Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2764939
Abstract: The problem of early classification of time series appears naturally in contexts where the data, of temporal nature, are collected over time, and early class predictions are interesting or even required. The objective is to… read more here.
Keywords: classification time; early classification; classification; accuracy earliness ... See more keywords
Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning
Sign Up to like & getrecommendations! Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2034
Abstract: Student dropout prediction (SDP) in educational research has gained prominence for its role in analyzing student learning behaviors through time series models. Traditional methods often focus singularly on either prediction accuracy or earliness, leading to… read more here.
Keywords: student dropout; trade; accuracy earliness; dropout prediction ... See more keywords