Rossella Arcucci

According to our database, Rossella Arcucci authored at least 75 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Real-time updating of dynamic social networks for COVID-19 vaccination strategies.

Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci

J. Ambient Intell. Humaniz. Comput., March, 2024

Efficient deep data assimilation with sparse observations and time-varying sensors.

Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci

J. Comput. Phys., January, 2024

Noise2Noise Denoising of CRISM Hyperspectral Data.

Robert Platt, Rossella Arcucci, Cédric M. John

CoRR, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.

Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong

CoRR, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang

CoRR, 2024

Explainable Global Wildfire Prediction Models using Graph Neural Networks.

Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci

CoRR, 2024

Multi-fidelity physics constrained neural networks for dynamical systems.

Hao Zhou, Sibo Cheng, Rossella Arcucci

CoRR, 2024

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK.

Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán Casas

CoRR, 2024

Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training.

Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci

CoRR, 2024

2023

A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting.

Sibo Cheng, Yike Guo, Rossella Arcucci

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.

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

IEEE CAA J. Autom. Sinica, June, 2023

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models.

Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci

J. Sci. Comput., 2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training.

Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images.

Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

ETP: Learning Transferable ECG Representations via ECG-Text Pre-training.

Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci

CoRR, 2023

A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation.

Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban

CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

CoRR, 2023

Analyzing drop coalescence in microfluidic device with a deep learning generative model.

Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci

CoRR, 2023

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement.

Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frozen Language Model Helps ECG Zero-Shot Learning.

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong

Proceedings of the Medical Imaging with Deep Learning, 2023

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.

Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting.

Jake Lever, Sibo Cheng, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2023, 2023

An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction.

Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting.

Jake Lever, Rossella Arcucci

J. Comput. Soc. Sci., November, 2022

Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling.

Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci

Remote. Sens., 2022

Data Learning: Integrating Data Assimilation and Machine Learning.

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

J. Comput. Sci., 2022

Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting.

Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci

J. Comput. Phys., 2022

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic.

César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain

Neurocomputing, 2022

Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations.

Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas

CoRR, 2022

Social Data Assimilation of Human Sensor Networks for Wildfires.

Jake Lever, Rossella Arcucci, Jaiying Cai

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Towards Social Machine Learning for Natural Disasters.

Jake Lever, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2022, 2022

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems.

Sibo Cheng, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state.

Pin Wu, Xuting Chang, Wenyan Yuan, Junwu Sun, Wenjie Zhang, Rossella Arcucci, Yike Guo

J. Comput. Sci., 2021

A Scalable Inference Method For Large Dynamic Economic Systems.

Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo

CoRR, 2021

Correcting public opinion trends through Bayesian data assimilation.

Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy

CoRR, 2021

Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations.

César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain

CoRR, 2021

Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating.

Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo

CoRR, 2021

Digital twins based on bidirectional LSTM and GAN for modelling COVID-19.

César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain

CoRR, 2021

Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation.

Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo

CoRR, 2021

Adversarially trained LSTMs on reduced order models of urban air pollution simulations.

César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo

CoRR, 2021

Toward a multilevel scalable parallel Zielonka's algorithm for solving parity games.

Luisa D'Amore, Aniello Murano, Loredana Sorrentino, Rossella Arcucci, Giuliano Laccetti

Concurr. Comput. Pract. Exp., 2021

Data Assimilation in the Latent Space of a Convolutional Autoencoder.

Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo

Proceedings of the Computational Science - ICCS 2021, 2021

Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models.

Jamal Afzali, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2021, 2021

Merging Real Images with Physics Simulations via Data Assimilation.

Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

Weak Constraint Gaussian Processes for optimal sensor placement.

Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo

J. Comput. Sci., 2020

A time-series clustering methodology for knowledge extraction in energy consumption data.

Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez, Rossella Arcucci, Miguel Molina-Solana

Expert Syst. Appl., 2020

Data Assimilation in the Latent Space of a Neural Network.

Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo

CoRR, 2020

An Epidemiological Modelling Approach for Covid19 via Data Assimilation.

Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo

CoRR, 2020

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19.

Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo

IEEE Comput. Intell. Mag., 2020

A Neural SIR Model for Global Forecasting.

Philip Nadler, Rossella Arcucci, Yike Guo

Proceedings of the Machine Learning for Health Workshop, 2020

An Econophysical Analysis of the Blockchain Ecosystem.

Philip Nadler, Rossella Arcucci, Yike Guo

Proceedings of the 2nd International Conference on Mathematical Research for Blockchain Economy, 2020

Neural Assimilation.

Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Optimal reduced space for Variational Data Assimilation.

Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo

J. Comput. Phys., 2019

Model error correction in data assimilation by integrating neural networks.

Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo

Big Data Min. Anal., 2019

Data Assimilation for Parameter Estimation in Economic Modelling.

Philip Nadler, Rossella Arcucci, Yi-Ke Guo

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Hybrid Data Assimilation: An Ensemble-Variational Approach.

Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

A Scalable Approach to Econometric Inference.

Philip Nadler, Rossella Arcucci, Yi-Ke Guo

Proceedings of the Parallel Computing: Technology Trends, 2019

A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA).

Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo

Proceedings of the Parallel Computing: Technology Trends, 2019

Scalable Weak Constraint Gaussian Processes.

Rossella Arcucci, Douglas McIlwraith, Yike Guo

Proceedings of the Computational Science - ICCS 2019, 2019

Adaptive Domain Decomposition for Effective Data Assimilation.

Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

Effective variational data assimilation in air-pollution prediction.

Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo

Big Data Min. Anal., 2018

2017

On the variational data assimilation problem solving and sensitivity analysis.

Rossella Arcucci, Luisa D'Amore, Jenny Pistoia, Ralf Toumi, Almerico Murli

J. Comput. Phys., 2017

A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism.

Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti

Int. J. Parallel Program., 2017

Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS.

Luisa D'Amore, Rossella Arcucci, Yi Li, Raffaele Montella, Andrew Moore, Luke Phillipson, Ralf Toumi

Proceedings of the Parallel Processing and Applied Mathematics, 2017

Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems.

Rossella Arcucci, Davide Basciano, Alessandro Cilardo, Luisa D'Amore, Filippo Mantovani

Proceedings of the Parallel Processing and Applied Mathematics, 2017

Parallel Parity Games: a Multicore Attractor for the Zielonka Recursive Algorithm.

Rossella Arcucci, Umberto Marotta, Aniello Murano, Loredana Sorrentino

Proceedings of the International Conference on Computational Science, 2017

2015

A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems.

Rossella Arcucci, Luisa D'Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli

Proceedings of the Parallel Processing and Applied Mathematics, 2015

On the problem-decomposition of scalable 4D-Var Data Assimilation models.

Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo

Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

2014

A Scalable Approach for Variational Data Assimilation.

Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli

J. Sci. Comput., 2014

2013

DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System.

Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli

Proceedings of the International Conference on Computational Science, 2013