Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: FEDD: Feature Extraction for Explicit Concept Drift Detection in time series
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Discussion and review on evolving data streams and concept drift adapting
A survey on concept drift adaptation
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
Incremental Learning of Concept Drift from Streaming Imbalanced Data
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Visualizing concept drift
grammar - guided feature extraction for time series classification .
Contextual Time Series Change Detection
Learning in the presence of concept drift and hidden contexts
Dynamic weighted majority: a new ensemble method for tracking concept drift
Adaptive Convolutional ELM For Concept Drift Handling in Online Stream Data
Learning from concept drifting data streams with unlabeled data
Extracting interpretable features for early classification on time series
Determining the Training Window for Small Sample Size Classification with Concept Drift
Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data
The Problem of Concept Drift: Definitions and Related Work
A Bag-of-Features Framework to Classify Time Series
Prototype-based learning on concept-drifting data streams
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
An Optical Character Recognition
Measuring information systems service quality: concerns for a complete canvas
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
an overview of statistical learning theory .
Optimizing dynamic time warping’s window width for time series data mining applications