Early Classification
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Benchmarks
ECG200
Most implemented
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
Early Classification of Time Series: Taxonomy and Benchmark
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
Papers
CACTUS as a Reliable Tool for Early Classification of Age-related Macular Degeneration
Machine Learning (ML) is used to tackle various tasks, such as disease classification and prediction. The effectiveness of ML models relies heavily on having large amounts of complete data. However, healthcare data is of…
ClassificationEarly ClassificationVisual Image Reconstruction from Brain Activity via Latent Representation
Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. This review traces th…
Early ClassificationImage ReconstructionZero-shot GeneralizationXMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics
Hand kinematics can be measured in Human-Computer Interaction (HCI) with the intention to predict the user's intention in a reach-to-grasp action. Using multiple hand sensors, multivariate time series data are being capt…
Early ClassificationTime SeriesLearning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
Time-sensitive machine learning benefits from Sequential Probability Ratio Test (SPRT), which provides an optimal stopping time for early classification of time series. However, in finite horizon scenarios, where input l…
Density Ratio EstimationEarly Classificationml_edm package: a Python toolkit for Machine Learning based Early Decision Making
\texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own t…
Decision MakingEarly ClassificationTime SeriesEarly Classification of Time Series: Taxonomy and Benchmark
In many situations, the measurements of a studied phenomenon are provided sequentially, and the prediction of its class needs to be made as early as possible so as not to incur too high a time penalty, but not too early …
ClassificationEarly ClassificationTime Series