Bidirectional LSTM

Bidirectional Long Short-Term Memory (Bi-LSTM) networks are a type of recurrent neural network designed to process sequential data by considering both past and future context simultaneously, improving upon the limitations of unidirectional LSTMs. Current research focuses on applying Bi-LSTMs to diverse fields, including medical diagnosis (ECG analysis, depression detection), financial prediction (stock prices, cryptocurrency), and other applications like fake news detection and drug safety assessment. The ability of Bi-LSTMs to effectively handle complex temporal dependencies makes them a powerful tool for various prediction and classification tasks, leading to improved accuracy and efficiency in diverse scientific and practical applications.

Papers

July 15, 2024

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs
Antoine Barrier, Thomas Coudert, Aurélien Delphin, Benjamin Lemasson, Thomas Christen
Bidirectional LSTM MRI Sequence Magnetic Resonance Fingerprinting Microvascular Network

July 8, 2024

Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data
K. Venkateswara Rao, Dr. Kunjam Nageswara Rao, Dr. G. Sita Ratnam
Sequence to Sequence Drug Discovery Biological Sequence Bidirectional LSTM Molecular Input Line Entry System Drug Safety Solubility Prediction

July 2, 2024

Indian Stock Market Prediction using Augmented Financial Intelligence ML
Anishka Chauhan, Pratham Mayur, Yeshwanth Sai Gokarakonda, Pooriya Jamie, Naman Mehrotra
Machine Learning Model LSTM Network Stock Price Prediction Price Prediction Stock Market Prediction Financial Reinforcement Learning Bidirectional LSTM

May 24, 2024

Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM
Reza Nikandish, Jiayu He, Benyamin Haghi
Feature Fusion Bi LSTM Electrocardiogram Classification MIT BIH Arrhythmia Bidirectional LSTM ECG Monitoring System

January 19, 2024

A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability
Zixi Chen, Matteo Bernabei, Vanessa Mainardi, Xuyang Ren, Gastone Ciuti, Cesare Stefanini
Soft Robot Long Form Novel Modular Robot Bidirectional LSTM Bi Directional LSTM BiLSTM CNN CRF

September 21, 2023

Video Scene Location Recognition with Neural Networks
Lukáš Korel, Petr Pulc, Jiří Tumpach, Martin Holeňa
Neural Network LSTM Network Pre Trained Convolutional Neural Network Video Sequence Scene Recognition Bidirectional LSTM Scene Detection

April 3, 2023

Detecting Fake Job Postings Using Bidirectional LSTM
Aravind Sasidharan Pillai
Bi LSTM Bidirectional LSTM

March 14, 2023

Kinematic Data-Based Action Segmentation for Surgical Applications
Adam Goldbraikh, Omer Shubi, Or Rubin, Carla M Pugh, Shlomi Laufer
Action Segmentation Robotic Surgery Bidirectional LSTM Surgical Domain Kinematic Data

February 23, 2023

MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
Ciprian-Octavian Truică, Elena-Simona Apostol, Radu-Cătălin Nicolescu, Panagiotis Karras
Social Medium Fake News Deep Learning Architecture Real World Datasets Bidirectional LSTM Spanning Tree

January 11, 2023

Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM
Kuncahyo Setyo Nugroho, Ismail Akbar, Affi Nizar Suksmawati, Istiadi
LSTM Network Standard LSTM Bidirectional LSTM Bi Directional LSTM

December 7, 2022

Bi-LSTM Price Prediction based on Attention Mechanism
Jiashu Lou, Leyi Cui, Ye Li
Attention Mechanism Two Layer Neural Network Bi LSTM Bidirectional LSTM Automated Cryptocurrency Trading

June 24, 2022

A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
Text Classification LSTM Network Small Datasets Multiclass Classification Short Text Bidirectional LSTM

March 27, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network
Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang
Solar Flare Solar Dynamic Observatory Space Weather Bidirectional LSTM Solar Energetic Particle Coronal Mass Ejection

February 25, 2022

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN
Kaining Mao, Wei Zhang, Deborah Baofeng Wang, Ang Li, Rongqi Jiao, Yanhui Zhu, Bin Wu, Tiansheng Zheng, Lei Qian, Wei Lyu, Minjie Ye, Jie Chen
Human Prediction Prosodic Feature Depression Detection Semantic Feature Multimodal Attention Bidirectional LSTM Depression Severity

January 11, 2022

Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, Yudhanjaya Wijeratne
Deep Learning Model Sentiment Analysis Comparative Study User Sentiment Last Decade Bidirectional LSTM Sinhala Language Facebook Data Sinhala Text Classification

January 10, 2022

Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Deep Learning Graph Attention Attention Network Graph Network Planning Loss Attention Graph Capturing Maneuver Bidirectional LSTM

Bidirectional LSTM

Papers

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data

Indian Stock Market Prediction using Augmented Financial Intelligence ML

Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM

A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability

Video Scene Location Recognition with Neural Networks

Detecting Fake Job Postings Using Bidirectional LSTM

Kinematic Data-Based Action Segmentation for Surgical Applications

MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media

Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM

Bi-LSTM Price Prediction based on Attention Mechanism

A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data

Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses