Gianmarco Mengaldo

Orcid: 0000-0002-0157-5477

Affiliations:
  • Department of Aeronautics, Imperial College London, UK


According to our database1, Gianmarco Mengaldo authored at least 32 papers between 2015 and 2025.

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Bibliography

2025
Explainable natural language processing for corporate sustainability analysis.
Inf. Fusion, 2025

2024
Neurosymbolic AI for Mining Public Opinions about Wildfires.
Cogn. Comput., July, 2024

Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package.
Comput. Phys. Commun., 2024

Revisiting the robustness of post-hoc interpretability methods.
CoRR, 2024

Explain the Black Box for the Sake of Science: Revisiting the Scientific Method in the Era of Generative Artificial Intelligence.
CoRR, 2024

ProtoS-ViT: Visual foundation models for sparse self-explainable classifications.
CoRR, 2024

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Evaluation of post-hoc interpretability methods in time-series classification.
Nat. Mac. Intell., March, 2023

A Comprehensive Review on Financial Explainable AI.
CoRR, 2023

FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES.
J. Comput. Phys., 2022

Neural-network learning of SPOD latent dynamics.
J. Comput. Phys., 2022

Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics.
CoRR, 2022

InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification.
CoRR, 2022

Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives.
CoRR, 2022

2021
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/<i>hp</i> Element Methods.
SIAM Rev., 2021

PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD).
J. Open Source Softw., 2021

Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows.
CoRR, 2021

Neural-network learning of SPOD latent dynamics.
CoRR, 2021

PyParSVD: A streaming, distributed and randomized singular-value-decomposition library.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

2020
A fast multi-resolution lattice Green's function method for elliptic difference equations.
J. Comput. Phys., 2020

<i>Nektar</i>++: Enhancing the capability and application of high-fidelity spectral/hp element methods.
Comput. Phys. Commun., 2020

Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods.
CoRR, 2020

2019
Batch 1: Definition of several Weather & Climate Dwarfs.
CoRR, 2019

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods.
CoRR, 2019

2018
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations.
J. Comput. Phys., 2018

Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness.
J. Comput. Phys., 2018

2017
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence.
J. Comput. Phys., 2017

Atlas : A library for numerical weather prediction and climate modelling.
Comput. Phys. Commun., 2017

2016
On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes.
J. Sci. Comput., 2016

2015
Dealiasing techniques for high-order spectral element methods on regular and irregular grids.
J. Comput. Phys., 2015

Nektar++: An open-source spectral/hp element framework.
Comput. Phys. Commun., 2015


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