A Survey on Time-Series Distance Measures
Published in ArXiv, 2024
Publications
You can also find my articles on my Google Scholar profile.
Books
Journal Articles
Efficient detection of multivariate correlations with different correlation measures
Published in The VLDB Journal, 2023
Conference Papers
Physics-Constrained Deep Learning for Downscaling Atmospheric Chemistry Simulations: The Role of Auxiliary Forcings and Model Architecture
Published in EGU General Assembly 2026, 2026
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance
Published in VLDB 2026, 2025
Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations
Published in Arxiv, 2025
A Structured Study of Multivariate Time-Series Distance Measures
Published in SIGMOD, 2025
MULISSE: Variable-Length Similarity Search for Multivariate Time Series
Published in ICDE, 2025
Multivariate Similarity Search-A Call for a New Breed of Similarity Search Algorithms
Published in ICDE, 2024
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures
Published in ICDE, 2024
Multivariate correlations discovery in static and streaming data
Published in VLDB, 2022
Evaluation of computer-tailored motivational messaging in a health promotion context
Published in CONTEXT, 2019