Learning from class-imbalanced data: Review of methods and applications G Haixiang, L Yijing, J Shang, G Mingyun, H Yuanyue, G Bing Expert Systems with Applications 73, 220-239, 2017 | 2487 | 2017 |
Can deep learning beat numerical weather prediction? MG Schultz, C Betancourt, B Gong, F Kleinert, M Langguth, LH Leufen, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200097, 2021 | 454 | 2021 |
Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces S Sun, X Zheng, B Gong, J García Paredes, J Ordieres-Meré Sensors 20 (7), 2011, 2020 | 110 | 2020 |
Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong B Gong, J Ordieres Environmental Modelling & Software 84, 290–303, 2016 | 91 | 2016 |
Multi-level awareness of energy used in production processes F Shrouf, B Gong, J Ordieres-Meré Journal of Cleaner Production, 2016 | 53 | 2016 |
Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method B Gong, X Zheng, Q Guo, J Ordieres-Meré Energy 166, 1149-1167, 2019 | 37 | 2019 |
Temperature forecasting by deep learning methods B Gong, M Langguth, Y Ji, A Mozaffari, S Stadtler, K Mache, MG Schultz Geoscientific Model Development Discussions, 1-35, 2022 | 33 | 2022 |
Revisiting global satellite observations of stratospheric cirrus clouds L Zou, S Griessbach, L Hoffmann, B Gong, L Wang Atmospheric chemistry and physics 20 (16), 9939-9959, 2020 | 27 | 2020 |
The use of the internet of things for estimating personal pollution exposure KAG Arano, S Sun, J Ordieres-Mere International journal of environmental research and public health 16 (17), 3130, 2019 | 22 | 2019 |
JUWELS Booster--A Supercomputer for Large-Scale AI Research S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ... arXiv preprint arXiv:2108.11976, 2021 | 21 | 2021 |
Predicting Ground Level Ozone in Marrakesh by Machine-Learning Techniques J Ordieres-Meré, J Ouarzazi, B El Johra, B Gong JOURNAL OF ENVIRONMENTAL INFORMATICS 36 (2), 93-106, 2020 | 17 | 2020 |
Prediction models for ozone in metropolitan area of Mexico City based on artificial intelligence techniques G Bing, J Ordieres–Meré, CB Cabrera International Journal of Information and Decision Sciences 7 (2), 115-139, 2015 | 16 | 2015 |
HPC-oriented canonical workflows for machine learning applications in climate and weather prediction A Mozaffari, M Langguth, B Gong, J Ahring, AR Campos, P Nieters, ... Data Intelligence 4 (2), 271-285, 2022 | 7 | 2022 |
CLGAN: A GAN-based video prediction model for precipitation nowcasting Y Ji, B Gong, M Langguth, A Mozaffari, X Zhi EGUsphere, 1-23, 2022 | 4 | 2022 |
Reconfiguring existing pollutant monitoring stations by increasing the value of the gathered information B Gong, J Ordieres-Meré Environmental modelling & software 96, 106-122, 2017 | 4 | 2017 |
GAN-based video prediction model for precipitation nowcasting Y Ji, B Gong, M Langguth, A Mozaffari, K Mache, M Schultz, X Zhi EGU22, 2022 | 1 | 2022 |
Stochastic downscaling of the 2m temperature with a generative adversarial network (GAN) M Langguth, B Gong, Y Ji, M Amirpasha, K Mache, MG Schultz EGU22, 2022 | | 2022 |
Statistical Downscaling of Surface Temperature and Precipitation with Deep Neural Networks B Gong, A Mozaffari, Y Ji, K Mache, M Langguth, M Schultz Platform for Advanced Scientific Computing Conference 2022, 2022 | | 2022 |
On the use of containers for machine learning and visualization workflows on JUWELS B Gong, A Mozaffari, M Schultz, J Vogelsang NIC Symposium 2020, 2020 | | 2020 |
D1. 2: Description of business, production, operation and maintenance aspects. WS Sun, X Zheng, B Gong, JG Paredes, J Ordieres-Meré | | |