Papers Semi-supervised time series classification
“Semi-supervised time series classification” 태그가 달린 논문 6편 · 필터 해제
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Time series classification is an important data mining task that has received a lot of interest in the past two decades. Due to the label scarcity in practice, semi-supervised time series classification with only a few l…
ClassificationDynamic Time Warpinggraph constructionGraph Neural Network+4Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Learning time-series representations when only unlabeled data or few labeled samples are available can be a challenging task. Recently, contrastive self-supervised learning has shown great improvement in extracting usefu…
Contrastive LearningData AugmentationLinear evaluationRepresentation Learning+6SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Recent advances in wearable devices and Internet-of-Things (IoT) have led to massive growth in sensor data generated in edge devices. Labeling such massive data for classification tasks has proven to be challenging. In a…
Activity RecognitionFederated LearningPersonalized Federated LearningSemi-supervised time series classification+1Semi-supervised Time Series Classification by Temporal Relation Prediction
Semi-supervised learning (SSL) has proven to be a powerful algorithm in different domains by leveraging unlabeled data to mitigate the reliance on the tremendous annotated data. However, few efforts consider the underlyi…
ClassificationPredictionRelationRelation Prediction+4An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
Time series data play an important role in many applications and their analysis reveals crucial information for understanding the underlying processes. Among the many time series learning tasks of great importance, we he…
Binary ClassificationGeneral ClassificationSemi-supervised time series classificationTime Series+2Semi-supervised time series classification method for quantum computing
In this paper we develop methods to solve two problems related to time series (TS) analysis using quantum computing: reconstruction and classification. We formulate the task of reconstructing a given TS from a training s…
ClassificationGeneral ClassificationSemi-supervised time series classificationTime Series+2