Rossella Arcucci

发表

Data Learning: Integrating Data Assimilation and Machine Learning

Julio Amador Díaz López, S. Marrone, R. Arcucci, 2021, J. Comput. Sci..

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

Jake Lever, R. Arcucci, Rossella Arcucci, 2022, Journal of Computational Social Science.

Rossella Arcucci, Yi-Ke Guo, Lamya Moutiq, 2020, ICCS.

An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments.

Michał M Kłosowski, Christopher C. Pain, Prashant Kumar, 2020, The Science of the total environment.

2022 ECMWF-ESA workshop report: current status, progress and opportunities in machine learning for Earth System observation and prediction

A. Geer, M. Bonavita, C. Vitolo, 2023, npj Climate and Atmospheric Science.

Machine Learning for Earth System Observation and Prediction

Massimo Bonavita, Rossella Arcucci, Bertrand Le Saux, 2021, Bulletin of the American Meteorological Society.

Urban air pollution forecasts generated from latent space representation

Yike Guo, Rossella Arcucci, Cesar Quilodran Casas, 2020, ICLR 2020.

Data-driven reduced order model with temporal convolutional neural network

Wenjie Zhang, Yike Guo, Christopher C. Pain, 2020 .

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

A. Carrassi, M. Bocquet, Ronan Fablet, 2023, IEEE/CAA Journal of Automatica Sinica.

Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device.

O. Matar, Yi-Ke Guo, Sibo Cheng, 2022, Lab on a chip.

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

Yufang Jin, I. Prentice, S. Harrison, 2022, Remote. Sens..

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

Sibo Cheng, Che Liu, Rossella Arcucci, 2023, ArXiv.

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

Chen Chen, Wenjia Bai, Weitong Zhang, 2023, MICCAI.

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

Zhiwei Xiong, R. Arcucci, Che Liu, 2023, ArXiv.

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

Lei Ma, Mi Zhang, Benyou Wang, 2023, NeurIPS.

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

Che Liu, Rossella Arcucci, Anand Shah, 2023, ArXiv.

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

Chen Chen, Wenjia Bai, Weitong Zhang, 2023, MICCAI.

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

C. Pain, R. Arcucci, Yi-Ke Guo, 2021, medRxiv.

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

Rossella Arcucci, Sibo Cheng, Christopher C. Pain, 2021, Journal of ambient intelligence and humanized computing.

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

Rossella Arcucci, Miguel Molina-Solana, Julian Mack, 2020, Computer Methods in Applied Mechanics and Engineering.

A data-driven adversarial machine learning for 3D surrogates of unstructured computational fluid dynamic simulations

R. Arcucci, César Quilodrán-Casas, Rossella Arcucci, 2023, Physica A: Statistical Mechanics and its Applications.

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

C. Pain, L. Mottet, R. Arcucci, 2021, ArXiv.

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

Christopher C. Pain, Rossella Arcucci, Yike Guo, 2021, ArXiv.

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

C. Pain, O. Matar, P. Angeli, 2022, Journal of Scientific Computing.

On the variational data assimilation problem solving and sensitivity analysis

Almerico Murli, Rossella Arcucci, Luisa D'Amore, 2017, J. Comput. Phys..

A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting

Sibo Cheng, Yike Guo, Rossella Arcucci, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Reduced-order digital twin and latent data assimilation for global wildfire prediction

R. Arcucci, M. Kasoar, Sibo Cheng, 2023, Natural Hazards and Earth System Sciences.

An Efficient Digital Twin Based on Machine Learning Svd Autoencoder and Generalised Latent Assimilation for Nuclear Reactor Physics

R. Arcucci, Dunhui Xiao, Helin Gong, 2022, SSRN Electronic Journal.

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

Yufang Jin, I. Prentice, Yi-Ke Guo, 2022, J. Comput. Phys..

Numerical Methods for Data Assimilation: Kalman Filter

A. Murli, L. D’Amore, Rossella Arcucci, 2012 .

CntrlDA: A building energy management control system with real-time adjustments. Application to indoor temperature

R. Arcucci, Miguel Molina-Solana, Alex Dmitrewski, 2022, Building and Environment.

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

Mi Zhang, Che Liu, Sibo Cheng, 2023, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Frozen Language Model Helps ECG Zero-Shot Learning

Jun Yu Li, R. Arcucci, Che Liu, 2023, MIDL.

Explainable Global Wildfire Prediction Models using Graph Neural Networks

M. Kasoar, Sibo Cheng, Rossella Arcucci, 2024, ArXiv.

Liquid–Liquid Dispersion Performance Prediction and Uncertainty Quantification Using Recurrent Neural Networks

D. Juric, Seungwon Shin, J. Chergui, 2024, Industrial & engineering chemistry research.

Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes

Ionel M. Navon, Chenfeng Li, R. Arcucci, 2023, Computer Methods in Applied Mechanics and Engineering.

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems

Sibo Cheng, C. Q. Casas, Rossella Arcucci, 2022, ICCS.

Variational Gaussian Process for Optimal Sensor Placement

C. Pain, Yi-Ke Guo, Carolanne V. M. Vouriot, 2021, Applications of Mathematics.

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

C. Q. Casas, Che Liu, Rossella Arcucci, 2023, ArXiv.

Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale

Sibo Cheng, Rossella Arcucci, Hector Chassagnon, 2024, IEEE Transactions on Emerging Topics in Computational Intelligence.