Rossella Arcucci

127 papers A* 3Misc 4Journal 85Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model. CoRR Wenbo Yu, Anirbit Ghosh, Tobias Sebastian Finn, Rossella Arcucci, Marc Bocquet, Sibo Cheng
2025	J	`jnl`	AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kun Wang, Gabriele Bertoli, Sibo Cheng, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2025	—	`conf`	Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. ACL (Findings) Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci
2025	J	`jnl`	BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching. CoRR Zhihua Liu, Lei Tong, Xilin He, Che Liu, Rossella Arcucci, Chen Jin, Huiyu Zhou
2025	J	`jnl`	Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. CoRR Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025	—	`conf`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL (Findings) Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci
2025	J	`jnl`	Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale. IEEE Trans. Emerg. Top. Comput. Intell. Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci
2025	J	`jnl`	Does DINOv3 Set a New Medical Vision Standard? CoRR Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Emerging Paradigms in the Energy Sector: Forecasting and System Control Optimisation. CoRR Dariush Pourkeramati, Gareth Wadge, Rachel Hassall, Charlotte Mitchell, Anish Khadka, Shiwang Jaiswal, Andrew Duncan, Rossella Arcucci
2025	J	`jnl`	Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. CoRR Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	J	`jnl`	Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. J. Comput. Sci. Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci
2025	J	`jnl`	Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. Comput. Geosci. Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci
2025	—	`conf`	GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation. ICCVW Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong
2025	J	`jnl`	How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. CoRR Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025	J	`jnl`	IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. IEEE Trans. Medical Imaging Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. CoRR Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	—	`conf`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. EMNLP (Findings) Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. CoRR Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	—	`conf`	Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting. ICCS (Workshops 4) Kun Wang, Gabriele Bertoli, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2025	—	`conf`	MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. ACL (Findings) Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: A review. Inf. Fusion Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: a review. CoRR Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	—	`conf`	SHAP-Prioritised Machine Learning for Diagnostic-Grade Prediction of Lung Function. ICCS (Workshops 4) 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, Rossella Arcucci
2025	J	`jnl`	Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. IEEE Trans. Neural Networks Learn. Syst. Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci
2025	—	`conf`	SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. EMNLP (Findings) Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci
2025	J	`jnl`	SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. CoRR Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci
2025	—	`conf`	T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. ICCVW Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Teaching Ourselves to See: A Direct Method for Denoising CRISM Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. Robert Platt, Zayad AlZayer, Rossella Arcucci, Cédric M. John
2025	J	`jnl`	TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. Comput. Phys. Commun. Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci
2025	J	`jnl`	ViTAE-SL: A vision transformer-based autoencoder and spatial interpolation learner for field reconstruction. Comput. Phys. Commun. Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci
2024	—	`conf`	BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. MICCAI (11) Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong
2024	J	`jnl`	BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. CoRR Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong
2024	J	`jnl`	Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci
2024	J	`jnl`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci
2024	J	`jnl`	DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. CoRR Daniel Seal, Rossella Arcucci, Salva Rühling Cachay, César A. Quilodrán Casas
2024	J	`jnl`	Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. CoRR Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán Casas
2024	J	`jnl`	Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale. CoRR Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci
2024	Misc	`conf`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2024	J	`jnl`	Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
2024	J	`jnl`	Electrocardiogram Instruction Tuning for Report Generation. CoRR Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2024	—	`conf`	Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data. ICCS (5) Andrianirina Rakotoharisoa, Simone Cenci, Rossella Arcucci
2024	J	`jnl`	Explainable Global Wildfire Prediction Models using Graph Neural Networks. CoRR Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci
2024	J	`jnl`	Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environ. Model. Softw. César Quilodrán Casas, Qian Li, Ningbo Zhang, Sibo Cheng, Shiqiang Yan, Qingwei Ma, Rossella Arcucci
2024	J	`jnl`	FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. CoRR Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci
2024	J	`jnl`	Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. CoRR Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci
2024	Misc	`conf`	Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. ICASSP Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci
2024	J	`jnl`	Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci
2024	A*	`conf`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. NeurIPS Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? CoRR Sicheng Wang, Che Liu, Rossella Arcucci
2024	J	`jnl`	Multi-fidelity physics constrained neural networks for dynamical systems. CoRR Hao Zhou, Sibo Cheng, Rossella Arcucci
2024	—	`conf`	Neural Network as Transformation Function in Data Assimilation. ICCS (5) Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2024	J	`jnl`	Noise2Noise Denoising of CRISM Hyperspectral Data. CoRR Robert Platt, Rossella Arcucci, Cédric M. John
2024	J	`jnl`	Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2024	J	`jnl`	TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. CoRR Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci
2024	A*	`conf`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. Sibo Cheng, Yike Guo, Rossella Arcucci
2023	J	`jnl`	A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR Sibo Cheng, Yike Guo, Rossella Arcucci
2023	J	`jnl`	A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. CoRR Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban
2023	—	`conf`	An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. ICCS (4) Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci
2023	J	`jnl`	Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci
2023	J	`jnl`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2023	J	`jnl`	Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
2023	—	`conf`	Frozen Language Model Helps ECG Zero-Shot Learning. MIDL Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	J	`jnl`	Frozen Language Model Helps ECG Zero-Shot Learning. CoRR Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	J	`jnl`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2023	J	`jnl`	Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. CoRR Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong
2023	—	`conf`	Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. ICCS (4) Jake Lever, Sibo Cheng, Rossella Arcucci
2023	J	`jnl`	IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	—	`conf`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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
2023	A*	`conf`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci
2023	J	`jnl`	T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. CoRR Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci
2022	J	`jnl`	Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 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
2022	J	`jnl`	Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci
2022	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2022	J	`jnl`	Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. CoRR Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas
2022	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2022	J	`jnl`	Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci
2022	—	`conf`	Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) Sibo Cheng, César Quilodrán Casas, Rossella Arcucci
2022	J	`jnl`	Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting. J. Comput. Soc. Sci. Jake Lever, Rossella Arcucci
2022	—	`conf`	Social Data Assimilation of Human Sensor Networks for Wildfires. PETRA Jake Lever, Rossella Arcucci, Jaiying Cai
2022	—	`conf`	Towards Social Machine Learning for Natural Disasters. ICCS (3) Jake Lever, Rossella Arcucci
2021	J	`jnl`	A Scalable Inference Method For Large Dynamic Economic Systems. CoRR Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo
2021	J	`jnl`	Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain
2021	J	`jnl`	Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo
2021	J	`jnl`	Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo
2021	J	`jnl`	Correcting public opinion trends through Bayesian data assimilation. CoRR Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy
2021	—	`conf`	Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2021	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2021	J	`jnl`	Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. J. Comput. Sci. Pin Wu, Xuting Chang, Wenyan Yuan, Junwu Sun, Wenjie Zhang, Rossella Arcucci, Yike Guo
2021	—	`conf`	Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. ICCS (5) Jamal Afzali, César Quilodrán Casas, Rossella Arcucci
2021	—	`conf`	Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
2021	J	`jnl`	Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
2021	J	`jnl`	Toward a multilevel scalable parallel Zielonka's algorithm for solving parity games. Concurr. Comput. Pract. Exp. Luisa D'Amore, Aniello Murano, Loredana Sorrentino, Rossella Arcucci, Giuliano Laccetti
2020	J	`jnl`	A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. IEEE Comput. Intell. Mag. Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo
2020	—	`conf`	A Neural SIR Model for Global Forecasting. ML4H@NeurIPS Philip Nadler, Rossella Arcucci, Yike Guo
2020	J	`jnl`	A time-series clustering methodology for knowledge extraction in energy consumption data. Expert Syst. Appl. Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez, Rossella Arcucci, Miguel Molina-Solana
2020	—	`conf`	An Econophysical Analysis of the Blockchain Ecosystem. MARBLE Philip Nadler, Rossella Arcucci, Yike Guo
2020	J	`jnl`	An Epidemiological Modelling Approach for Covid19 via Data Assimilation. CoRR Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo
2020	J	`jnl`	Data Assimilation in the Latent Space of a Neural Network. CoRR Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2020	—	`conf`	Neural Assimilation. ICCS (6) Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo
2020	J	`jnl`	Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo
2019	—	`conf`	A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo
2019	—	`conf`	A Scalable Approach to Econometric Inference. PARCO Philip Nadler, Rossella Arcucci, Yi-Ke Guo
2019	—	`conf`	Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo
2019	—	`conf`	Data Assimilation for Parameter Estimation in Economic Modelling. SITIS Philip Nadler, Rossella Arcucci, Yi-Ke Guo
2019	—	`conf`	Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2019	J	`jnl`	Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo
2019	J	`jnl`	Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
2019	—	`conf`	Scalable Weak Constraint Gaussian Processes. ICCS (4) Rossella Arcucci, Douglas McIlwraith, Yike Guo
2018	J	`jnl`	Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
2017	J	`jnl`	A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism. Int. J. Parallel Program. Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti
2017	—	`conf`	Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems. PPAM (2) Rossella Arcucci, Davide Basciano, Alessandro Cilardo, Luisa D'Amore, Filippo Mantovani
2017	J	`jnl`	On the variational data assimilation problem solving and sensitivity analysis. J. Comput. Phys. Rossella Arcucci, Luisa D'Amore, Jenny Pistoia, Ralf Toumi, Almerico Murli
2017	Misc	`conf`	Parallel Parity Games: a Multicore Attractor for the Zielonka Recursive Algorithm. ICCS Rossella Arcucci, Umberto Marotta, Aniello Murano, Loredana Sorrentino
2017	—	`conf`	Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS. PPAM (2) Luisa D'Amore, Rossella Arcucci, Yi Li, Raffaele Montella, Andrew Moore, Luke Phillipson, Ralf Toumi
2015	—	`conf`	A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems. PPAM (2) Rossella Arcucci, Luisa D'Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli
2015	—	`conf`	On the problem-decomposition of scalable 4D-Var Data Assimilation models. HPCS Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo
2014	J	`jnl`	A Scalable Approach for Variational Data Assimilation. J. Sci. Comput. Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli
2013	Misc	`conf`	DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System. ICCS Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli