mlsanityData to 7 Oct 2026

QUANT: A Minimalist Interval Method for Time Series Classification

arXiv 2308.00928 ↗First posted 2 Aug 2023cs.LGcited by 15

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Abstract (arXiv)

We show that it is possible to achieve the same accuracy, on average, as the most accurate existing interval methods for time series classification on a standard set of benchmark datasets using a single type of feature (quantiles), fixed intervals, and an 'off the shelf' classifier. This distillation of interval-based approaches represents a fast and accurate method for time series classification, achieving state-of-the-art accuracy on the expanded set of 142 datasets in the UCR archive with a total compute time (training and inference) of less than 15 minutes using a single CPU core.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 21 of its 45 references that are in the map. First posted on arXiv 2 Aug 2023.

Builds on

21 of 45 references.

References · 21

  1. 2018The UCR Time Series Archivecited by 421
  2. 2019InceptionTime: Finding AlexNet for Time Series Classificationcited by 386
  3. 2019ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernelscited by 336
  4. 2020MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classificationcited by 186
  5. 2021HIVE-COTE 2.0: a new meta ensemble for time series classificationcited by 118
  6. 2019catch22: CAnonical Time-series CHaracteristicscited by 103
  7. 2023Bake off redux: a review and experimental evaluation of recent time series classification algorithmscited by 99
  8. 2021MultiRocket: Multiple pooling operators and transformations for fast and effective time series classificationcited by 89
  9. 2013A Time Series Forest for Classification and Feature Extractioncited by 69
  10. 2014Understanding Random Forests: From Theory to Practicecited by 57
  11. 2022HYDRA: Competing convolutional kernels for fast and accurate time series classificationcited by 53
  12. 2020The Canonical Interval Forest (CIF) Classifier for Time Series Classificationcited by 48
9 more
  1. 2017Fast and Accurate Time Series Classification with WEASELcited by 47
  2. 2018Proximity Forest: An effective and scalable distance-based classifier for time seriescited by 46
  3. 2023An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Setcited by 27
  4. 2021The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classificationcited by 26
  5. 2021Random Dilated Shapelet Transform: A New Approach for Time Series Shapeletscited by 22
  6. 2022The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifiercited by 18
  7. 2021Fast, Accurate and Interpretable Time Series Classification Through Randomizationcited by 5
  8. 2023Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time seriescited by 5
  9. 2023Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classificationcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 8.

15 papers.

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  1. 2025MONSTER: Monash Scalable Time Series Evaluation Repositorycited by 6
  2. 2026The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classificationcited by 3
  3. 2024Time series classification with random convolution kernels: pooling operators and input representations mattercited by 2
  4. 2025An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classificationcited by 1
  5. 2025Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarioscited by 1
  6. 2026Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verificationcited by 1
  7. 2026In-Context Time Series Classification with Random Convolutional Featurescited by 1
  8. 2024A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Seriescited by 0
  9. 2025Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularizationcited by 0
  10. 2025Learning Interpretable Differentiable Logic Networks for Time-Series Classificationcited by 0
  11. 2026Pruning Extensions and Efficiency Trade-Offs for Sustainable Time Series Classificationcited by 0
  12. 2026Univariate Channel Fusion for Multivariate Time Series Classificationcited by 0
3 more
  1. 2026A Simple State Space Model Excels at Multivariate Time Series Classificationcited by 0
  2. 2026Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcitycited by 0
  3. 2026KellyBoost: Growth-Optimal Portfolio Construction with Gradient-Boosted Treescited by 0