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EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height.

, , , , и . Knowl. Based Syst., (2024)

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Ignacio Rubio

Felipe Rubio

Jordi Rubió i Coromina Universitat de Barcelona

Mónica Rubiolo González

Miguel Rubio

 

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Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification., , , и . SOCO, том 531 из Lecture Notes in Networks and Systems, стр. 146-155. Springer, (2022)Energy Flux Prediction Using an Ordinal Soft Labelling Strategy., , , , , , и . IWINAC (2), том 14675 из Lecture Notes in Computer Science, стр. 283-292. Springer, (2024)A Hands-on Introduction to Time Series Classification and Regression., , , , , , , , и . KDD, стр. 6410-6411. ACM, (2024)Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification., , , , , и . IWANN (2), том 14135 из Lecture Notes in Computer Science, стр. 505-516. Springer, (2023)Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain., , , и . IWINAC (1), том 13259 из Lecture Notes in Computer Science, стр. 462-471. Springer, (2022)Ordinal Versus Nominal Time Series Classification., , , и . AALTD@PKDD/ECML, том 12588 из Lecture Notes in Computer Science, стр. 19-29. Springer, (2020)Clustering Time Series with k-Medoids Based Algorithms., , и . AALTD@ECML/PKDD, том 14343 из Lecture Notes in Computer Science, стр. 39-55. Springer, (2023)dlordinal: a Python package for deep ordinal classification., , , , , , и . CoRR, (2024)Age Estimation Using Soft Labelling Ordinal Classification Approaches., , , , , и . CAEPIA, том 14640 из Lecture Notes in Computer Science, стр. 40-49. Springer, (2024)Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines., , , , , , и . CAEPIA, том 9868 из Lecture Notes in Computer Science, стр. 300-309. Springer, (2016)