Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems

Mario Refoyo; David Luengo

doi:10.1007/978-3-031-63800-8_1

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Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems

Mario Refoyo David Luengo

Year: 2024 Communications in computer and information science Pages: 3-17 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-63800-8_1

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Keywords:

Subsequence Counterfactual thinking Series (stratigraphy) Computer science Space (punctuation) Pattern recognition (psychology) Artificial intelligence Mathematics Algorithm Biology Philosophy Epistemology Mathematical analysis

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems

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