Confidence-based early classification of multivariate time series with multiple interpretable rules
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Confidence-based early classification of multivariate time series with multiple interpretable rules
Authors
Keywords
Multivariate time series, Early classification, Confidence estimation, Rule discovery
Journal
PATTERN ANALYSIS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-11
DOI
10.1007/s10044-019-00782-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An ensemble of shapelet-based classifiers on inter-class and intra-class imbalanced multivariate time series at the early stage
- (2018) Guoliang He et al. SOFT COMPUTING
- Multiobjective Learning in the Model Space for Time Series Classification
- (2018) Zhichen Gong et al. IEEE Transactions on Cybernetics
- Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm
- (2018) Min Han et al. IEEE Transactions on Cybernetics
- An uncertainty and density based active semi-supervised learning scheme for positive unlabeled multivariate time series classification
- (2017) Guoliang He et al. KNOWLEDGE-BASED SYSTEMS
- Efficient health-related abnormal behavior detection with visual and inertial sensor integration
- (2017) Ying Li et al. PATTERN ANALYSIS AND APPLICATIONS
- Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness
- (2017) Usue Mori et al. IEEE Transactions on Neural Networks and Learning Systems
- Empirical Sensitivity Analysis of Discretization Parameters for Fault Pattern Extraction From Multivariate Time Series Data
- (2017) Sujeong Baek et al. IEEE Transactions on Cybernetics
- Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis
- (2017) Min Han et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Efficient Classification of Long Time Series by 3-D Dynamic Time Warping
- (2017) Anooshiravan Sharabiani et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Reliable early classification of time series based on discriminating the classes over time
- (2016) Usue Mori et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Probabilistic skyline queries on uncertain time series
- (2016) Guoliang He et al. NEUROCOMPUTING
- Detecting anomalous patterns in time-series data using sparse hierarchically parameterized transition matrices
- (2016) Michael W. Milo et al. PATTERN ANALYSIS AND APPLICATIONS
- An efficient pattern mining approach for event detection in multivariate temporal data
- (2015) Iyad Batal et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Early classification on multivariate time series
- (2015) Guoliang He et al. NEUROCOMPUTING
- Clustering by fast search and find of density peaks
- (2014) A. Rodriguez et al. SCIENCE
- Early classification on time series
- (2011) Zhengzheng Xing et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
- (2010) Lexiang Ye et al. DATA MINING AND KNOWLEDGE DISCOVERY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now