ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.11627
  4. Cited By
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network
  for Forecasting Network-wide Traffic State with Missing Values

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

24 May 2020
Zhiyong Cui
Ruimin Ke
Ziyuan Pu
Yinhai Wang
    AI4TS
ArXivPDFHTML

Papers citing "Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values"

30 / 30 papers shown
Title
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
Xiao Zheng
Saeed Asadi Bagloee
Majid Sarvi
AI4TS
43
0
0
30 Apr 2025
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale
  Traffic Forecasting
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
Tongtong Zhang
Zhiyong Cui
Bingzhang Wang
Yilong Ren
Haiyang Yu
Pan Deng
Yinhai Wang
AI4TS
70
0
0
18 Dec 2024
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional
  Data Processing
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
Hao Liu
Mamba
AI4CE
79
1
0
22 Nov 2024
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical
  Image Segmentation
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
Shahzaib Iqbal
Tariq M. Khan
Syed S. Naqvi
Asim Naveed
Erik H. W. Meijering
MedIm
53
6
0
05 Sep 2024
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility:
  Opportunities and Challenges for Integrating Large Language Models (LLMs) and
  Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Haowen Xu
Jinghui Yuan
Anye Zhou
Guanhao Xu
Wan Li
Xuegang Ban
Xinyue Ye
29
8
0
31 Aug 2024
Machine-learning-based particle identification with missing data
Machine-learning-based particle identification with missing data
Milosz Kasak
Kamil Deja
Maja Karwowska
M. Jakubowska
L. Graczykowski
Malgorzata Janik
11
3
0
21 Dec 2023
RACER: Rational Artificial Intelligence Car-following-model Enhanced by
  Reality
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
Tianyi Li
Alexander Halatsis
Raphael E. Stern
16
2
0
12 Dec 2023
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying
  Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning
  Approach
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
Md Mobasshir Rashid
Rezaur Rahman
Samiul Hasan
11
1
0
16 Nov 2023
Networkwide Traffic State Forecasting Using Exogenous Information: A
  Multi-Dimensional Graph Attention-Based Approach
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
Syed Islam
Monika Filipovska
AI4TS
26
0
0
18 Oct 2023
Establishing a real-time traffic alarm in the city of Valencia with Deep
  Learning
Establishing a real-time traffic alarm in the city of Valencia with Deep Learning
Miguel G. Folgado
V. Sanz
J. Hirn
Edgar Lorenzo-Saez
Javier Urchueguia
HAI
21
0
0
05 Sep 2023
Newell's theory based feature transformations for spatio-temporal
  traffic prediction
Newell's theory based feature transformations for spatio-temporal traffic prediction
Agnimitra Sengupta
S. I. Guler
OOD
AI4TS
26
0
0
12 Jul 2023
A Bayesian approach to quantifying uncertainties and improving
  generalizability in traffic prediction models
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
Agnimitra Sengupta
Sudeepta Mondal
A. Das
S. I. Guler
BDL
UQCV
32
11
0
12 Jul 2023
Hybrid hidden Markov LSTM for short-term traffic flow prediction
Hybrid hidden Markov LSTM for short-term traffic flow prediction
Agnimitra Sengupta
A. Das
S. I. Guler
BDL
AI4TS
19
2
0
11 Jul 2023
Reinforcement Learning Approaches for Traffic Signal Control under
  Missing Data
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei
Junxian Li
Bin Shi
Hua Wei
32
9
0
21 Apr 2023
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Jingwei Zuo
K. Zeitouni
Y. Taher
Sandra García-Rodríguez
GNN
AI4TS
31
39
0
13 Dec 2022
Understanding transit ridership in an equity context through a
  comparison of statistical and machine learning algorithms
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
Elnaz Yousefzadeh Barri
S. Farber
H. Jahanshahi
Eda Beyazıt
24
14
0
30 Nov 2022
FedStack: Personalized activity monitoring using stacked federated
  learning
FedStack: Personalized activity monitoring using stacked federated learning
T. Shaik
Xiaohui Tao
Niall Higgins
R. Gururajan
Yuefeng Li
Xujuan Zhou
Usha R. Acharya
FedML
32
61
0
27 Sep 2022
Traffic-Twitter Transformer: A Nature Language Processing-joined
  Framework For Network-wide Traffic Forecasting
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting
Meng-Ju Tsai
Zhiyong Cui
H. Yang
Cole Kopca
Sophie Tien
Yinhai Wang
AI4TS
17
4
0
19 Jun 2022
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNN
AI4TS
26
27
0
18 May 2022
Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN
Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN
M. S. Myhrmann
S. E. Mabit
14
4
0
20 Apr 2022
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction
  during Hurricane Evacuation
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation
Rezaur Rahman
Samiul Hasan
AI4TS
17
19
0
25 Feb 2022
Personality Type Based on Myers-Briggs Type Indicator with Text Posting
  Style by using Traditional and Deep Learning
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning
Sakdipat Ontoum
Jonathan H. Chan
17
19
0
21 Jan 2022
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike
  Sharing Systems
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
Bárbara Tavares
Cláudia Soares
Manuel Marques
13
2
0
03 Jan 2022
Spatial Aggregation and Temporal Convolution Networks for Real-time
  Kriging
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
Yuankai Wu
Dingyi Zhuang
Mengying Lei
A. Labbe
Lijun Sun
AI4TS
40
25
0
24 Sep 2021
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis
  in Persian Reviews
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
Milad Vazan
J. Razmara
33
12
0
16 Sep 2021
Long Short-term Cognitive Networks
Long Short-term Cognitive Networks
Gonzalo Nápoles
Isel Grau
A. Jastrzębska
Yamisleydi Salgueiro
AI4TS
11
8
0
30 Jun 2021
Digital twins based on bidirectional LSTM and GAN for modelling the
  COVID-19 pandemic
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
César Quilodrán-Casas
Vinicius L. S. Silva
Rossella Arcucci
Claire E. Heaney
Yike Guo
Christopher C. Pain
34
40
0
03 Feb 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
32
67
0
02 Dec 2020
Road Surface Friction Prediction Using Long Short-Term Memory Neural
  Network Based on Historical Data
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data
Ziyuan Pu
Shuo Wang
Chenglong Liu
Zhiyong Cui
Yinhai Wang
14
44
0
01 Nov 2019
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
213
1,897
0
06 Jun 2016
1