Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

29 November 2019

Papers citing "Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019"

38 / 38 papers shown

Title
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 51 0 0 04 May 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 27 0 0 19 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment Bokai Cao Saizhuo Wang Xinyi Lin Xiaojun Wu Haohan Zhang L. Ni Jian Guo AIFin 52 0 0 27 Mar 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation Ashraf Ghiye Baptiste Barreau Laurent Carlier Michalis Vazirgiannis 76 0 0 18 Mar 2025
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Feng Xia AI4TS AI4CE 48 4 0 13 Mar 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Y. Huang Mi Zhang Z. Wang Wenxuan Li Min Yang AI4TS AAML 47 0 0 12 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling Hao Li Yu Huang Chang Xu Viktor Schlegel Ren-He Jiang R. Batista-Navarro Goran Nenadic Jiang Bian DiffM AI4CE 115 3 0 04 Mar 2025
A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions Elisa Negrini Yuxuan Liu Liu Yang Stanley Osher Hayden Schaeffer AI4CE 86 0 0 09 Feb 2025
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 41 1 0 09 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision Transformers Toqa Alaa Mostafa Kotb Arwa Zakaria Mariam Diab Walid Gomaa 23 1 0 06 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 28 0 0 04 Oct 2024
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction Zhanwen Liu Chao Li Nan Yang Yang Wang Jiaqi Ma Guangliang Cheng Xiangmo Zhao 28 2 0 08 Jul 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 58 0 0 11 Jun 2024
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule Xinhao Fan S. P. Mysore 21 0 0 23 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 36 2 0 17 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 32 2 0 16 May 2024
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction Jarrod Mau Kevin Moon PINN AI4TS 6 0 0 09 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 19 3 0 06 Feb 2024
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE) Raffaele Marino Lorenzo Giambagli Lorenzo Chicchi L. Buffoni Duccio Fanelli 7 7 0 17 Nov 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 31 116 0 16 Oct 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 28 0 0 13 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 24 4 0 12 Oct 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 13 9 0 28 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 44 0 21 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 14 8 0 05 Jul 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 15 1 0 09 May 2023
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 51 42 0 17 Sep 2022
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification M. Shabani D. Tran J. Kanniainen Alexandros Iosifidis OOD AIFin 19 6 0 23 Jul 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 23 271 0 17 Jun 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 13 83 0 30 Mar 2022
A Review of Open Source Software Tools for Time Series Analysis Yunus Parvej Faniband I. Ishak S. M. Sait AI4TS 11 6 0 10 Mar 2022
Case-based reasoning for rare events prediction on strategic sites Vincent Vidal M. Corbineau Tugdual Ceillier 14 0 0 10 Feb 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 28 54 0 05 Dec 2021
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning J. Meiyazhagan S. Sudharsan M. Senthilvelan AI4TS 9 17 0 14 Jul 2021
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks Yi-Ling Hsu Yu-Che Tsai Cheng-Te Li AIFin AI4TS 17 16 0 18 Jun 2021
Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction Katsuya Ito Kentaro Minami Kentaro Imajo Kei Nakagawa AIFin 11 13 0 18 Dec 2020
Deep Learning for Financial Applications : A Survey A. Ozbayoglu M. U. Gudelek Omer Berat Sezer AIFin AI4CE 22 384 0 09 Feb 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016