Advanced Analytics and Learning on Temporal Data

Chapter 1 Adjustable Context-Aware Transformer

Chapter 2 Clustering of Time Series Based on Forecasting Performance of Global Models

Chapter 3 Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction

Chapter 4 Fast Time Series Classification with Random Symbolic Subsequences

Chapter 5 RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection

Chapter 6 Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark

Chapter 7 Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River

Chapter 8 Data Augmentation for Time Series Classification with Deep Learning Models

Chapter 9 Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0

Chapter 11 Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves

Chapter 12 ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications