Paper-Conference

FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction

Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning

Denoising Optimization-Based Counterfactual Explanations for Time Series Classification

Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation

ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation

Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress

Multiloss-Based Optimization for Time Series Data Augmentation