Francois Petitjean | DeepAI

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∙ 12/08/2021

Estimating Divergences in High Dimensions

The problem of estimating the divergence between 2 high dimensional dist...

0 Loong Kuan Lee, 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. ∙

∙ 02/14/2021

Tight lower bounds for Dynamic Time Warping

Dynamic Time Warping (DTW) is a popular similarity measure for aligning ...

0 Geoffrey I. Webb, et al. ∙

∙ 11/12/2020

Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning

Supervised learning, characterized by both discriminative and generative...

0 Yuan Jin, et al. ∙

∙ 06/27/2020

Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification

Stream classification methods classify a continuous stream of data as ne...

5 Rakshitha Wathsadini Godahewa, et al. ∙

∙ 06/23/2020

Time Series Regression

This paper introduces Time Series Regression (TSR): a little-studied tas...

0 Chang Wei Tan, et al. ∙

∙ 06/19/2020

Monash University, UEA, UCR Time Series Regression Archive

Time series research has gathered lots of interests in the last decade, ...

0 Chang Wei Tan, 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. ∙

∙ 10/29/2019

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Most methods for time series classification that attain state-of-the-art...

0 Angus Dempster, et al. ∙

∙ 10/10/2019

Time series classification for varying length series

Research into time series classification has tended to focus on the case...

0 Chang Wei Tan, 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. ∙

∙ 08/29/2018

Elastic bands across the path: A new framework and methods to lower bound DTW

There has been renewed recent interest in developing effective lower bou...

0 Chang Wei Tan, et al. ∙

∙ 01/29/2018

On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error

We propose two general and falsifiable hypotheses about expectations on ...

0 Nayyar A. Zaidi, et al. ∙

∙ 08/25/2017

Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes

This paper introduces a novel parameter estimation method for the probab...

0 Francois Petitjean, et al. ∙

∙ 11/12/2015

Characterizing Concept Drift

Most machine learning models are static, but the world is dynamic, and i...

0 Geoffrey I. Webb, et al. ∙

∙ 06/26/2015

Skopus: Exact discovery of the most interesting sequential patterns under Leverage

This paper presents a framework for exact discovery of the most interest...

0 Francois Petitjean, et al. ∙

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