Machine Learning Advances for Time Series Forecasting

23 December 2020

Papers citing "Machine Learning Advances for Time Series Forecasting"

31 / 31 papers shown

Title
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models Yanlong Wang Jian Xu Tiantian Gao Hongkang Zhang Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 44 0 0 10 Mar 2025
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Jin Cui Alexander Capstick Payam Barnaghi Gregory Scott 44 0 0 14 Feb 2025
Stabilizing black-box model selection with the inflated argmax Melissa Adrian Jake A. Soloff Rebecca Willett 30 0 0 23 Oct 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds Yuyang Zhang Shahriar Talebi Na Li 39 1 0 09 May 2024
Machine learning and economic forecasting: the role of international trade networks T. C. Silva P. V. B. Wilhelm D. R. Amancio 34 6 0 11 Apr 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen Mark Goldstein Mengjian Hua M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden AI4TS 33 16 0 20 Mar 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance Ted Fujimoto Joshua Suetterlein Samrat Chatterjee A. Ganguly OffRL 22 3 0 05 Feb 2024
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park Choong Seon Hong AI4TS AIFin 25 5 0 22 Jan 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction Dennis Wu Jerry Yao-Chieh Hu Weijian Li Bo-Yu Chen Han Liu AI4TS 24 31 0 28 Dec 2023
auto-sktime: Automated Time Series Forecasting Marc-André Zöller Marius Lindauer Marco F. Huber AI4TS 26 0 0 13 Dec 2023
Econometrics of Machine Learning Methods in Economic Forecasting Andrii Babii Eric Ghysels Jonas Striaukas 30 2 0 21 Aug 2023
A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing highly cited and impactful publications across six decades Ezugwu E. Absalom Japie Greeff Y. Ho 18 3 0 01 Aug 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 19 11 0 28 Jul 2023
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis Diego Botache Kristina Dingel Rico Huhnstock A. Ehresmann Bernhard Sick 15 0 0 26 Jul 2023
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens Akshansh Mishra V. Jatti 16 0 0 13 Jul 2023
Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks M. Mauro G. Galatro F. Postiglione Wei Song A. Liotta AI4TS 12 12 0 13 Jul 2023
Feature Programming for Multivariate Time Series Prediction Alex Reneau Jerry Yao-Chieh Hu Chenwei Xu Weijian Li Ammar Gilani Han Liu AI4TS 28 9 0 09 Jun 2023
Differential Convolutional Fuzzy Time Series Forecasting Tianxiang Zhan Yuanpeng He Yong Deng Z. Li AI4TS 20 4 0 15 May 2023
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 30 4 0 15 Dec 2022
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars Samveg Shah Shubham Thakar Kashish Jain Bhavya Shah Sudhir Dhage 13 2 0 15 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 33 23 0 07 Oct 2022
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions Fernando Moreno-Pino S. Zohren 26 12 0 23 Sep 2022
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators Sicheng Li Andreas Adelmann AI4TS 19 7 0 21 Sep 2022
Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data Alex Troy Mallen Christoph Keller J. Nathan Kutz AI4TS 16 0 0 18 Sep 2022
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 29 17 0 28 Aug 2022
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting Martim Sousa Ana Maria Tomé José Manuel Moreira AI4TS 11 1 0 28 Jul 2022
Improved Batching Strategy For Irregular Time-Series ODE Ting Fung Lam Yony Bresler Ahmed E. Khorshid Nathan Perlmutter AI4TS 18 0 0 12 Jul 2022
Review of automated time series forecasting pipelines Stefan Meisenbacher Marian Turowski Kaleb Phipps Martin Ratz D. Muller V. Hagenmeyer Ralf Mikut TPM AI4TS 22 52 0 03 Feb 2022
Solving Multistage Stochastic Linear Programming via Regularized Linear Decision Rules: An Application to Hydrothermal Dispatch Planning Felipe Nazaré A. Street 15 5 0 07 Oct 2021
The Age of Correlated Features in Supervised Learning based Forecasting Md Kamran Chowdhury Shisher Heyang Qin Lei Yang Feng Yan Yin Sun OOD 11 22 0 27 Feb 2021
Autoregressive Process Modeling via the Lasso Procedure Yuval Nardi Alessandro Rinaldo 68 157 0 08 May 2008