Charlotte Pelletier | DeepAI

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∙ 08/24/2023

Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment

While large volumes of unlabeled data are usually available, associated ...

0 François Painblanc, et al. ∙

∙ 03/17/2022

Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding

Large-scale crop type classification is a task at the core of remote sen...

0 Joachim Nyborg, et al. ∙

∙ 11/04/2021

TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation

The recent developments of deep learning models that capture the complex...

0 Joachim Nyborg, et al. ∙

∙ 02/20/2021

Elastic Similarity Measures for Multivariate Time Series Classification

Elastic similarity measures are a class of similarity measures specifica...

0 Ahmed Shifaz, et al. ∙

∙ 05/25/2020

A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping

Land cover maps are a vital input variable to many types of environmenta...

38 Benjamin Lucas, et al. ∙

∙ 09/11/2019

InceptionTime: Finding AlexNet for Time Series Classification

Time series classification (TSC) is the area of machine learning interes...

135 Hassan Ismail Fawaz, et al. ∙

∙ 09/11/2019

DreamTime: Finding AlexNet for Time Series Classification

Time series classification (TSC) is the area of machine learning interes...

0 Hassan Ismail Fawaz, et al. ∙

∙ 06/25/2019

TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification

Time Series Classification (TSC) has seen enormous progress over the las...

0 Ahmed Shifaz, et al. ∙

∙ 11/26/2018

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

New remote sensing sensors acquire now high spatial and spectral Satelli...

0 Charlotte Pelletier, et al. ∙

∙ 08/31/2018

Proximity Forest: An effective and scalable distance-based classifier for time series

Research into the classification of time series has made enormous progre...

0 Benjamin Lucas, et al. ∙

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