1.6k citations · 4.7k across the 46 of their papers we have counts for
7 papers · 1 filter
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier, Geoffrey I. Webb, Francois Petitjean
New remote sensing sensors now acquire high spatial and spectral Satellite Image Time Series (SITS) of the world. These series of images are a key component of classification syste…
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier +5
Research into the classification of time series has made enormous progress in the last decade. The UCR time series archive has played a significant role in challenging and guiding…
Elastic bands across the path: A new framework and methods to lower bound DTW
Chang Wei Tan, Francois Petitjean, Geoffrey I. Webb
There has been renewed recent interest in developing effective lower bounds for Dynamic Time Warping (DTW) distance between time series. These have many applications in time series…
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
Existing FNNs are mostly developed under a shallow network configuration having lower generalization power than those of deep structures. This paper proposes a novel self-organizin…
Instance-Dependent PU Learning by Bayesian Optimal Relabeling
Fengxiang He, Tongliang Liu, Geoffrey I Webb +1
When learning from positive and unlabelled data, it is a strong assumption that the positive observations are randomly sampled from the distribution of conditional on ,…
Extremely Fast Decision Tree
Chaitanya Manapragada, Geoff Webb, Mahsa Salehi
We introduce a novel incremental decision tree learning algorithm, Hoeffding Anytime Tree, that is statistically more efficient than the current state-of-the-art, Hoeffding Tree. W…
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error
Nayyar A. Zaidi, Geoffrey I. Webb, Francois Petitjean +1
We propose two general and falsifiable hypotheses about expectations on generalization error when learning in the context of concept drift. One posits that as drift rate increases,…