Results 101 to 110 of about 20,272,779 (202)
Dynamic Time Warping (DTW) offers precise similarity measure but suffers from high computational cost. To address this issue, we propose an abstract-adaptive PAR-DTW, which computes DTW in a low-dimensional piecewise abstract representation (PAR) space ...
Qinglin Cai +3 more
doaj +1 more source
TSec:An Efficient and Effective Framework for Time Series Classification
Time series classification assigns predefined labels or classes to sequences of data points ordered chronologically, which is a fundamental task for time series analysis. Existing time series classification methods mainly focus on a specific type of time
Jie, Hailiang +5 more
core +1 more source
Time-series visual representations for sleep stages classification.
Polysomnography is the standard method for sleep stage classification; however, it is costly and requires controlled environments, which can disrupt natural sleep patterns.
Rebeca Padovani Ederli +4 more
doaj +1 more source
On Multivariate Financial Time Series Classification
This article investigates the use of Machine Learning and Deep Learning models in multivariate time series analysis within financial markets. It compares small and big data approaches, focusing on their distinct challenges and the benefits of scaling. Traditional methods such as SVMs are contrasted with modern architectures like ConvTimeNet.
openaire +3 more sources
Consists of film clips of World War II events, including Mussolini\u27s invasion of Ethiopia and Hitler\u27s march into Austria.
Time-Life Video
core
FroHyNet: frozen temporal priors and trainable hypergraph fusion for brain time-series classification. [PDF]
Gao M +6 more
europepmc +1 more source
Unified time series classification framework for explainable artificial intelligence. [PDF]
Bragança H, Souto E.
europepmc +1 more source
Reservoir based spiking models for univariate Time Series Classification. [PDF]
Gaurav R, Stewart TC, Yi Y.
europepmc +1 more source
HERA: a Hybrid Euler Reservoir Architecture for multivariate time series classification. [PDF]
Zhang S, Le W, Jia ZH, Wu H.
europepmc +1 more source
Spikebench: An open benchmark for spike train time-series classification. [PDF]
Lazarevich I +3 more
europepmc +1 more source

