Deep Learning Publication Navigator - subtopic: multivariate


Year TitleAuthor
2017   Deep Convolutional Factor Analyser for Multivariate Time Series Modeling  C Yuan, A Chakraborty
2017   A Cycle Deep Belief Network Model for Multivariate Time Series Classification  S Wang, G Hua, G Hao, C Xie
2017   Multivariate Autoregressive Spectrogram Modeling for Noisy Speech Recognition  S Ganapathy
2017   A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series  S Chambon, M Galtier, P Arnal, G Wainrib, A Gramfort
2017   Interrelationship between geochemical elements of sediment and groundwater at Samrak Park Delta of Nakdong River Basin in Korea: multivariate statistical analyses …  S Venkatramanan, SY Chung, S Selvam, JH Son
2017   STRAIGHT-Based Emotion Conversion Using Quadratic Multivariate Polynomial  JB Singh, P Lehana
2016   Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization  Z Wang, W Song, L Liu, F Zhang, J Xue, Y Ye, M Fan
2016   Recurrent Neural Networks for Multivariate Time Series with Missing Values  Z Che, S Purushotham, K Cho, D Sontag, Y Liu
2016   Hierarchical Deep Neural Network for Multivariate Regression  J Du, Y Xu
2016   Connectionist multivariate density-estimation and its application to speech synthesis  B Uria
2016   Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines  SG Pour, F Girosi
2015   Deep Learning for Multivariate Financial Time Series  G BATRES
2015   12 Identifying outcome-discriminative dynamics in multivariate physiological cohort time series  S Nemati, RP Adams
2015   Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines  P Vellanki, D Phung, T Duong, S Venkatesh
2015   Resilient Propagation for Multivariate Wind Power Prediction  J Stubbemann, NA Treiber, O Kramer
2015   Successes, Challenges and Future Outlook of Multivariate Analysis In HEP  H Voss
2015   Quantifying Postural Control during Exergaming Using Multivariate Whole-Body Movement Data: A Self-Organizing Maps Approach  M van Diest, J Stegenga, HJ Wörtche, JBTM Roerdink