GitHub

Re-framing Time Series Augmentation Through the Lens of Generative Models

Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...
IEEE

A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data

Abstract: Many practical time series forecasting (TSF) tasks are plagued by data limitations. To alleviate this challenge, we design a data-level augmentation framework. It involves a time series ...
IEEE

Domain Adaptation and Data Augmentation to Improve the Diversity and Realism of Geophysical Datasets for Deep Learning

Abstract: Recent advancements in deep learning have highlighted its significant potential in geophysics. However, a major challenge in practical applications is the limited availability of ...
GitHub

Data Knot - Machine Learning tools for low latency real-time performance

Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...