A comparison of LSTM and GRU networks for learning symbolic sequences

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A comparison of LSTM and GRU networks for learning symbolic sequences

5 July 2021

Roberto Cahuantzi

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Papers citing "A comparison of LSTM and GRU networks for learning symbolic sequences"

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Title
Generalization of Graph Neural Network Models for Distribution Grid Fault Detection Burak Karabulut Carlo Manna Chris Develder AI4CE 43 0 0 03 Oct 2025
Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States Mahmud Ashraf Shamim Eric A. F. Reinhardt Talal Ahmed Chowdhury S. Gleyzer Paulo T Araujo 120 0 0 01 Jul 2025
Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring Fang Wang Paolo Ceravolo Ernesto Damiani AI4TS 142 2 0 04 Jun 2025
Enhancing Tropical Cyclone Path Forecasting with an Improved Transformer Network Nguyen Van Thanh Nguyen Dang Huynh Nguyen Ngoc Tan Nguyen Thai Minh Nguyen Nam Hoang 109 0 0 01 May 2025
Are ECGs enough? Deep learning classification of pulmonary embolism using electrocardiograms Joao Marques Arlindo L. Oliveira 73 0 0 11 Mar 2025
Minion Gated Recurrent Unit for Continual Learning Abdullah M. Zyarah Dhireesha Kudithipudi 325 0 0 08 Mar 2025
GNN-based Decentralized Perception in Multirobot Systems for Predicting Worker Actions A. Imran Giovanni Beltrame David St-Onge AI4CE 110 1 0 08 Jan 2025
Mathematical Formalism for Memory Compression in Selective State Space Models Siddhanth Bhat 107 2 0 04 Oct 2024
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation MohammadReza EskandariNasab S. M. Hamdi S. F. Boubrahimi GAN AI4TS 77 3 0 21 Sep 2024
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data Zhengsen Xu Jonathan Li Sibo Cheng Xue Rui Yu Zhao ... Haiyan Guan Aryan Sharma Matthew Erxleben Ryan Chang Linlin Xu 210 0 0 02 May 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection Daniel Lakey Tim Schlippe 122 4 0 19 Mar 2024
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 171 14 0 20 Nov 2023
Mobile Traffic Prediction at the Edge through Distributed and Transfer Learning Alfredo Petrella M. Miozzo Paolo Dini 60 3 0 22 Oct 2023
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction Anushiya Arunan Yan Qin Xiaoli Li Chau Yuen FedML 101 38 0 13 May 2023
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas Weijia Yang S. Sparrow D. Wallom 53 1 0 21 Apr 2023
Using LSTM and GRU With a New Dataset for Named Entity Recognition in the Arabic Language Alaa Shaker Alaa Aldarf I. Bessmertny 42 7 0 06 Apr 2023
RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements James Brotchie Wenchao Li A. Greentree A. Kealy 84 10 0 03 Mar 2023
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 170 18 0 07 Sep 2022
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning P. Genssler Hamza Errahmouni Barkam Karthik Pandaram Mohsen Imani H. Amrouch 38 21 0 08 Jul 2022