Gianmarco Mengaldo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Supervised Classifiers

Difference Equations

Systematic Evaluation

Top Venues

J. Comput. Phys.

Comput. Phys. Commun.

Nat. Mac. Intell.

Publications

Gianmarco Mengaldo
Explain the Black Box for the Sake of Science: Revisiting the Scientific Method in the Era of Generative Artificial Intelligence. CoRR (2024)
Jiawen Wei, Hugues Turbé, Gianmarco Mengaldo
Revisiting the robustness of post-hoc interpretability methods. CoRR (2024)
Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR (2024)
Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. 16 (4) (2024)
Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo, Christian Lovis
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications. CoRR (2024)
Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. Comput. Phys. Commun. 302 (2024)
Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR (2023)
Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
A Comprehensive Review on Financial Explainable AI. CoRR (2023)
Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo
Evaluation of post-hoc interpretability methods in time-series classification. Nat. Mac. Intell. 5 (3) (2023)
Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. CoRR (2023)
Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. ICDM (Workshops) (2023)
Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification. CoRR (2022)
Niccolò Tonicello, Andrea Lario, Gianluigi Rozza, Gianmarco Mengaldo
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. CoRR (2022)
Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR (2022)
Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza, Gianmarco Mengaldo
Neural-network learning of SPOD latent dynamics. J. Comput. Phys. 468 (2022)
Rodrigo Costa Moura, Lucas Dantas Fernandes, A. F. C. Silva, Gianmarco Mengaldo, Spencer J. Sherwin
Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES. J. Comput. Phys. 471 (2022)
Gianmarco Mengaldo, Romit Maulik
PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD). J. Open Source Softw. 6 (60) (2021)
Niccolò Tonicello, Rodrigo Costa Moura, Guido Lodato, Gianmarco Mengaldo
Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows. CoRR (2021)
Romit Maulik, Gianmarco Mengaldo
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. DRBSD@SC (2021)
Andrea Lario, Romit Maulik, Gianluigi Rozza, Gianmarco Mengaldo
Neural-network learning of SPOD latent dynamics. CoRR (2021)
Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin
Element Methods. SIAM Rev. 63 (4) (2021)
Romit Maulik, Gianmarco Mengaldo
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. CoRR (2021)
David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin
++: Enhancing the capability and application of high-fidelity spectral/hp element methods. Comput. Phys. Commun. 249 (2020)
Benedikt Dorschner, Ke Yu, Gianmarco Mengaldo, Tim Colonius
A fast multi-resolution lattice Green's function method for elliptic difference equations. J. Comput. Phys. 407 (2020)
Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods. CoRR (2020)
David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. CoRR (2019)
Gianmarco Mengaldo
Batch 1: Definition of several Weather & Climate Dwarfs. CoRR (2019)
Gianmarco Mengaldo, Daniele De Grazia, Rodrigo Costa Moura, Spencer J. Sherwin
Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness. J. Comput. Phys. 358 (2018)
Andrew R. Winters, Rodrigo Costa Moura, Gianmarco Mengaldo, Gregor J. Gassner, Stefanie Walch, Joaquim Peiró, Spencer J. Sherwin
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations. J. Comput. Phys. 372 (2018)
Willem Deconinck, Peter Bauer, Michail Diamantakis, Mats Hamrud, Christian Kühnlein, Pedro Maciel, Gianmarco Mengaldo, Tiago Quintino, Baudouin Raoult, Piotr K. Smolarkiewicz, Nils P. Wedi
Atlas : A library for numerical weather prediction and climate modelling. Comput. Phys. Commun. 220 (2017)
Rodrigo Costa Moura, Gianmarco Mengaldo, Joaquim Peiró, Spencer J. Sherwin
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence. J. Comput. Phys. 330 (2017)
Gianmarco Mengaldo, Daniele De Grazia, Peter E. Vincent, Spencer J. Sherwin
On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes. J. Sci. Comput. 67 (3) (2016)
Gianmarco Mengaldo, Daniele De Grazia, David Moxey, Peter E. Vincent, Spencer J. Sherwin
Dealiasing techniques for high-order spectral element methods on regular and irregular grids. J. Comput. Phys. 299 (2015)
Chris D. Cantwell, David Moxey, A. Comerford, A. Bolis, G. Rocco, Gianmarco Mengaldo, Daniele De Grazia, Sergey Yakovlev, J.-E. Lombard, D. Ekelschot, B. Jordi, Hui Xu, Yumnah Mohamied, Claes Eskilsson, B. Nelson, Peter E. J. Vos, C. Biotto, Robert Michael Kirby, Spencer J. Sherwin
Nektar++: An open-source spectral/hp element framework. Comput. Phys. Commun. 192 (2015)