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Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning

Agents and Artificial Intelligence, p.223-243

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DAPs: Deep Action Proposals for Action Understanding

Computer Vision – ECCV 2016, p.768-784

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Advances in Knowledge Discovery and Data Mining, p.30-41

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Video Summarization with Long Short-Term Memory

Computer Vision – ECCV 2016, p.766-782

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Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Computer Vision – ECCV 2016, p.816-833

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Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

Advances in Information Retrieval, p.529-536

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A Siamese Long Short-Term Memory Architecture for Human Re-identification

Computer Vision – ECCV 2016, p.135-153

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Attention-Based Neural Text Segmentation

Advances in Information Retrieval, p.180-193

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Person Re-identification via Recurrent Feature Aggregation

Computer Vision – ECCV 2016, p.701-716

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First Experiments with Neural Translation of Informal to Formal Mathematics

Intelligent Computer Mathematics, 2018, Vol.11006, p.255-270

2018

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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Computer Vision – ECCV 2016, p.541-557

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Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation

Neural Information Processing, p.345-353

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Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network

Intelligent Computing Theories and Application, 2018, Vol.10955, p.11-16

2018

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Multi-Granularity Neural Sentence Model for Measuring Short Text Similarity

Database Systems for Advanced Applications, p.439-455

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Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis

Database Systems for Advanced Applications, p.393-407

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Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks

Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018, Vol.11314, p.481-490

2018

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MCASleepNet: Multimodal Channel Attention-Based Deep Neural Network for Automatic Sleep Staging

Artificial Neural Networks and Machine Learning - ICANN 2023, 2023, Vol.14263, p.308-319

2023

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Stock Market Price Prediction Using LSTM RNN

Emerging Trends in Expert Applications and Security, 2018, Vol.841, p.493-503

2018

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Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning

Big Data Analytics, p.249-259

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Using a Serious Game to Assess Spatial Memory in Children and Adults

Advances in Computer Entertainment Technology, 2018, Vol.10714, p.809-829

2018

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A Deep Neural Network for G-Quadruplexes Binding Proteins Classification

Advances in Computational Intelligence, p.517-528

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Automated Data Mapping Based on FastText and LSTM for Business Systems

Cognitive Computing – ICCC 2022, p.75-82

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CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents

Image Analysis and Processing - ICIAP 2023 Workshops, p.106-118

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Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow

Databases Theory and Applications, p.183-196

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Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series

Artificial Neural Networks and Machine Learning - ICANN 2022, 2022, Vol.13531, p.740-751

2022

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Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning

DAPs: Deep Action Proposals for Action Understanding

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Video Summarization with Long Short-Term Memory

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

A Siamese Long Short-Term Memory Architecture for Human Re-identification

Attention-Based Neural Text Segmentation

Person Re-identification via Recurrent Feature Aggregation

First Experiments with Neural Translation of Informal to Formal Mathematics

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation

Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network

Multi-Granularity Neural Sentence Model for Measuring Short Text Similarity

Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis

Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks

MCASleepNet: Multimodal Channel Attention-Based Deep Neural Network for Automatic Sleep Staging

Stock Market Price Prediction Using LSTM RNN

Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning

Using a Serious Game to Assess Spatial Memory in Children and Adults

A Deep Neural Network for G-Quadruplexes Binding Proteins Classification

Automated Data Mapping Based on FastText and LSTM for Business Systems

CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents

Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow

Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series

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