Articles with public access mandates - Francesco VaccarinoLearn more
Not available anywhere: 3
Design optimization of renewable energy systems for NZEBs based on deep residual learning
M Ferrara, F Della Santa, M Bilardo, A De Gregorio, A Mastropietro, ...
Renewable Energy 176, 590-605, 2021
Mandates: Government of Italy
Persistent homology: A topological tool for higher-interaction systems
F Vaccarino, U Fugacci, S Scaramuccia
Higher-Order Systems, 97-139, 2022
Mandates: Government of Italy
Sanity Check for Shapley values-based explanations of Deep Neural Networks Predictions
R Tatano, A Mastropietro, E Busto, F Vaccarino
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022
Mandates: Government of Italy
Available somewhere: 17
Homological scaffolds of brain functional networks
G Petri, P Expert, F Turkheimer, R Carhart-Harris, D Nutt, PJ Hellyer, ...
Journal of The Royal Society Interface 11 (101), 20140873, 2014
Mandates: UK Medical Research Council
Insights into brain architectures from the homological scaffolds of functional connectivity networks
LD Lord, P Expert, HM Fernandes, G Petri, TJ Van Hartevelt, F Vaccarino, ...
Frontiers in systems neuroscience 10, 85, 2016
Mandates: Canadian Institutes of Health Research, UK Medical Research Council …
Combinatorial presentation of multidimensional persistent homology
W Chachólski, M Scolamiero, F Vaccarino
Journal of Pure and Applied Algebra 221 (5), 1055-1075, 2017
Mandates: Government of Italy
Homological scaffold via minimal homology bases
M Guerra, A De Gregorio, U Fugacci, G Petri, F Vaccarino
Scientific reports 11 (1), 5355, 2021
Mandates: Government of Italy
Graph-informed neural networks for regressions on graph-structured data
S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino
Mathematics 10 (5), 786, 2022
Mandates: Government of Italy
Machine learning for flux regression in discrete fracture networks
S Berrone, F Della Santa, S Pieraccini, F Vaccarino
GEM-International Journal on Geomathematics 12 (1), 9, 2021
Mandates: Government of Italy
The Nori-Hilbert scheme is not smooth for 2-Calabi Yau algebras
B Raf, F Galluzzi, V Francesco
JOURNAL OF NONCOMMUTATIVE GEOMETRY 10 (2), 745-774, 2016
Mandates: Government of Italy
Layer-wise relevance propagation for backbone identification in discrete fracture networks
S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino
Journal of Computational Science 55, 101458, 2021
Mandates: Government of Italy
Computing invariants for multipersistence via spectral systems and effective homology
A Guidolin, J Divasón, A Romero, F Vaccarino
Journal of Symbolic Computation 104, 724-753, 2021
Mandates: Government of Spain, Government of Italy
A new family of algebras whose representation schemes are smooth
A Ardizzoni, F Galluzzi, F Vaccarino
Annales de l'institut Fourier 66 (3), 1261 - 1277, 2016
Mandates: Government of Italy
Computing multipersistence by means of spectral systems
A Guidolin, J Divasón, A Romero, F Vaccarino
Proceedings of the 2019 on International Symposium on Symbolic and Algebraic …, 2019
Mandates: Government of Spain, Government of Italy
Edge-Wise Graph-Instructed Neural Networks
F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino
Journal of Computational Science 85, 102518, 2025
Mandates: European Commission
Symmetric products, linear representations and trace identities
F Vaccarino
Beiträge zur Algebra und Geometrie/Contributions to Algebra and Geometry 63 …, 2022
Mandates: Government of Italy
Graph-Informed Neural Networks for Regressions on Graph-Structured Data
F Vaccarino
Mandates: Government of Italy
Principled Network Skeletonization via Minimal Homology Bases
M Guerra, A De Gregorio, G Petri, F Vaccarino
Scientific Reports, 2021
Mandates: Government of Italy
Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks
S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino
Machine Learning and the Physical Sciences, 2021
Mandates: Government of Italy
D1. 1 Elementary coarse-grained features of datasets WP1: Topology of Data
G Petri, F Vaccarino, M Rasetti
Mandates: UK Medical Research Council
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