Pieter Cawood - Google Scholar

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Citations	28	27
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202020212022202320241 7 12 7

Co-authors

Terence L van ZylProfessor at Insititute for Intelligent Systems, University of JohannesburgVerified email at uj.ac.za

Pieter Cawood

Pieter Cawood

The University of the Witwatersrand

Verified email at infinite-process.com

Machine-Learning Reinforcement-learning Computer Science Embedded Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evaluating state-of-the-art, forecasting ensembles and meta-learning strategies for model fusion P Cawood, T Van Zyl Forecasting 4 (3), 732-751, 2022	16	2022
Feature-weighted stacking for nonseasonal time series forecasts: A case study of the covid-19 epidemic curves P Cawood, TL van Zyl 2021 8th International Conference on Soft Computing & Machine Intelligence …, 2021	11	2021
Evaluating State of the Art, Forecasting Ensembles-and Meta-learning Strategies for Model Fusion. Preprints 2022, 1, 0 P Cawood, T van Zyl International Conference on Soft Computing & Machine Intelligence (ISCMI …, 2020	1	2020
Time-series forecasting: an empirical evaluation of the state of the art, ensembles-and meta-learning strategies NP Cawood		2022
A Replication Study of the TA-Prioritized Algorithm with a Modified Deadlock Avoidance Method P Cawood https://rxiv.org/abs/2407.0093, 2020		2020

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Articles 1–5