Fetching the paper…
Reading the bibliography…
In this paper, we propose a dimensionless anomaly detection method for multivariate streams.
On the generalized distance in statistics
P. C. Mahalanobis · 1936
Earlier work this paper cites.
Lof: Identifying density-based local outliers
M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander · 2000
Earlier work this paper cites.
Self-supervised contrastive pre-training for time series via time-frequency consistency
X. Zhang, Z. Zhao, T. Tsiligkaridis, and M. Zitnik · 2006
Earlier work this paper cites.
Differential equations driven by rough paths
T. J. Lyons, M. Caruana, and T. Lévy · 2007
Earlier work this paper cites.
Isolation forest
F. T. Liu, K. M. Ting, and Z.-H. Zhou · 2008
Earlier work this paper cites.
Time series shapelets: a new primitive for data mining
L. Ye and E. Keogh · 2009
Earlier work this paper cites.
Uniqueness for the signature of a path of bounded variation and the reduced path group
B. Hambly and T. Lyons · 2010
Earlier work this paper cites.
Detecting anomalies in unmanned vehicles using the mahalanobis distance
R. Lin, E. Khalastchi, and G. A. Kaminka · 2010
Earlier work this paper cites.
Rough paths, signatures and the modelling of functions on streams
T. Lyons · 2014
Earlier work this paper cites.
Large-scale unusual time series detection
R. J. Hyndman, E. Wang, and N. Laptev · 2015
Earlier work this paper cites.
Anomaly detection for igbts using mahalanobis distance
N. Patil, D. Das, and M. Pecht · 2015
Earlier work this paper cites.
Re-evaluating the role of the mahalanobis distance measure
R. G. Brereton and G. R. Lloyd · 2016
Cited alongside, same era.
A primer on the signature method in machine learning
I. Chevyrev and A. Kormilitzin · 2016
Cited alongside, same era.
UCI machine learning repository, 2017
D. Dua and C. Graff · 2017
Cited alongside, same era.
Md-based approaches for system health monitoring: a review
X. Jin, Y. Wang, T. W. Chow, and Y. Sun · 2017
Cited alongside, same era.
Anomaly detection in bitcoin network using unsupervised learning methods, 2017
T. Pham and S. Lee · 2017
Cited alongside, same era.
Unsupervised outlier detection for time series by entropy and dynamic time warping
S.-E. Benkabou, K. Benabdeslem, and B. Canitia · 2018
Why is the mahalanobis distance effective for anomaly detection?
R. Kamoi and K. Kobayashi · 2020
Closest in time.
A generalised signature method for multivariate time series feature extraction
J. Morrill, A. Fermanian, P. Kidger, and T. Lyons · 2020
Closest in time.
Dynamic relationship identification for abnormality detection on financial time series
G. Li and J. J. Jung · 2021
Closest in time.
Hive-cote 2.0: a new meta ensemble for time series classification
M. Middlehurst, J. Large, M. Flynn, J. Lines, A. Bostrom, and A. Bagnall · 2021
Closest in time.
Anomaly detection in image datasets using convolutional neural networks, center loss, and mahalanobis distance
G. Vareldzhan, K. Yurkov, and K. Ushenin · 2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Iterative solution of sparse linear least squares using lu factorization
G. W. Howell and M. Baboulin · 2018
Cited alongside, same era.
Time series anomaly detection based on shapelet learning
L. Beggel, B. X. Kausler, M. Schiegg, M. Pfeiffer, and B. Bischl · 2019
Cited alongside, same era.
Mad-gan: Multivariate anomaly detection for time series data with generative adversarial networks
D. Li, D. Chen, B. Jin, L. Shi, J. Goh, and S.-K. Ng · 2019
Cited alongside, same era.
The UEA & UCR time series classification repository, 2020
A. Bagnall, J. Lines, W. Vickers, and E. Keogh · 2020
Cited alongside, same era.
Time series anomaly detection with variational autoencoder using mahalanobis distance
L. Gjorgiev and S. Gievska · 2020
Cited alongside, same era.
Wind turbine anomaly detection using mahalanobis distance and scada alarm data
J.-H. Liu, N. T. Corbita, R.-M. Lee, and C.-C. Wang · 2022
Closest in time.
Hydra: Competing convolutional kernels for fast and accurate time series classification
A. Dempster, D. F. Schmidt, and G. I. Webb · 2023
Closest in time.
New directions in the applications of rough path theory
A. Fermanian, T. Lyons, J. Morrill, and C. Salvi · 2023
Closest in time.
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
M. Middlehurst, P. Schäfer, and A. Bagnall · 2023
Closest in time.
Temporal dependence mahalanobis distance for anomaly detection in multivariate spacecraft telemetry series
J. Pang, D. Liu, Y. Peng, and X. Peng · 2023
Closest in time.