Forecast Evaluation for Data Scientists: Common Pitfalls and Best
Practices

Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices

21 March 2022

Hansika Hewamalage

Klaus Ackermann

Christoph Bergmeir

Papers citing "Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices"

16 / 16 papers shown

Title
ModelRadar: Aspect-based Forecast Evaluation Vítor Cerqueira Luis Roque Carlos Soares 108 0 0 31 Mar 2025
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks Mouad Elaarabi Domenico Borzacchiello Yves Le Guennec Philippe Le Bot Sebastien Comas-Cardona 113 1 0 20 Jan 2025
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting Benhan Li Shengdong Du Tianrui Li Jie Hu Zhenglong Jia AI4TS 27 2 0 11 Jun 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 38 61 0 08 Jun 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 73 11 0 24 May 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Fuchun Sun Zhewei Wei AI4TS 29 47 0 23 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 51 165 0 03 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 48 265 0 30 Jan 2022
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge M. Abolghasemi Rasul Esmaeilbeigi 15 8 0 07 Dec 2021
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 96 103 0 18 Oct 2021
AdaRNN: Adaptive Learning and Forecasting of Time Series Yuntao Du Jindong Wang Wenjie Feng Sinno Jialin Pan Tao Qin Renjun Xu Chongjun Wang AI4TS 47 239 0 10 Aug 2021
Measuring Data Leakage in Machine-Learning Models with Fisher Information Awni Y. Hannun Chuan Guo Laurens van der Maaten FedML MIACV 20 55 0 23 Feb 2021
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 43 367 0 04 Dec 2020
Kaggle forecasting competitions: An overlooked learning opportunity Casper Solheim Bojer Jens Peder Meldgaard AI4TS 31 207 0 16 Sep 2020
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 59 880 0 02 Sep 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 223 2,668 0 12 Sep 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.