Rossella Arcucci

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 83

Top Topics

Tikhonov Regularization

Machine Learning

Data Assimilation

Top Venues

J. Comput. Phys.

Publications

Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci
Explainable Global Wildfire Prediction Models using Graph Neural Networks. CoRR (2024)
Andrianirina Rakotoharisoa, Simone Cenci, Rossella Arcucci
Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data. ICCS (5) (2024)
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 (2024)
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 (2024)
Hao Zhou, Sibo Cheng, Rossella Arcucci
Multi-fidelity physics constrained neural networks for dynamical systems. CoRR (2024)
Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. CoRR (2024)
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)
Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP (2024)
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) (2024)
Robert Platt, Rossella Arcucci, Cédric M. John
Noise2Noise Denoising of CRISM Hyperspectral Data. CoRR (2024)
Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
Neural Network as Transformation Function in Data Assimilation. ICCS (5) (2024)
Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. 496 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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 (2023)
Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR (2023)
Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR (2023)
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR (2023)
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 (2023)
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) (2023)
Sibo Cheng, Yike Guo, Rossella Arcucci
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR (2023)
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 (2023)
Jake Lever, Sibo Cheng, Rossella Arcucci
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. ICCS (4) (2023)
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 (2023)
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)
Sibo Cheng, Yike Guo, Rossella Arcucci
A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR (2023)
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) (2023)
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL (2023)
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 (2023)
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 (2023)
Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci
An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. ICCS (4) (2023)
Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. CoRR (2023)
Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR (2023)
Sibo Cheng, César Quilodrán Casas, Rossella Arcucci
Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) (2022)
Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. CoRR (2022)
Jake Lever, Rossella Arcucci, Jaiying Cai
Social Data Assimilation of Human Sensor Networks for Wildfires. PETRA (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
Jake Lever, Rossella Arcucci
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting. J. Comput. Soc. Sci. 5 (2) (2022)
Jake Lever, Rossella Arcucci
Towards Social Machine Learning for Natural Disasters. ICCS (3) (2022)
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 (2021)
Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR (2021)
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)
César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR (2021)
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)
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)
Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy
Correcting public opinion trends through Bayesian data assimilation. CoRR (2021)
Jamal Afzali, César Quilodrán Casas, Rossella Arcucci
Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. ICCS (5) (2021)
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 (2021)
Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo
A Scalable Inference Method For Large Dynamic Economic Systems. CoRR (2021)
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 (2021)
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 (2021)
Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo
An Epidemiological Modelling Approach for Covid19 via Data Assimilation. CoRR (2020)
Philip Nadler, Rossella Arcucci, Yike Guo
A Neural SIR Model for Global Forecasting. ML4H@NeurIPS (2020)
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) (2020)
Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo
Neural Assimilation. ICCS (6) (2020)
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 (2020)
Luis G. 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 (2020)
Philip Nadler, Rossella Arcucci, Yike Guo
An Econophysical Analysis of the Blockchain Ecosystem. MARBLE (2020)
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 (2020)
Rossella Arcucci, Douglas McIlwraith, Yike Guo
Scalable Weak Constraint Gaussian Processes. ICCS (4) (2019)
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
Data Assimilation for Parameter Estimation in Economic Modelling. SITIS (2019)
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
A Scalable Approach to Econometric Inference. PARCO (2019)
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)
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) (2019)
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)
Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379 (2019)
Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS (2019)
Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1 (4) (2018)
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) (2017)
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)
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 (2017)
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)
Rossella Arcucci, Umberto Marotta, Aniello Murano, Loredana Sorrentino
Parallel Parity Games: a Multicore Attractor for the Zielonka Recursive Algorithm. ICCS (2017)
Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo
On the problem-decomposition of scalable 4D-Var Data Assimilation models. HPCS (2015)
Rossella Arcucci, Luisa D'Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli
A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems. PPAM (2) (2015)
Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli
A Scalable Approach for Variational Data Assimilation. J. Sci. Comput. 61 (2) (2014)
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)