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A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting

17 June 2022

Georgia Papacharalampous

Hristos Tyralis

AI4CE

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Papers citing "A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting"

32 / 32 papers shown

Title
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 114 2 0 17 Jun 2023
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 68 178 0 07 Dec 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 60 144 0 09 May 2022
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale Georgia Papacharalampous Hristos Tyralis I. Pechlivanidis S. Grimaldi E. Volpi AI4TS 39 12 0 25 Jul 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 96 371 0 04 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 343 1,927 0 12 Nov 2020
Principles and Practice of Explainable Machine Learning Vaishak Belle I. Papantonis FaML 67 449 0 18 Sep 2020
Kaggle forecasting competitions: An overlooked learning opportunity Casper Solheim Bojer Jens Peder Meldgaard AI4TS 74 207 0 16 Sep 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 94 1,234 0 28 Apr 2020
Boosting algorithms in energy research: A systematic review Hristos Tyralis Georgia Papacharalampous 84 45 0 01 Apr 2020
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability Georgia Papacharalampous Hristos Tyralis AI4TS 33 36 0 02 Jan 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction Tony Duan Anand Avati D. Ding Khanh K. Thai S. Basu A. Ng Alejandro Schuler BDL 34 303 0 08 Oct 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 81 892 0 02 Sep 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 57 14 0 26 Aug 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 89 672 0 21 May 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 184 112 0 15 May 2019
Why scoring functions cannot assess tail properties Jonas R. Brehmer K. Strokorb 30 20 0 10 May 2019
Deep Distribution Regression Rui-Bing Li H. Bondell Brian J. Reich UQCV 60 33 0 14 Mar 2019
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics Yanfei Kang Rob J. Hyndman Feng Li AI4TS 65 106 0 07 Mar 2019
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 135 92 0 30 Jul 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 194 690 0 06 Dec 2017
Feature-based time-series analysis Ben D. Fulcher AI4TS 86 131 0 23 Sep 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 85 2,127 0 13 Apr 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 79 340 0 06 Apr 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 327 1,366 0 05 Oct 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 814 39,062 0 09 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Highly comparative feature-based time-series classification Ben D. Fulcher N. Jones AI4TS 54 316 0 15 Jan 2014
Highly comparative time-series analysis: The empirical structure of time series and their methods Ben D. Fulcher Max A. Little N. Jones AI4TS 102 343 0 03 Apr 2013
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition Souhaib Ben Taieb Gianluca Bontempi A. Atiya A. Sorjamaa AI4TS 104 595 0 16 Aug 2011
Making and Evaluating Point Forecasts T. Gneiting 107 1,055 0 04 Dec 2009
BART: Bayesian additive regression trees H. Chipman E. George R. McCulloch 156 1,795 0 19 Jun 2008