TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detectionby Mengxuan Li,…
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare…
Recurrent Stochastic Configuration Networks with Incremental Blocksby Gang Dang, Dainhui WangFirst submitted to arxiv on:…
A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errorsby…
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecastingby Shubham Tanaji Kakde, Rony Mitra, Jasashwi Mandal,…
RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformerby…
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast…
Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoderby…
Multiscale Dubuc: A New Similarity Measure for Time Seriesby Mahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini…
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subsetby…