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12/08/2021
Estimating Divergences in High Dimensions
The problem of estimating the divergence between 2 high dimensional dist...
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02/20/2021
Elastic Similarity Measures for Multivariate Time Series Classification
Elastic similarity measures are a class of similarity measures specifica...
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02/14/2021
Tight lower bounds for Dynamic Time Warping
Dynamic Time Warping (DTW) is a popular similarity measure for aligning ...
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11/12/2020
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning
Supervised learning, characterized by both discriminative and generative...
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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...
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06/23/2020
Time Series Regression
This paper introduces Time Series Regression (TSR): a little-studied tas...
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06/19/2020
Monash University, UEA, UCR Time Series Regression Archive
Time series research has gathered lots of interests in the last decade, ...
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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...
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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...
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10/10/2019
Time series classification for varying length series
Research into time series classification has tended to focus on the case...
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09/11/2019
InceptionTime: Finding AlexNet for Time Series Classification
Time series classification (TSC) is the area of machine learning interes...
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09/11/2019
DreamTime: Finding AlexNet for Time Series Classification
Time series classification (TSC) is the area of machine learning interes...
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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...
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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...
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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...
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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...
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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 ...
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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...
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11/12/2015
Characterizing Concept Drift
Most machine learning models are static, but the world is dynamic, and i...
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06/26/2015