time Series.
IEEE Trans. Knowl. Data Eng., November, 2024

Interactive Motif Discovery in Time Series with Persistent Homology.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Shape analysis for time series.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Linear-trend normalization for multivariate subsequence similarity search.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Symbolic Representation for Time Series.
Proceedings of the 32nd European Signal Processing Conference, 2024

Structured Loss for Deep Change-Point Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

Photobleaching Step Counting and Localization for Fluorescence Microscopy.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment.
Sensors, 2023

A Data Set for Fall Detection with Smart Floor Sensors.
Image Process. Line, 2023

ASTRIDE: Adaptive Symbolization for Time Series Databases.
CoRR, 2023

An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals.
Proceedings of the IEEE International Conference on Data Mining, 2023

Supervised Change-Point Detection with Dimension Reduction.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Unsupervised study of plethysmography signals through DTW clustering.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Bayesian Feature Discovery for Predictive Maintenance.
Proceedings of the 29th European Signal Processing Conference, 2021

Adaptive Change-Point Detection for Studying Human Locomotion.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Selective review of offline change point detection methods.
Signal Process., 2020

Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions.
CoRR, 2020

2019
Greedy Kernel Change-Point Detection.
IEEE Trans. Signal Process., 2019

A Data Set for the Study of Human Locomotion with Inertial Measurements Units.
Image Process. Line, 2019

Supervised Kernel Change Point Detection with Partial Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Template-Based Step Detection with Inertial Measurement Units.
Sensors, 2018

ruptures: change point detection in Python.
CoRR, 2018

A review of change point detection methods.
CoRR, 2018

2017
Penalty learning for changepoint detection.
Proceedings of the 25th European Signal Processing Conference, 2017


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