| Forecasting daily streamflow using online sequential extreme learning machines AR Lima, AJ Cannon, WW Hsieh Journal of Hydrology 537, 431-443, 2016 | 108 | 2016 |
| Nonlinear regression in environmental sciences using extreme learning machines: a comparative evaluation AR Lima, AJ Cannon, WW Hsieh Environmental Modelling & Software 73, 175-188, 2015 | 84 | 2015 |
| Evaluating hourly air quality forecasting in Canada with nonlinear updatable machine learning methods H Peng, AR Lima, A Teakles, J Jin, AJ Cannon, WW Hsieh Air Quality, Atmosphere & Health 10, 195-211, 2017 | 69 | 2017 |
| Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy AR Lima, AJ Cannon, WW Hsieh Computers & Geosciences 50, 136-144, 2013 | 48 | 2013 |
| Variable complexity online sequential extreme learning machine, with applications to streamflow prediction AR Lima, WW Hsieh, AJ Cannon Journal of Hydrology 555, 983-994, 2017 | 37 | 2017 |
| Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022 | 31 | 2022 |
| Solar Irradiance Forecasting Using Dynamic Ensemble Selection DS de O. Santos Jr, PSG de Mattos Neto, JFL de Oliveira, HV Siqueira, ... Applied Sciences 12 (7), 3510, 2022 | 25 | 2022 |
| Forecasting El Niño with Convolutional and Recurrent Neural Networks A Mahesh, M Evans, G Jain, M Castillo, A Lima, B Lunghino, H Gupta, ... 33rd Conference on Neural Information Processing Systems (NeurIPS 2019 …, 2019 | 21 | 2019 |
| An experimental study of fitness function and time series forecasting using artificial neural networks AR Lima Junior, DA Silva, PS Mattos Neto, TAE Ferreira Proceedings of the 12th annual conference companion on Genetic and …, 2010 | 19 | 2010 |
| Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ... Water 14 (7), 1032, 2022 | 16 | 2022 |
| A perturbative approach for enhancing the performance of time series forecasting PSG de Mattos Neto, TAE Ferreira, AR Lima, GC Vasconcelos, ... Neural Networks 88, 114-124, 2017 | 16 | 2017 |
| Downscaling temperature and precipitation using support vector regression with evolutionary strategy AR Lima, AJ Cannon, WW Hsieh The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 10 | 2012 |
| An intelligent perturbative approach for the time series forecasting problem PSG de Mattos Neto, AR Lima, TAE Ferreira, GDC Cavalcanti The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 10 | 2010 |
| A study for multi-objective fitness function for time series forecasting with intelligent techniques AR Lima Junior Proceedings of the 10th annual conference companion on Genetic and …, 2008 | 6 | 2008 |
| Systems and methods for selecting global climate simulation models for training neural network climate forecasting models MC Tocornal, BD Lunghino, MC Evans, CFG Ospina, AR Lima US Patent 10,909,446, 2021 | 5 | 2021 |
| Time series forecasting using a perturbative intelligent system PSG de Mattos Neto, AR Lima Junior, TAE Ferreira Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 5 | 2010 |
| An intelligent perturbative approach for the time series forecasting problem P Salgado, A Lima, T Ferreira, G Cavalcanti International joint conference on neural networks, 2010 | 5 | 2010 |
| A hybrid method for tuning neural network for time series forecasting AR Lima Junior, TAE Ferreira Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 5 | 2008 |
| Dataset for'Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning', Water 2022 H Weierbach, A Lima, J Willard, V Hendrix, D Christianson, M Lubich, ... Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2022 | 2 | 2022 |
| A Comparison of Data-Driven Models for Predicting Stream Water Temperature H Weierbach, AR Lima, D Christianson, B Faybishenko, V Hendrix, ... 34rd Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 2 | 2020 |
William W. HsiehDepartment of Earth, Ocean and Atmospheric Sciences, University of British ColumbiaAdresse e-mail validée de eos.ubc.ca
