Convolutional networks for images, speech, and time series

International audience

Scaling upbiologically-inspired…Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebookPicture: A probabilisticprogramming language fo…Picture: A probabilistic programming language for scene perceptionBreaking CryptographicImplementations Using…Breaking Cryptographic Implementations Using Deep Learning TechniquesOn the Performance ofConvolutional Neural…On the Performance of Convolutional Neural Networks for Side-Channel AnalysisDeepBreath: Deeplearning of breathing…DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settingsDeep learning forside-channel analysis…Deep learning for side-channel analysis and introduction to ASCAD databaseDeep ConvolutionalNeural Network for Floo…Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles DataA deep learningframework for time…A deep learning framework for time series classification using Relative Position Matrix and Convolutional Neural NetworkViraMiner: Deep Learningon Raw DNA Sequences fo…ViraMiner: Deep Learning on Raw DNA Sequences for Identifying Viral Genomes in Human SamplesA Deep-Learning Modelfor Subject-Independent…A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity SensorsPortfolio optimizationwith return prediction…Portfolio optimization with return prediction using deep learning and machine learningContrastive andGenerative Graph…Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised LearningConvolutional networksfor images, speech, and…Convolutional networks for images, speech, and time seriesFocus paperCiting papersOlderNewer

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