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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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Chapter 20 What are the differences between long-term, short-term, and working memory?

Progress in Brain Research, 2008, Vol.169, p.323-338

Cowan, Nelson

2008

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A Deep Learning Based Hybrid Approach for Short-Term Forecasting of Spread of COVID-19

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges, p.261-278

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Deformable Convolutional LSTM for Human Body Emotion Recognition

Pattern Recognition. ICPR International Workshops and Challenges, p.741-747

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DAPs: Deep Action Proposals for Action Understanding

Computer Vision – ECCV 2016, p.768-784

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Exploring Visual Relationship for Image Captioning

Computer Vision – ECCV 2018, p.711-727

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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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On Early-Stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners

Social Informatics, p.141-158

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Modified ART Network Architectures for the Control of Autonomous Systems

Product-Focused Software Process Improvement, p.309-319

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Sequential Deep Learning for Human Action Recognition

Human Behavior Understanding, p.29-39

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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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Machine Learning Algorithm for Cryptocurrencies Price Prediction

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities, 2021, Vol.972, p.421-447

2021

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Attention-Based Neural Text Segmentation

Advances in Information Retrieval, p.180-193

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Long- and Short-Term Memories as Distinct States of the Brain Neuronal Network

Advances in Neural Computation, Machine Learning, and Cognitive Research II, p.263-273

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Executive functions

Handbook of Clinical Neurology, 2019, Vol.163, p.197-219

2019

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Person Re-identification via Recurrent Feature Aggregation

Computer Vision – ECCV 2016, p.701-716

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Multi-level Sequence GAN for Group Activity Recognition

Computer Vision – ACCV 2018, p.331-346

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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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A Novel Hybrid Optical Character Recognition Approach for Digitizing Text in Forms

Extending the Boundaries of Design Science Theory and Practice, p.206-220

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ResNet-50-CNN and LSTM Based Arrhythmia Detection Model Based on ECG Dataset

Enabling Person-Centric Healthcare Using Ambient Assistive Technology, 2023, Vol.1108, p.183-197

2023

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Predicting Students Final Academic Performance Using Deep Learning Techniques

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges, p.219-241

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Applying LSTM to Predict Firm Performance Based on Annual Reports: An Empirical Study from the Vietnam Stock Market

Data Science for Financial Econometrics, p.613-622

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Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning

Chapter 20 What are the differences between long-term, short-term, and working memory?

A Deep Learning Based Hybrid Approach for Short-Term Forecasting of Spread of COVID-19

Deformable Convolutional LSTM for Human Body Emotion Recognition

DAPs: Deep Action Proposals for Action Understanding

Exploring Visual Relationship for Image Captioning

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

On Early-Stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners

Modified ART Network Architectures for the Control of Autonomous Systems

Sequential Deep Learning for Human Action Recognition

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

Machine Learning Algorithm for Cryptocurrencies Price Prediction

Attention-Based Neural Text Segmentation

Long- and Short-Term Memories as Distinct States of the Brain Neuronal Network

Executive functions

Person Re-identification via Recurrent Feature Aggregation

Multi-level Sequence GAN for Group Activity Recognition

First Experiments with Neural Translation of Informal to Formal Mathematics

A Novel Hybrid Optical Character Recognition Approach for Digitizing Text in Forms

ResNet-50-CNN and LSTM Based Arrhythmia Detection Model Based on ECG Dataset

Predicting Students Final Academic Performance Using Deep Learning Techniques

Applying LSTM to Predict Firm Performance Based on Annual Reports: An Empirical Study from the Vietnam Stock Market

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