Cargando…
Matrix Profile-Based Interpretable Time Series Classifier
Time series classification (TSC) is a pervasive and transversal problem in various fields ranging from disease diagnosis to anomaly detection in finance. Unfortunately, the most effective models used by Artificial Intelligence (AI) systems for TSC are not interpretable and hide the logic of the deci...
Autores principales: | Guidotti, Riccardo, D’Onofrio, Matteo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564499/ https://www.ncbi.nlm.nih.gov/pubmed/34746768 http://dx.doi.org/10.3389/frai.2021.699448 |
Ejemplares similares
-
An artificial intelligence-based classifier for musical emotion expression in media education
por: Lian, Jue
Publicado: (2023) -
A Matrix-Variate t Model for Networks
por: Billio, Monica, et al.
Publicado: (2021) -
Interpretability With Accurate Small Models
por: Ghose, Abhishek, et al.
Publicado: (2020) -
Full depth CNN classifier for handwritten and license plate characters recognition
por: Salemdeeb, Mohammed, et al.
Publicado: (2021) -
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers
por: Albini, Emanuele, et al.
Publicado: (2023)