Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions

2 September 2019

Papers citing "Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions"

50 / 72 papers shown

Title
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan Ö. Arik Jinsung Yoon AI4TS 40 0 0 07 May 2025
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality Grzegorz Dudek AI4TS 49 1 0 11 Apr 2025
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation Arvin Hosseinzadeh Ladan Khoshnevisan Mohammad Pirani Shojaeddin Chenouri Amir Khajepour CLL AI4TS 49 1 0 03 Mar 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators João Pedro Matos-Carvalho Stefano Frizzo Stefenon Valderi Reis Quietinho Leithardt Kin-Choong Yow AI4TS 43 0 0 24 Feb 2025
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration Xin Zhang Liangxiu Han Stephen White Saad Hassan Philip A Kalra James Ritchie Carl Diver Jennie Shorley 82 1 0 24 Feb 2025
Sequence models for continuous cell cycle stage prediction from brightfield images Louis-Alexandre Leger Maxine Leonardi Andrea Salati Felix Naef Martin Weigert 68 1 0 04 Feb 2025
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Edward Turner GNN 38 1 0 14 Jan 2025
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations M. Germán-Morales A. J. Rivera-Rivas M. J. del Jesus Díaz C. J. Carmona AI4TS AI4CE 56 0 0 15 Oct 2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting Ignacio Aguilera-Martos Andrés Herrera-Poyatos Julián Luengo Francisco Herrera AI4TS 35 0 0 04 Oct 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 32 12 0 19 Aug 2024
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting Luoxiao Yang Yun Wang Xinqi Fan Israel Cohen Jingdong Chen Yue Zhao Zijun Zhang AI4TS 46 5 0 10 Jul 2024
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification Weilian Zhou Sei-ichiro Kamata Haipeng Wang Man-Sing Wong Huiying H. Hou Mamba 29 30 0 20 May 2024
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning Annie Hu Samuel Stockman Xun Wu Richard Wood Bangdong Zhi Oliver Y. Chén OOD 13 0 0 29 Apr 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 49 1 0 24 Apr 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 27 0 0 16 Feb 2024
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction Jarrod Mau Kevin Moon PINN AI4TS 28 0 0 09 Feb 2024
Hypercomplex neural network in time series forecasting of stock data R. Kycia Agnieszka Niemczynowicz AI4TS AIFin 44 3 0 09 Jan 2024
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression Aidan Quinn M. Simmons B. Spivak Christoph Bergmeir 27 0 0 02 Dec 2023
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 16 2 0 26 Oct 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting YeXin Huang AI4TS 32 0 0 22 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 42 118 0 16 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 42 4 0 12 Oct 2023
Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 41 2 0 05 Oct 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 32 0 0 24 May 2023
It's All in the Embedding! Fake News Detection Using Document Embeddings Ciprian-Octavian Truică Elena Simona Apostol 37 48 0 16 Apr 2023
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters Rohan Mohapatra Austin Coursey Saptarshi Sengupta 19 6 0 15 Mar 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information Benedikt Heidrich Kaleb Phipps Oliver Neumann Marian Turowski Ralf Mikut V. Hagenmeyer AI4TS BDL 26 2 0 06 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 34 3 0 02 Feb 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems Isabella Carla Gonnella M. Hess G. Stabile G. Rozza AI4CE 37 2 0 24 Jan 2023
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem A. Akrim C. Gogu R. Vingerhoeds M. Salaün AI4CE 35 23 0 20 Jan 2023
A deep real options policy for sequential service region design and timing Srushti Rath Joseph Y. J. Chow 23 3 0 30 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 16 0 0 13 Dec 2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study Saed Alizami Kasun Bandara A. Eshragh Foaad Iravani 16 1 0 01 Dec 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 30 5 0 31 Oct 2022
Federated Learning based Energy Demand Prediction with Clustered Aggregation Ye Lin Tun K. Thar Chu Myaet Thwal Choong Seon Hong 21 57 0 28 Oct 2022
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators Sicheng Li Andreas Adelmann AI4TS 27 7 0 21 Sep 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 61 43 0 17 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 40 20 0 08 Sep 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 29 28 0 17 Jun 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 54 16 0 11 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 89 0 21 Mar 2022
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 21 11 0 02 Mar 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 25 18 0 24 Feb 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data Dilini Sewwandi Rajapaksha Christoph Bergmeir AI4TS 16 16 0 15 Feb 2022
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 11 13 0 13 Nov 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu Ziqi Liu Ge Jin Qing Cui Lei Chen Jun Zhou Jianyong Zhou AI4TS 29 15 0 27 Oct 2021
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series Jingwei Li AI4TS 19 2 0 30 Sep 2021
Social-Media Activity Forecasting with Exogenous Information Signals Kin Wai Ng Sameera Horawalavithana Adriana Iamnitchi 19 1 0 22 Sep 2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng Wynne Hsu B. Chakraborty Nan Liu 32 84 0 21 Jul 2021