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2020 – today
- 2025
[j23]Sibo Cheng
, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. Comput. Phys. Commun. 306: 109359 (2025)- 2024
- [j22]César Quilodrán Casas, Qian Li, Ningbo Zhang, Sibo Cheng, Shiqiang Yan, Qingwei Ma, Rossella Arcucci:
Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environ. Model. Softw. 177: 106051 (2024) - [j21]Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci:
Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. 15(3): 1981-1994 (2024) - [j20]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. 496: 112581 (2024) - [c32]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. ICASSP 2024: 1686-1690 - [c31]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c30]Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci:
Neural Network as Transformation Function in Data Assimilation. ICCS (5) 2024: 322-329 - [c29]Andrianirina Rakotoharisoa, Simone Cenci, Rossella Arcucci:
Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data. ICCS (5) 2024: 383-390 - [c28]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML 2024 - [c27]Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong:
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. MICCAI (11) 2024: 124-134 - [i40]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR abs/2401.01179 (2024) - [i39]Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán Casas:
Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. CoRR abs/2401.07604 (2024) - [i38]Hao Zhou, Sibo Cheng, Rossella Arcucci:
Multi-fidelity physics constrained neural networks for dynamical systems. CoRR abs/2402.02031 (2024) - [i37]Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci:
Explainable Global Wildfire Prediction Models using Graph Neural Networks. CoRR abs/2402.07152 (2024) - [i36]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i35]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR abs/2403.06659 (2024) - [i34]Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong:
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. CoRR abs/2403.15992 (2024) - [i33]Robert Platt, Rossella Arcucci, Cédric M. John:
Noise2Noise Denoising of CRISM Hyperspectral Data. CoRR abs/2403.17757 (2024) - [i32]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR abs/2406.07146 (2024) - [i31]Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci:
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale. CoRR abs/2409.00237 (2024) - [i30]Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. CoRR abs/2409.00244 (2024) - [i29]Sicheng Wang, Che Liu, Rossella Arcucci:
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? CoRR abs/2409.00543 (2024) - [i28]Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci:
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. CoRR abs/2410.01089 (2024) - [i27]Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci:
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR abs/2410.13523 (2024) - 2023
- [j19]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j18]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94(1): 11 (2023) - [j17]Sibo Cheng, Yike Guo, Rossella Arcucci:
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1420-1430 (2023) - [c26]Jake Lever, Sibo Cheng, Rossella Arcucci:
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. ICCS (4) 2023: 422-429 - [c25]Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci:
An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. ICCS (4) 2023: 430-437 - [c24]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) 2023: 637-647 - [c23]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL 2023: 402-415 - [c22]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i26]Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR abs/2301.10171 (2023) - [i25]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i24]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR abs/2303.12311 (2023) - [i23]Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci:
Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR abs/2305.00261 (2023) - [i22]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i21]Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong:
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. CoRR abs/2306.04811 (2023) - [i20]Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban:
A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. CoRR abs/2307.01157 (2023) - [i19]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR abs/2307.08347 (2023) - [i18]Sibo Cheng, Yike Guo, Rossella Arcucci:
A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR abs/2308.02810 (2023) - [i17]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i16]Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci:
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. CoRR abs/2310.07027 (2023) - [i15]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR abs/2310.07355 (2023) - [i14]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR abs/2310.16187 (2023) - [i13]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR abs/2312.01522 (2023) - [i12]Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci:
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR abs/2312.01529 (2023) - 2022
- [j16]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing 470: 11-28 (2022) - [j15]Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci:
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. 464: 111302 (2022) - [j14]Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci:
Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 58: 101525 (2022) - [j13]Jake Lever, Rossella Arcucci:
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting. J. Comput. Soc. Sci. 5(2): 1427-1465 (2022) - [j12]Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci:
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. 14(13): 3228 (2022) - [c21]Sibo Cheng, César Quilodrán Casas, Rossella Arcucci:
Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) 2022: 31-44 - [c20]Jake Lever, Rossella Arcucci:
Towards Social Machine Learning for Natural Disasters. ICCS (3) 2022: 756-769 - [c19]Jake Lever, Rossella Arcucci, Jaiying Cai:
Social Data Assimilation of Human Sensor Networks for Wildfires. PETRA 2022: 455-462 - [i11]Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas:
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. CoRR abs/2201.02433 (2022) - [i10]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR abs/2204.03497 (2022) - 2021
- [j11]Luisa D'Amore, Aniello Murano, Loredana Sorrentino, Rossella Arcucci, Giuliano Laccetti:
Toward a multilevel scalable parallel Zielonka's algorithm for solving parity games. Concurr. Comput. Pract. Exp. 33(4) (2021) - [j10]Pin Wu, Xuting Chang, Wenyan Yuan, Junwu Sun, Wenjie Zhang, Rossella Arcucci, Yike Guo:
Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. J. Comput. Sci. 51: 101323 (2021) - [c18]Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain:
Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops 2021: 255-266 - [c17]Jamal Afzali, César Quilodrán Casas, Rossella Arcucci:
Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. ICCS (5) 2021: 360-372 - [c16]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) 2021: 373-386 - [i9]César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR abs/2101.01568 (2021) - [i8]Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo:
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR abs/2101.02121 (2021) - [i7]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR abs/2102.02664 (2021) - [i6]Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR abs/2103.00485 (2021) - [i5]César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain:
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR abs/2104.06297 (2021) - [i4]Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy:
Correcting public opinion trends through Bayesian data assimilation. CoRR abs/2105.14276 (2021) - [i3]Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo:
A Scalable Inference Method For Large Dynamic Economic Systems. CoRR abs/2110.14346 (2021) - 2020
- [j9]Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo:
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. IEEE Comput. Intell. Mag. 15(4): 23-33 (2020) - [j8]Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez, Rossella Arcucci, Miguel Molina-Solana:
A time-series clustering methodology for knowledge extraction in energy consumption data. Expert Syst. Appl. 160: 113731 (2020) - [j7]Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo:
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42: 101110 (2020) - [c15]Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo:
Neural Assimilation. ICCS (6) 2020: 155-168 - [c14]Philip Nadler, Rossella Arcucci, Yike Guo:
An Econophysical Analysis of the Blockchain Ecosystem. MARBLE 2020: 27-42 - [c13]Philip Nadler, Rossella Arcucci, Yike Guo:
A Neural SIR Model for Global Forecasting. ML4H@NeurIPS 2020: 254-266 - [i2]Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo:
An Epidemiological Modelling Approach for Covid19 via Data Assimilation. CoRR abs/2004.12130 (2020) - [i1]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Neural Network. CoRR abs/2012.12056 (2020)
2010 – 2019
- 2019
- [j6]Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo:
Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. 2(2): 83-91 (2019) - [j5]Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo:
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379: 51-69 (2019) - [c12]Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo:
Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops 2019: 583-595 - [c11]Rossella Arcucci, Douglas McIlwraith, Yike Guo:
Scalable Weak Constraint Gaussian Processes. ICCS (4) 2019: 111-125 - [c10]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
A Scalable Approach to Econometric Inference. PARCO 2019: 59-68 - [c9]Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo:
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO 2019: 189-198 - [c8]Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci:
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS 2019: 633-640 - [c7]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
Data Assimilation for Parameter Estimation in Economic Modelling. SITIS 2019: 649-656 - 2018
- [j4]Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1(4): 297-307 (2018) - 2017
- [j3]Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti:
A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism. Int. J. Parallel Program. 45(5): 1214-1235 (2017) - [j2]Rossella Arcucci, Luisa D'Amore, Jenny Pistoia, Ralf Toumi, Almerico Murli:
On the variational data assimilation problem solving and sensitivity analysis. J. Comput. Phys. 335: 311-326 (2017) - [c6]Rossella Arcucci, Umberto Marotta, Aniello Murano, Loredana Sorrentino:
Parallel Parity Games: a Multicore Attractor for the Zielonka Recursive Algorithm. ICCS 2017: 525-534 - [c5]Rossella Arcucci, Davide Basciano, Alessandro Cilardo, Luisa D'Amore, Filippo Mantovani:
Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems. PPAM (2) 2017: 37-47 - [c4]Luisa D'Amore, Rossella Arcucci, Yi Li, Raffaele Montella, Andrew Moore, Luke Phillipson, Ralf Toumi:
Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS. PPAM (2) 2017: 48-57 - 2015
- [c3]Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo:
On the problem-decomposition of scalable 4D-Var Data Assimilation models. HPCS 2015: 589-594 - [c2]Rossella Arcucci, Luisa D'Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli:
A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems. PPAM (2) 2015: 45-54 - 2014
- [j1]Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli:
A Scalable Approach for Variational Data Assimilation. J. Sci. Comput. 61(2): 239-257 (2014) - 2013
- [c1]Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli:
DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System. ICCS 2013: 1235-1244
Coauthor Index
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