Deep Generators on Commodity Markets; application to Deep Hedging

no code implementations • 27 May 2022 • Nicolas Boursin, Carl Remlinger, Joseph Mikael, Carol Anne Hargreaves

Driven by the good results obtained in computer vision, deep generative methods for time series have been the subject of particular attention in recent years, particularly from the financial industry.

Generative Adversarial Network Time Series +1

Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage

no code implementations • 17 Oct 2021 • Yan Ming Tan, Raphael Quek Hao Chong, Carol Anne Hargreaves

Rheumatoid arthritis is an autoimmune disease that causes joint damage due to inflammation in the soft tissue lining the joints known as the synovium.

Topological Machine Learning for Mixed Numeric and Categorical Data

1 code implementation • 10 Mar 2020 • Chengyuan Wu, Carol Anne Hargreaves

Topological data analysis is a relatively new branch of machine learning that excels in studying high dimensional data, and is theoretically known to be robust against noise.

BIG-bench Machine Learning General Classification +1

Topological Machine Learning for Multivariate Time Series

1 code implementation • 27 Nov 2019 • Chengyuan Wu, Carol Anne Hargreaves

We develop a framework for analyzing multivariate time series using topological data analysis (TDA) methods.

Activity Recognition BIG-bench Machine Learning +4