Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA’s DART Time Series: A Machine Learning Approach for…
Learned Compression of Nonlinear Time Series With Random Accessby Andrea Guerra, Giorgio Vinciguerra, Antonio Boffa,…
Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Studyby Ainaz Jamshidi, Muhammad…
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion…
Using matrix-product states for time-series machine learningby Joshua B. Moore, Hugo P. Stackhouse, Ben D.…
PCA-Featured Transformer for Jamming Detection in 5G UAV Networksby Joseanne Viana, Hamed Farkhari, Pedro Sebastiao,…
Enhancing Masked Time-Series Modeling via Dropping Patchesby Tianyu Qiu, Yi Xie, Yun Xiong, Hao Niu,…
Granger Causality Detection with Kolmogorov-Arnold Networksby Hongyu Lin, Mohan Ren, Paolo Barucca, Tomaso AsteFirst submitted…
DroughtSet: Understanding Drought Through Spatial-Temporal Learningby Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru ZhangFirst submitted…
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustmentby Zhengchao Yang, Mithun…