Advanced Analytics and Learning on Temporal Data

Oral Presentation.- Adjustable Context-aware Transformer.-&nbsp;Clustering of time series based on forecasting performance of global models.-&nbsp;Experimental study of time series forecasting methods for groundwater level prediction.-&nbsp;Fast Time Series Classification with Random Symbolic Subsequences.-&nbsp;RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection.-&nbsp;Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark.-&nbsp;Poster Presentation.- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River.-&nbsp;Data Augmentation for Time Series Classification with Deep Learning.-&nbsp;Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0.-&nbsp;EDGAR: Embedded Detection of Gunshots by AI in Real-time.-&nbsp;Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves.-&nbsp;ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications.<br> <br>