EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

9 November 2018

Papers citing "EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction"

25 / 25 papers shown

Title
On the choice of the non-trainable internal weights in random feature maps Pinak Mandal Georg Gottwald Nicholas Cranch TPM 40 1 0 07 Aug 2024
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting Raquel Espinosa Fernando Jiménez José Palma AI4TS 24 1 0 29 Dec 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 27 0 0 05 Sep 2023
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network Haoming Zhang Zhanxin Wang Heike Vallery 35 7 0 01 Sep 2023
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model Zahra Fatemi Minh-Thu T. Huynh Elena Zheleva Zamir Syed Xiaojun Di AI4TS 26 3 0 15 Jun 2023
EAMDrift: An interpretable self retrain model for time series Gonccalo Mateus Cláudia Soares João Leitão António Rodrigues AI4TS 18 0 0 31 May 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 22 12 0 24 Feb 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 37 13 0 13 Feb 2023
$A new hazard event classification model via deep learning and multifractal$ A new hazard event classification model via deep learning and multifractal Zhenhua Wang Bin Wang Ming Ren Dong Gao AI4CE 30 10 0 12 Sep 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 32 70 0 23 Aug 2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes Vinayak Gupta Srikanta J. Bedathur Sourangshu Bhattacharya A. De AI4TS 41 13 0 23 Jun 2022
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction Fan Jin Ke Zhang Huang Yipan Yifei Zhu Baiping Chen AI4TS 16 173 0 02 Mar 2022
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting Benhan Li Shengdong Du Tianrui Li AI4TS 28 2 0 23 Feb 2022
pmSensing: A Participatory Sensing Network for Predictive Monitoring of Particulate Matter L. Sachetti Enzo B. Cussuol J. Nogueira Vinícius F. S. Mota 14 0 0 22 Nov 2021
Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping L. Sachetti Vinícius F. S. Mota AI4TS HAI 11 0 0 22 Nov 2021
LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction Kun Li Meng-Jie Li Yanling Li Min Lin MGen 17 1 0 27 Oct 2021
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks Debasrita Chakraborty Debayan Goswami Susmita K. Ghosh Ashish Ghosh Jonathan H. Chan 19 10 0 20 Aug 2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction Siyuan Ren Bin Guo LongBing Cao Ke Li Jiaqi Liu Zhiwen Yu 21 8 0 18 Aug 2021
Classification of multivariate weakly-labelled time-series with attention S. Rahman Chang Wei Tan 27 0 0 16 Feb 2021
Energy consumption forecasting using a stacked nonparametric Bayesian approach Dilusha Weeraddana N. Khoa Lachlan OÑeil Weihong Wang C. Cai AI4TS 8 3 0 11 Nov 2020
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation Tryambak Gangopadhyay Sin Yong Tan Zhanhong Jiang Rui Meng S. Sarkar AI4TS 27 45 0 11 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 35 26 0 09 Aug 2020
Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity Donghan Liu Benjamin C. M. Fung T. Wong 13 0 0 11 Jun 2020
Difference Attention Based Error Correction LSTM Model for Time Series Prediction Yuxuan Liu Jiangyong Duan Juan Meng AI4TS 23 7 0 30 Mar 2020
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction Yeqi Liu Chuanyang Gong Ling Yang Yingyi Chen AI4TS 19 305 0 16 Apr 2019