Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification

13 January 2018

Papers citing "Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification"

10 / 10 papers shown

Title
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 229 2,377 0 15 Oct 2017
LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Shun Chen AIMat AI4TS 67 1,109 0 08 Sep 2017
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series Stanislas Chambon M. Galtier P. Arnal G. Wainrib Alexandre Gramfort MLAU AI4TS 82 489 0 05 Jul 2017
Deep Learning for Time-Series Analysis J. Gamboa AI4TS 72 443 0 07 Jan 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 99 1,660 0 20 Nov 2016
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification Wenlin Wang Changyou Chen Wenqi Wang Piyush Rai Lawrence Carin AI4TS 58 32 0 14 Nov 2016
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning G. Lemaître Fernando Nogueira Christos K. Aridas 84 2,071 0 21 Sep 2016
Learning Robust Features using Deep Learning for Automatic Seizure Detection Pierre Thodoroff Joelle Pineau Andrew Lim OOD 67 293 0 31 Jul 2016
Multi-Scale Convolutional Neural Networks for Time Series Classification Zhicheng Cui Wenlin Chen Yixin Chen 64 565 0 22 Mar 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 86 887 0 14 Aug 2015