Deep Learning Publication Navigator - subtopic: sequences


Year TitleAuthor
2017   Visual Forecasting by Imitating Dynamics in Natural Sequences  KH Zeng, WB Shen, DA Huang, M Sun, JC Niebles
2017   Ensemble of Expert Deep Neural Networks for Spatio-Temporal Denoising of Contrast-Enhanced MRI Sequences  A Benou, R Veksler, A Friedman, TR Raviv
2017   Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences  XS Wei, CL Zhang, H Zhang, J Wu 
2017   Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences  J Mahler, K Goldberg 
2017   Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks  R Yao, G Lin, Q Shi, D Ranasinghe
2017   Object Detection from Video Sequences Using Deep Learning: An Overview  D Garg, K Kotecha 
2017   A Deep Learning Network for Exploiting Positional Information in Nucleosome Related Sequences  MA Di Gangi, S Gaglio, C La Bua, GL Bosco, R Rizzo
2017   Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences  LK Tan, YM Liew, E Lim, RA McLaughlin
2017   Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network  L Wang, ZH You, X Chen, SX Xia, F Liu, X Yan, Y Zhou
2017   Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks.  C Park, Y Kim, G Kim
2017   Probabilistic forecasting of symbol sequences with deep neural networks  M Hauser, Y Fu, Y Li, S Phoha, A Ray
2017   Master thesis: Automatic identification of football players based on game video sequences for the production of metadata  T Michel
2016   Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences  C Pal
2016   A parameter-optimizing model-based approach to the analysis of low-SNR image sequences for biological virus detection  D Siedhoff
2016   De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks  A Benou, R Veksler, A Friedman, TR Raviv
2016   A Very Deep Sequences Learning Approach for Human Action Recognition  Z Lin, C Yuan
2016   Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences  D Neil, M Pfeiffer, SC Liu
2016   Identification of Genetic Sequences Recognized by Human SC35 Protein Using Artificial Neural Networks: A Deep Learning Approach  AJ Luke, S Fergione
2016   Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study  S Azizi, F Imani, S Ghavidel, A Tahmasebi, JT Kwak
2016   Automatic recognition of element classes and boundaries in the birdsong with variable sequences  T Koumura, K Okanoya
2016   Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series  ZC Lipton, DC Kale, R Wetzel
2016   3D-based Deep Convolutional Neural Network for Action Recognition with Depth Sequences  Z Liu, C Zhang, Y Tian
2016   Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks  J Lanchantin, R Singh, B Wang, Y Qi
2016   Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences  VM Sánchez
2016   Recognize the facial emotion in video sequences using eye and mouth temporal Gabor features  PI Rani, K Muneeswaran
2015   Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences  AB Rosenberg, RP Patwardhan, J Shendure, G Seelig
2015   Predicting People's 3D Poses from Short Sequences  B Tekin, X Sun, X Wang, V Lepetit, P Fua
2015   Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences  P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
2015   Action Recognition by using kernels on aclets sequences  L Brun, G Percannella, A Saggese, M Vento
2015   Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines  CEC Chacón
2015   Real Time Hand Tracking from Monocular Depth Sequences  A Tkach
2015   Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences  M Jung, J Hwang, J Tani
2015   Depth Context: A New Descriptor for Human Activity Recognition by Using Sole Depth Sequences  M Liu, H Liu
2015   ProtVec: A Continuous Distributed Representation of Biological Sequences  E Asgari, MRK Mofrad
2015   Online Prediction of Activities with Structure: Exploiting Contextual Associations and Sequences  NH Kirk, K Ramirez
2014   Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network  J Lyons, A Dehzangi, R Heffernan, A Sharma