1.1k citations · 1.2k across the 3 of their papers we have counts for
3 papers
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
Samuel Harford, Fazle Karim, Houshang Darabi
Deep learning models utilizing convolution layers have achieved state-of-the-art performance on univariate time series classification tasks. In this work, we propose improving CNN…
Adversarial Attacks on Multivariate Time Series
Samuel Harford, Fazle Karim, Houshang Darabi
Classification models for the multivariate time series have gained significant importance in the research community, but not much research has been done on generating adversarial s…
Multivariate LSTM-FCNs for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
Over the past decade, multivariate time series classification has received great attention. We propose transforming the existing univariate time series classification models, the L…