Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study-Reference-Cited by-同舟云学术

Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study

Published:2018-05-30 Issue:23 Volume:25 Page:22658-22671
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

García Nieto Paulino José,García-Gonzalo Esperanza,Sánchez Lasheras Fernando,Alonso Fernández José Ramón,Díaz Muñiz Cristina,de Cos Juez Francisco Javier

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/article/10.1007/s11356-018-2219-4/fulltext.html

Reference48 articles.

1. Barnes DJ, Chu D (2010) Introduction to modeling for biosciences. Springer, New York

2. Boopathi T, Ki J (2014) Impact of environmental factors on the regulation of cyanotoxin production. Toxins 6:1951–1978

3. Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and regression trees. Wadsworth and Brooks/Cole, Monterey

4. Brönmark C, Hansson L-A (2005) The biology of lakes and ponds. Oxford University Press, New York

5. Bühlmann P, Hothorn T (2007) Boosting algorithms: regularization, prediction and model fitting. Stat Sci 22(4):477–505

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Atlantic salmon habitat-abundance modeling using machine learning methods;Ecological Indicators;2024-03

2. Climate Change Impacts on Water Temperatures in Urban Lakes: Implications for the Growth of Blue Green Algae in Fairy Lake;Water;2024-02-16

3. Assessing industrial wastewater effluent toxicity using boosting algorithms in machine learning: A case study on ecotoxicity prediction and control strategy development;Environmental Pollution;2024-01

4. Ensemble Machine Learning of Gradient Boosting (XGBoost, LightGBM, CatBoost) and Attention-Based CNN-LSTM for Harmful Algal Blooms Forecasting;Toxins;2023-10-10

5. Rapid measurement of brown tide algae using Zernike moments and ensemble learning based on excitation-emission matrix fluorescence;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-06