Data-driven reduced order model with temporal convolutional neural network P Wu, J Sun, X Chang, W Zhang, R Arcucci, Y Guo, CC Pain Computer Methods in Applied Mechanics and Engineering 360, 112766, 2020 | 116 | 2020 |
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ... IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023 | 110 | 2023 |
Deep data assimilation: integrating deep learning with data assimilation R Arcucci, J Zhu, S Hu, YK Guo Applied Sciences 11 (3), 1114, 2021 | 100 | 2021 |
Data learning: Integrating data assimilation and machine learning C Buizza, CQ Casas, P Nadler, J Mack, S Marrone, Z Titus, C Le Cornec, ... Journal of Computational Science 58, 101525, 2022 | 90 | 2022 |
A time-series clustering methodology for knowledge extraction in energy consumption data LGB Ruiz, MC Pegalajar, R Arcucci, M Molina-Solana Expert Systems with Applications 160, 113731, 2020 | 81 | 2020 |
An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments P Kumar, G Kalaiarasan, AE Porter, A Pinna, MM Kłosowski, ... Science of the total environment 756, 143553, 2021 | 78 | 2021 |
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting S Cheng, IC Prentice, Y Huang, Y Jin, YK Guo, R Arcucci Journal of Computational Physics 464, 111302, 2022 | 70 | 2022 |
Generalised latent assimilation in heterogeneous reduced spaces with machine learning surrogate models S Cheng, J Chen, C Anastasiou, P Angeli, OK Matar, YK Guo, CC Pain, ... Journal of Scientific Computing 94 (1), 11, 2023 | 61 | 2023 |
Optimal reduced space for variational data assimilation R Arcucci, L Mottet, C Pain, YK Guo Journal of Computational Physics 379, 51-69, 2019 | 59 | 2019 |
Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias Z Wan, C Liu, M Zhang, J Fu, B Wang, S Cheng, L Ma, C Quilodrán-Casas, ... Advances in Neural Information Processing Systems 36, 2024 | 53 | 2024 |
An epidemiological modelling approach for COVID-19 via data assimilation P Nadler, S Wang, R Arcucci, X Yang, Y Guo European Journal of Epidemiology 35, 749-761, 2020 | 52 | 2020 |
A reduced order deep data assimilation model CQ Casas, R Arcucci, P Wu, C Pain, YK Guo Physica D: Nonlinear Phenomena 412, 132615, 2020 | 49 | 2020 |
M-flag: Medical vision-language pre-training with frozen language models and latent space geometry optimization C Liu, S Cheng, C Chen, M Qiao, W Zhang, A Shah, W Bai, R Arcucci International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 48 | 2023 |
Generative text-guided 3d vision-language pretraining for unified medical image segmentation Y Chen, C Liu, W Huang, S Cheng, R Arcucci, Z Xiong arXiv preprint arXiv:2306.04811, 2023 | 48 | 2023 |
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic C Quilodrán-Casas, VLS Silva, R Arcucci, CE Heaney, YK Guo, CC Pain Neurocomputing 470, 11-28, 2022 | 46 | 2022 |
Natural ventilation in cities: the implications of fluid mechanics J Song, S Fan, W Lin, L Mottet, H Woodward, M Davies Wykes, R Arcucci, ... Building Research & Information 46 (8), 809-828, 2018 | 44 | 2018 |
Frozen language model helps ecg zero-shot learning J Li, C Liu, S Cheng, R Arcucci, S Hong Medical Imaging with Deep Learning, 402-415, 2024 | 43 | 2024 |
A scalable approach for variational data assimilation L D’Amore, R Arcucci, L Carracciuolo, A Murli Journal of Scientific Computing 61, 239-257, 2014 | 43 | 2014 |
Parameter flexible wildfire prediction using machine learning techniques: Forward and inverse modelling S Cheng, Y Jin, SP Harrison, C Quilodrán-Casas, IC Prentice, YK Guo, ... Remote Sensing 14 (13), 3228, 2022 | 40 | 2022 |
On the variational data assimilation problem solving and sensitivity analysis R Arcucci, L D'Amore, J Pistoia, R Toumi, A Murli Journal of Computational Physics 335, 311-326, 2017 | 39 | 2017 |