| Exploring interpretable LSTM neural networks over multi-variable data T Guo, T Lin, N Antulov-Fantulin International conference on machine learning, 2494-2504, 2019 | 233 | 2019 |
| Evaluating efficiencies and cost-effectiveness of best management practices in improving agricultural water quality using integrated SWAT and cost evaluation tool Yaoze Liu, Ruoyu Wang, Tian Guo, Bernard A Engel, Dennis C Flanagan, John G ... Journal of Hydrology 577, 123965, 2019 | 96 | 2019 |
| Comparative study of different stochastic weather generators for long-term climate data simulation S Mehan, T Guo, MW Gitau, DC Flanagan Climate 5 (2), 26, 2017 | 82 | 2017 |
| Bitcoin volatility forecasting with a glimpse into buy and sell orders T Guo, A Bifet, N Antulov-Fantulin 2018 IEEE international conference on data mining (ICDM), 989-994, 2018 | 78 | 2018 |
| Evaluation of bioenergy crop growth and the impacts of bioenergy crops on streamflow, tile drain flow and nutrient losses in an extensively tile-drained watershed using SWAT T Guo, R Cibin, I Chaubey, M Gitau, JG Arnold, R Srinivasan, JR Kiniry, ... Science of the Total Environment 613, 724-735, 2018 | 62 | 2018 |
| Predicting short-term Bitcoin price fluctuations from buy and sell orders T Guo, N Antulov-Fantulin arXiv preprint arXiv:1802.04065, 2018 | 61 | 2018 |
| Comparison of performance of tile drainage routines in SWAT 2009 and 2012 in an extensively tile-drained watershed in the Midwest T Guo, M Gitau, V Merwade, J Arnold, R Srinivasan, M Hirschi, B Engel Hydrology and Earth System Sciences 22 (1), 89-110, 2018 | 60 | 2018 |
| Less agricultural phosphorus applied in 2019 led to less dissolved phosphorus transported to Lake Erie T Guo, LT Johnson, GA LaBarge, CJ Penn, RP Stumpf, DB Baker, G Shao Environmental Science & Technology 55 (1), 283-291, 2020 | 54 | 2020 |
| Evaluating management options to reduce Lake Erie algal blooms using an ensemble of watershed models JF Martin, MM Kalcic, N Aloysius, AM Apostel, MR Brooker, G Evenson, ... Journal of Environmental Management 280, 111710, 2021 | 52 | 2021 |
| An interpretable LSTM neural network for autoregressive exogenous model T Guo, T Lin, Y Lu arXiv preprint arXiv:1804.05251, 2018 | 52 | 2018 |
| A SWAT-based optimization tool for obtaining cost-effective strategies for agricultural conservation practice implementation at watershed scales Yaoze Liu, Tian Guo, Ruoyu Wang, Bernard A Engel, Dennis C Flanagan, Siyu Li ... Science of The Total Environment 691, 685-696, 2019 | 51 | 2019 |
| Needed: Early-term adjustments for Lake Erie phosphorus target loads to address western basin cyanobacterial blooms DB Baker, LT Johnson, RB Confesor Jr, JP Crumrine, T Guo, NF Manning Journal of Great Lakes Research 45 (2), 203-211, 2019 | 43 | 2019 |
| Esg2risk: A deep learning framework from esg news to stock volatility prediction T Guo, N Jamet, V Betrix, LA Piquet, E Hauptmann arXiv preprint arXiv:2005.02527, 2020 | 38 | 2020 |
| Modeling and assessing water and nutrient balances in a tile-drained agricultural watershed in the US Corn Belt D Ren, B Engel, JAV Mercado, T Guo, Y Liu, G Huang Water research 210, 117976, 2022 | 32 | 2022 |
| Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT) T Guo, BA Engel, G Shao, JG Arnold, R Srinivasan, JR Kiniry Environmental Modelling & Software 122, 104295, 2019 | 32 | 2019 |
| Uncertainty in critical source area predictions from watershed-scale hydrologic models GR Evenson, M Kalcic, YC Wang, D Robertson, D Scavia, J Martin, ... Journal of Environmental Management 279, 111506, 2021 | 30 | 2021 |
| Functional approach to simulating short-rotation woody crops in process-based models T Guo, BA Engel, G Shao, JG Arnold, R Srinivasan, JR Kiniry Bioenergy Research 8, 1598-1613, 2015 | 30 | 2015 |
| The hydrologic model as a source of nutrient loading uncertainty in a future climate H Kujawa, M Kalcic, J Martin, N Aloysius, A Apostel, J Kast, A Murumkar, ... Science of the Total Environment 724, 138004, 2020 | 25 | 2020 |
| Multi-variable LSTM neural network for autoregressive exogenous model T Guo, T Lin arXiv preprint arXiv:1806.06384, 2018 | 25 | 2018 |
| Impact of number of realizations on the suitability of simulated weather data for hydrologic and environmental applications T Guo, S Mehan, MW Gitau, Q Wang, T Kuczek, DC Flanagan Stochastic Environmental Research and Risk Assessment, 1-17, 2017 | 25 | 2017 |
Bernard (Bernie) A. EngelProfessor, Agricultural and Biological Engineering, Purdue Universityبريد إلكتروني تم التحقق منه على purdue.edu