39 citations · 39 across the 1 of their papers we have counts for
2 papers
stat.ML2018
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
Bernardo Pérez Orozco, Gabriele Abbati, Stephen Roberts
Time series forecasting is ubiquitous in the modern world. Applications range from health care to astronomy, and include climate modelling, financial trading and monitoring of crit…
stat.ML2017★ 39 cited
Mosquito Detection with Neural Networks: The Buzz of Deep Learning
Ivan Kiskin, Bernardo Pérez Orozco, Theo Windebank +4
Many real-world time-series analysis problems are characterised by scarce data. Solutions typically rely on hand-crafted features extracted from the time or frequency domain allied…