most citedRobust Augmentation for Multivariate Time Series Classification

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20222 cited

A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID

Hong Yang, Travis Desell

This paper presents the largest publicly available, non-simulated, fleet-wide aircraft flight recording and maintenance log data for use in predicting part failure and maintenance…

cs.LG20221 cited

Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics

Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid +2

Self-adaptive systems frequently use tactics to perform adaptations. Tactic examples include the implementation of additional security measures when an intrusion is detected, or ac…

cs.LG20221 cited

ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting

Zimeng Lyu, Travis Desell

Time series forecasting (TSF) is one of the most important tasks in data science, as accurate time series (TS) predictions can drive and advance a wide variety of domains including…

cs.LG20226 cited

Robust Augmentation for Multivariate Time Series Classification

Hong Yang, Travis Desell

Neural networks are capable of learning powerful representations of data, but they are susceptible to overfitting due to the number of parameters. This is particularly challenging…

cs.NE2020

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation

AbdElRahman ElSaid, Joshua Karns, Alexander Ororbia +3

Transfer learning entails taking an artificial neural network (ANN) that is trained on a source dataset and adapting it to a new target dataset. While this has been shown to be qui…