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Recurrent Networks sentence examples within convolutional neural network

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors

Natural Language Description of Videos for Smart Surveillance

Recurrent Networks sentence examples within long short term

Echo-state networks for soft sensor design in an SRU process

Differential radial basis function network for sequence modelling

Recurrent Networks sentence examples within Deep Recurrent Networks

MeronymNet: A Hierarchical Model for Unified and Controllable Multi-Category Object Generation

Targeted Adversarial Examples for Black Box Audio Systems

Recurrent Networks sentence examples within Convolutional Recurrent Networks

Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences

Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks

Recurrent Networks sentence examples within Trained Recurrent Networks

Continual Learning with Echo State Networks

A Geometrical Analysis of Global Stability in Trained Feedback Networks

Recurrent Networks sentence examples within Inspired Recurrent Networks

A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing

A robust model of Stimulus-Specific Adaptation validated on neuromorphic hardware

Recurrent Networks sentence examples within Bidirectional Recurrent Networks

Natural Language Description of Videos for Smart Surveillance

Protein secondary structure prediction based on fusion of machine learning classifiers

Recurrent Networks sentence examples within Attention Recurrent Networks

View transform graph attention recurrent networks for skeleton-based action recognition

Trajectory-User Link with Attention Recurrent Networks

Recurrent Networks sentence examples within Gated Recurrent Networks

From back to the roots into the gated woods: Deep learning for NLP

CNN-GRU Network-based Force Prediction Approach for Variable Working Condition Milling Clamping Points of Deformable Parts

Recurrent Networks sentence examples within recurrent networks trained

Distributed functions of prefrontal and parietal cortices during sequential categorical decisions

Do Neural Networks for Segmentation Understand Insideness?

A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks

Simple But Effective GRU Variants

Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters

Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping

From synapse to network: models of information storage and retrieval in neural circuits

Cortical representation variability aligns with in-class variances and can help one-shot learning

Periodic Solutions in Threshold-Linear Networks and Their Entrainment

Predict Stock Market Prices with Recurrent Neural Networks using NASDAQ Data Stream

Nonlinear transient amplification in recurrent neural networks with short-term plasticity

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Organization and priming of long-term memory representations with two-phase plasticity

Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing

Graph Neural Network and its applications

Towards a More General Understanding of the Algorithmic Utility of Recurrent Connections

Visual exposure enhances stimulus encoding and persistence in primary cortex

Identifying Inter-Project Relationships with Recurrent Neural Networks: Towards an AI Framework of Project Success Prediction

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

Emulating complex networks with a single delay differential equation

Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors

Real Time Predictions of VGF-GaAs Growth Dynamics by LSTM Neural Networks

Applied Algorithmic Machine Learning for Intelligent Project Prediction: Towards an AI Framework of Project Success

The Prediction Process Based on Deep Recurrent Neural Networks: A Review

A Neural Networks Based Method for Multivariate Time-Series Forecasting

PlasticNet: A Memory Template Extractor with Plastic Neural Networks for Object Tracking

Efficient and robust coding in heterogeneous recurrent networks

Image Segmentation Using Deep Learning: A Survey

Balanced networks under spike-time dependent plasticity

Translating Numerical Concepts for PDEs into Neural Architectures

Multi visual and textual embedding on visual question answering for blind people

Short-Term Load Forecasting Using Encoder-Decoder WaveNet: Application to the French Grid

Transformer-Based Acoustic Modeling for Streaming Speech Synthesis

Dilated causal convolution with multi-head self attention for sensor human activity recognition

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach

Artificial Intelligence and Machine Learning in Medicinal Chemistry and Validation of Emerging Drug Targets

High-frequency oscillations and replay in a two-population model of hippocampal region CA1

Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus

Assistance Method for the Application-Driven Design of Machine Learning Algorithms

Music emotion recognition using recurrent neural networks and pretrained models

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes

Self-Attention Networks Can Process Bounded Hierarchical Languages

Boundary-Adaptive Encoder With Attention Method for Chinese Sign Language Recognition

Deep Learning is blowing in the wind. Deep models applied to wind prediction at turbine level

Remote detection of idling cars using infrared imaging and deep networks

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Dynamic Neural Networks: Structures and Training Methods

Artificial Neural Networks

Modeling Recurrence for Transformer

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Neuromorphic computing with resistive switching memory devices

FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera

DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition

Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems

Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes

Recurrent networks can recycle neural resources to flexibly trade speed for accuracy in visual recognition

Convolutional Gated Recurrent Unit–Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries

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Recurrent Networks 循环网络

Recurrent Networks 循环网络
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