DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System. - Luisa D'Amore; Rossella Arcucci; Luisa Carracciuolo; Almerico Murli (ICCS, 2013)

A Scalable Approach for Variational Data Assimilation. - Luisa D'Amore; Rossella Arcucci; Luisa Carracciuolo; Almerico Murli (J. Sci. Comput., 2014)

On the problem-decomposition of scalable 4D-Var Data Assimilation models. - Rossella Arcucci; Luisa D'Amore; Luisa Carracciuolo (HPCS, 2015)

A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems. - Rossella Arcucci; Luisa D'Amore; Simone Celestino; Giuliano Laccetti; Almerico Murli (PPAM (2), 2015)

Parallel Parity Games: a Multicore Attractor for the Zielonka Recursive Algorithm. - Rossella Arcucci; Umberto Marotta; Aniello Murano; Loredana Sorrentino (ICCS, 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 (PPAM (2), 2017)

Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS. - Luisa D'Amore; Rossella Arcucci; Yi Li 082; Raffaele Montella; Andrew Moore 005; Luke Phillipson; Ralf Toumi (PPAM (2), 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)

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)

Effective variational data assimilation in air-pollution prediction. - Rossella Arcucci; Christopher C. Pain; Yi-Ke Guo (Big Data Min. Anal., 2018)

Adaptive Domain Decomposition for Effective Data Assimilation. - Rossella Arcucci; Laetitia Mottet; César A. Quilodrán Casas; Florian Guitton; Christopher C. Pain; Yi-Ke Guo (Euro-Par Workshops, 2019)

Scalable Weak Constraint Gaussian Processes. - Rossella Arcucci; Douglas McIlwraith; Yike Guo (ICCS (4), 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 (PARCO, 2019)

A Scalable Approach to Econometric Inference. - Philip Nadler; Rossella Arcucci; Yi-Ke Guo (PARCO, 2019)

Hybrid Data Assimilation: An Ensemble-Variational Approach. - Edward M. Lim; Miguel Molina-Solana; Christopher C. Pain; Yi-Ke Guo; Rossella Arcucci (SITIS, 2019)

Data Assimilation for Parameter Estimation in Economic Modelling. - Philip Nadler; Rossella Arcucci; Yi-Ke Guo (SITIS, 2019)

Model error correction in data assimilation by integrating neural networks. - Jiangcheng Zhu; Shuang Hu; Rossella Arcucci; Chao Xu 001; Jihong Zhu 001; Yike Guo (Big Data Min. Anal., 2019)

Optimal reduced space for Variational Data Assimilation. - Rossella Arcucci; Laetitia Mottet; Christopher C. Pain; Yi-Ke Guo (J. Comput. Phys., 2019)

Neural Assimilation. - Rossella Arcucci; Lamya Moutiq; Yi-Ke Guo (ICCS (6), 2020)

An Econophysical Analysis of the Blockchain Ecosystem. - Philip Nadler; Rossella Arcucci; Yike Guo (MARBLE, 2020)

A Neural SIR Model for Global Forecasting. - Philip Nadler; Rossella Arcucci; Yike Guo (ML4H@NeurIPS, 2020)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. - Shuo Wang 011; Xian Yang 001; Ling Li 010; Philip Nadler; Rossella Arcucci; Yuan Huang 009; Zhongzhao Teng; Yike Guo (IEEE Comput. Intell. Mag., 2020)

An Epidemiological Modelling Approach for Covid19 via Data Assimilation. - Philip Nadler; Shuo Wang 011; Rossella Arcucci; Xian Yang 001; Yike Guo (CoRR, 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)

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)

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)

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 (Euro-Par Workshops, 2021)

Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. - Jamal Afzali; César Quilodrán Casas; Rossella Arcucci (ICCS (5), 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 (ICCS (5), 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)

Adversarially trained LSTMs on reduced order models of urban air pollution simulations. - César Quilodrán Casas; Rossella Arcucci; Christopher C. Pain; Yike Guo (CoRR, 2021)

Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. - Julian Mack; Rossella Arcucci; Miguel Molina-Solana; 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)

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)

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)

Correcting public opinion trends through Bayesian data assimilation. - Robin Hendrickx; Rossella Arcucci; Julio Amador Díaz López; Yi-Ke Guo; Mark Kennedy (CoRR, 2021)

A Scalable Inference Method For Large Dynamic Economic Systems. - Pratha Khandelwal; Philip Nadler; Rossella Arcucci; William J. Knottenbelt; Yi-Ke Guo (CoRR, 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 005; Rossella Arcucci; Yike Guo (J. Comput. Sci., 2021)

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. - Sibo Cheng; César Quilodrán Casas; Rossella Arcucci (ICCS (4), 2022)

Towards Social Machine Learning for Natural Disasters. - Jake Lever; Rossella Arcucci (ICCS (3), 2022)

Social Data Assimilation of Human Sensor Networks for Wildfires. - Jake Lever; Rossella Arcucci; Jaiying Cai (PETRA, 2022)

Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. - Pierre Browne; Aranildo Lima; Rossella Arcucci; César Quilodrán Casas (CoRR, 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)

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)

Data Learning: Integrating Data Assimilation and Machine Learning. - Caterina Buizza; César Quilodrán Casas; Philip Nadler; Julian Mack; Stefano Marrone 002; Zainab Titus; Clémence Le Cornec; Evelyn Heylen; Tolga Hasan Dur; Luis G. Baca Ruíz; Claire E. Heaney; Julio Amador Díaz López; et al. (J. Comput. Sci., 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)

Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting. - Jake Lever; Rossella Arcucci (J. Comput. Soc. Sci., 2022)

An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. - Hongwei Fan; Sibo Cheng; Audrey J. de Nazelle; Rossella Arcucci (ICCS (4), 2023)

Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. - Jake Lever; Sibo Cheng; Rossella Arcucci (ICCS (4), 2023)

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. - Che Liu; Sibo Cheng; Chen Chen 042; Mengyun Qiao; Weitong Zhang; Anand Shah; Wenjia Bai; Rossella Arcucci (MICCAI (1), 2023)

Frozen Language Model Helps ECG Zero-Shot Learning. - Jun Li; Che Liu; Sibo Cheng; Rossella Arcucci; Shenda Hong (MIDL, 2023)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 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)

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. - Yinda Chen; Che Liu; Wei Huang 036; Sibo Cheng; Rossella Arcucci; Zhiwei Xiong (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)

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)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 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)

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; et al. (IEEE CAA J. Autom. Sinica, 2023)

A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. - Sibo Cheng; Yike Guo; Rossella Arcucci (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. - Che Liu; Zhongwei Wan; Sibo Cheng; Mi Zhang 002; Rossella Arcucci (ICASSP, 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 (ICASSP, 2024)

Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data. - Andrianirina Rakotoharisoa; Simone Cenci; Rossella Arcucci (ICCS (5), 2024)

Neural Network as Transformation Function in Data Assimilation. - Kun Wang; Matthew D. Piggott; Yanghua Wang; Rossella Arcucci (ICCS (5), 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 (ICML, 2024)

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. - Yinda Chen; Che Liu; Xiaoyu Liu; Rossella Arcucci; Zhiwei Xiong (MICCAI (11), 2024)

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 (NeurIPS, 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)

Multi-fidelity physics constrained neural networks for dynamical systems. - Hao Zhou 020; Sibo Cheng; Rossella Arcucci (CoRR, 2024)

Explainable Global Wildfire Prediction Models using Graph Neural Networks. - Dayou Chen; Sibo Cheng; Jinwei Hu; Matthew Kasoar; Rossella Arcucci (CoRR, 2024)

Electrocardiogram Instruction Tuning for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Zhenwu Peng; Jie Fu 001; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (CoRR, 2024)

Noise2Noise Denoising of CRISM Hyperspectral Data. - Robert Platt 002; Rossella Arcucci; Cédric M. John (CoRR, 2024)

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (CoRR, 2024)

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? - Sicheng Wang; Che Liu; Rossella Arcucci (CoRR, 2024)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. - Peiran Wu; Che Liu; Canyu Chen; Jun Li; Cosmin I. Bercea; Rossella Arcucci (CoRR, 2024)

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. - Daniel Seal; Rossella Arcucci; Salva Rühling Cachay; César A. Quilodrán Casas (CoRR, 2024)

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. - César Quilodrán Casas; Qian Li; Ningbo Zhang; Sibo Cheng; Shiqiang Yan; Qingwei Ma; Rossella Arcucci (Environ. Model. Softw., 2024)

Efficient deep data assimilation with sparse observations and time-varying sensors. - Sibo Cheng; Che Liu; Yike Guo; Rossella Arcucci (J. Comput. Phys., 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., 2024)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? - Che Liu; Zhongwei Wan; Haozhe Wang 002; Yinda Chen; Talha Qaiser; Chen Jin; Nikolay Burlutskiy; Fariba Yousefi; Rossella Arcucci (ACL (Findings), 2025)

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (ACL (Findings), 2025)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Jing Xiong; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (ACL (Findings), 2025)

SHAP-Prioritised Machine Learning for Diagnostic-Grade Prediction of Lung Function. - Oliver Pitts; Salman Siddiqui; Anand Shah; Alex Bell; Christopher Brightling; David Singh; Janwillem Kocks; Leonardo Fabbri; Alberto Papi; Klaus Rabe; Maarten Van Den Berge; Monica Kraft; et al. (ICCS (Workshops 4), 2025)

Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting. - Kun Wang; Gabriele Bertoli; Kai Schröter; Enrica Caporali; Matthew D. Piggott; Yanghua Wang; Rossella Arcucci (ICCS (Workshops 4), 2025)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. - Sibo Cheng; Jinyang Min; Che Liu; Rossella Arcucci (Comput. Phys. Commun., 2025)

ViTAE-SL: A vision transformer-based autoencoder and spatial interpolation learner for field reconstruction. - Hongwei Fan; Sibo Cheng; Audrey J. de Nazelle; Rossella Arcucci (Comput. Phys. Commun., 2025)

Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. - Bo Pang 007; Sibo Cheng; Yuhan Huang; Yufang Jin; Yike Guo; Iain Colin Prentice; Sandy P. Harrison; Rossella Arcucci (Comput. Geosci., 2025)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. - Jake Lever; Sibo Cheng; César Quilodrán Casas; Che Liu; Hongwei Fan; Robert Platt 002; Andrianirina Rakotoharisoa; Eleda Johnson; Siyi Li; Zhendan Shang; Rossella Arcucci (J. Comput. Sci., 2025)

Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data. - Robert Platt 002; Zayad AlZayer; Rossella Arcucci; Cédric M. John (IEEE Trans. Geosci. Remote. Sens., 2025)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. - Che Liu; Sibo Cheng; Miaojing Shi; Anand Shah; Wenjia Bai; Rossella Arcucci (IEEE Trans. Medical Imaging, 2025)

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. - Che Liu; Sibo Cheng; Weiping Ding 001; Rossella Arcucci (IEEE Trans. Neural Networks Learn. Syst., 2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. - Che Liu; Cheng Ouyang; Zhongwei Wan; Haozhe Wang 002; Wenjia Bai; Rossella Arcucci (CoRR, 2025)

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. - Mingsheng Cai; Jiuming Jiang; Wenhao Huang; Che Liu; Rossella Arcucci (CoRR, 2025)

Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale. - Sibo Cheng; Hector Chassagnon; Matthew Kasoar; Yike Guo; Rossella Arcucci (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. - Jun Li; Che Liu; Wenjia Bai; Rossella Arcucci; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. - Che Liu; Haozhe Wang 002; Jiazhen Pan; Zhongwei Wan; Yong Dai 001; Fangzhen Lin; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching. - Zhihua Liu; Lei Tong; Xilin He; Che Liu; Rossella Arcucci; Chen Jin; Huiyu Zhou 001 (CoRR, 2025)

A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model. - Wenbo Yu; Anirbit Ghosh; Tobias Sebastian Finn; Rossella Arcucci; Marc Bocquet; Sibo Cheng (CoRR, 2025)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. - Che Liu; Jiazhen Pan; Weixiang Shen; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation. - Dariush Pourkeramati; Gareth Wadge; Rachel Hassall; Charlotte Mitchell; Anish Khadka; Shiwang Jaiswal; Andrew Duncan; Rossella Arcucci (CoRR, 2025)

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. - Jun Li; Che Liu; Wenjia Bai; Mingxuan Liu; Rossella Arcucci; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2025)