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User Identification

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Showing 51–76 of 76 papers

TitleStatusHype
Privacy-preserving Voice Analysis via Disentangled Representations—0
End-to-end User Recognition using Touchscreen Biometrics—0
Digit Recognition Using Convolution Neural Network—0
Multi-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures—0
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series—0
Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA—0
Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image—0
Deep User Identification Model with Multiple Biometrics—0
Combining traffic counts and Bluetooth data for link-origin-destination matrix estimation in large urban networks: The Brisbane case study—0
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity—0
Skin-Based Identification From Multispectral Image Data Using CNNs—0
Privacy Preserving Location Data Publishing: A Machine Learning Approach—0
Deep CSI Learning for Gait Biometric Sensing and RecognitionCode0
Continuous User Authentication by Contactless Wireless Sensing—0
Deep Learning Towards Mobile Applications—0
FMCode: A 3D In-the-Air Finger Motion Based User Login Framework for Gesture InterfaceCode0
Sparsity Learning Based Multiuser Detection in Grant-Free Massive-Device Multiple Access—0
FMHash: Deep Hashing of In-Air-Handwriting for User IdentificationCode0
Session-aware Information Embedding for E-commerce Product Recommendation—0
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identificationCode0
Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results—0
Camera Fingerprint: A New Perspective for Identifying User's Identity—0
Temperature-Based Deep Boltzmann Machines—0
A Cross-Platform Collection of Social Network Profiles—0
Where You Are Is Who You Are: User Identification by Matching Statistics—0
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering—0
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