Archivio Istituzionale della RicercaVACCARINO, FRANCESCO
VACCARINO, FRANCESCO
Dipartimento di Scienze Matematiche
011485
A unified framework for simplicial Kuramoto models
2024 Nurisso, Marco; Arnaudon, Alexis; Lucas, Maxime; Peach, Robert L.; Expert, Paul; Vaccarino, Francesco; Petri, Giovanni
Machine Learning for Seismic Exploration: where are we and how far are we from the Holy Grail?
2024 Khosro Anjom, Farbod; Vaccarino, Francesco; Socco, Laura Valentina
Scale-Free Image Keypoints Using Differentiable Persistent Homology
2024 Barbarani, Giovanni; Vaccarino, Francesco; Trivigno, Gabriele; Guerra, Marco; Berton, Gabriele; Masone, Carlo
Topological obstruction to the training of shallow ReLU neural networks
2024 Nurisso, Marco; Leroy, Pierrick; Vaccarino, Francesco
Detecting industrial vehicles’ duty levels using contrastive learning
2023 Cagliero, Luca; Buccafusco, Silvia; Vaccarino, Francesco; Salvatori, Lucia; Loti, Riccardo
Learning industrial vehicles’ duty patterns: A real case
2023 Buccafusco, Silvia; Cagliero, Luca; Megaro, Andrea; Vaccarino, Francesco; Loti, Riccardo; Salvatori, Lucia
Graph-Informed Neural Networks for Regressions on Graph-Structured Data
2022 Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco
Persistent Homology: A Topological Tool for Higher-Interaction Systems
2022 Vaccarino, Francesco; Fugacci, Ulderico; Scaramuccia, Sara
Symmetric products, linear representations and trace identities
2022 Vaccarino, Francesco
Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case
2021 Ciampaglia, Alberto; Belingardi, Giovanni; Mastropietro, Antonio; De Gregorio, Alessandro; Vaccarino, Francesco
Computing invariants for multipersistence via spectral systems and effective homology
2021 Guidolin, Andrea; Divasón, Jose; Romero, Ana; Vaccarino, Francesco
Design optimization of renewable energy systems for NZEBs based on deep residual learning
2021 Ferrara, Maria; Della Santa, Francesco; Bilardo, Matteo; De Gregorio, Alessandro; Mastropietro, Antonio; Fugacci, Ulderico; Vaccarino, Francesco; Fabrizio, Enrico
Homological scaffold via minimal homology bases
2021 Guerra, Marco; De Gregorio, Alessandro; Fugacci, Ulderico; Petri, Giovanni; Vaccarino, Francesco
Layer-wise relevance propagation for backbone identification in discrete fracture networks
2021 Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco
Machine learning for flux regression in discrete fracture networks
2021 Berrone, S.; DELLA SANTA, Francesco; Pieraccini, S.; Vaccarino, F.
Parallel decomposition of persistence modules through interval bases
2021 DE GREGORIO, Alessandro; Guerra, Marco; Scaramuccia, Sara; Vaccarino, Francesco
Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks
2021 Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco
Profiling industrial vehicle duties using CAN bus signal segmentation and clustering
2021 Buccafusco, Silvia; Megaro, Andrea; Cagliero, Luca; Vaccarino, Francesco; Salvatori, Lucia; Loti, Riccardo
The physics of higher-order interactions in complex systems
2021 Battiston, Federico; Amico, Enrico; Barrat, Alain; Bianconi, Ginestra; Ferraz de Arruda, Guilherme; Franceschiello, Benedetta; Iacopini, Iacopo; Kéfi, Sonia; Latora, Vito; Moreno, Yamir; Murray, Micah M.; Peixoto, Tiago P.; Vaccarino, Francesco; Petri, Giovanni
Application of Deep Learning to Design Renewable Energy Systems fo a Zero Energy Multifamily Building
2020 Della Santa, Francesco; Ferrara, Maria; Bilardo, Matteo; De Gregorio, Alessandro; Mastropietro, Antonio; Fugacci, Ulderico; Vaccarino, Francesco; Fabrizio, Enrico
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A unified framework for simplicial Kuramoto models / Nurisso, Marco; Arnaudon, Alexis; Lucas, Maxime; Peach, Robert L.; Expert, Paul; Vaccarino, Francesco; Petri, Giovanni. - In: CHAOS. - ISSN 1054-1500. - 34:5(2024), pp. 1-32. [10.1063/5.0169388] | 1-gen-2024 | Nurisso, MarcoVaccarino, Francesco + | 053118_1_5.0169388.pdf |
| Machine Learning for Seismic Exploration: where are we and how far are we from the Holy Grail? / Khosro Anjom, Farbod; Vaccarino, Francesco; Socco, Laura Valentina. - In: GEOPHYSICS. - ISSN 0016-8033. - 89:(2024), pp. 1-111. [10.1190/geo2023-0129.1] | 1-gen-2024 | Khosro Anjom, FarbodVaccarino, FrancescoSocco, Laura Valentina | geo2023-0129.1.pdf; khosro-anjom-et-al-2023-machine-learning-for-seismic-exploration-where-are-we-and-how-far-are-we-from-the-holy-grail_compressed.pdf |
| Scale-Free Image Keypoints Using Differentiable Persistent Homology / Barbarani, Giovanni; Vaccarino, Francesco; Trivigno, Gabriele; Guerra, Marco; Berton, Gabriele; Masone, Carlo. - ELETTRONICO. - 235:(2024), pp. 2990-3002. (Intervento presentato al convegno 41st International Conference on Machine Learning tenutosi a Vienna (AUT) nel 21-27 July 2024). | 1-gen-2024 | Giovanni BarbaraniFrancesco VaccarinoGabriele TrivignoMarco GuerraGabriele BertonCarlo Masone | topology_keypoints.pdf; barbarani24a.pdf |
| Topological obstruction to the training of shallow ReLU neural networks / Nurisso, Marco; Leroy, Pierrick; Vaccarino, Francesco. - ELETTRONICO. - (2024), pp. 1-23. (Intervento presentato al convegno NeurIPS 2024: Thirty-Eighth Annual Conference on Neural Information Processing Systems tenutosi a Vancouver (CA) nel Tuesday Dec 10 through Sunday Dec 15). | 1-gen-2024 | Marco NurissoPierrick LeroyFRANCESCO Vaccarino | 2410.14837v2.pdf |
| Detecting industrial vehicles’ duty levels using contrastive learning / Cagliero, Luca; Buccafusco, Silvia; Vaccarino, Francesco; Salvatori, Lucia; Loti, Riccardo. - STAMPA. - (2023), pp. 1630-1636. (Intervento presentato al convegno 2023 IEEE International Conference on Big Data (IEEE Big Data 2023) tenutosi a Sorrento (Italy) nel December 15-18, 2023) [10.1109/BigData59044.2023.10386964]. | 1-gen-2023 | Luca CaglieroSilvia BuccafuscoFrancesco VaccarinoLucia Salvatori + | IEEE_Big_Data_2023_Contrastive_MICENE (1).pdf; Detecting_industrial_vehicles_duty_levels_using_contrastive_learning.pdf |
| Learning industrial vehicles’ duty patterns: A real case / Buccafusco, Silvia; Cagliero, Luca; Megaro, Andrea; Vaccarino, Francesco; Loti, Riccardo; Salvatori, Lucia. - In: COMPUTERS IN INDUSTRY. - ISSN 0166-3615. - ELETTRONICO. - 145:103826(2023), pp. 1-15. [10.1016/j.compind.2022.103826] | 1-gen-2023 | Buccafusco, SilviaCagliero, LucaMegaro, AndreaVaccarino, FrancescoSalvatori, Lucia + | Learning industrial vehicles’ duty patterns_ A real case.pdf |
| Graph-Informed Neural Networks for Regressions on Graph-Structured Data / Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco. - In: MATHEMATICS. - ISSN 2227-7390. - ELETTRONICO. - 10:5(2022). [10.3390/math10050786] | 1-gen-2022 | Berrone, StefanoDella Santa, FrancescoMastropietro, AntonioPieraccini, SandraVaccarino, Francesco | mathematics-10-00786.pdf |
| Persistent Homology: A Topological Tool for Higher-Interaction Systems / Vaccarino, Francesco; Fugacci, Ulderico; Scaramuccia, Sara (UNDERSTANDING COMPLEX SYSTEMS). - In: Higher-Order Systems / Battiston F., Petri G.. - ELETTRONICO. - [s.l] : Springer, 2022. - ISBN 978-3-030-91373-1. - pp. 97-139 [10.1007/978-3-030-91374-8_3] | 1-gen-2022 | Vaccarino, FrancescoFugacci, UldericoScaramuccia, Sara | - |
| Symmetric products, linear representations and trace identities / Vaccarino, Francesco. - In: BEITRAGE ZUR ALGEBRA UND GEOMETRIE. - ISSN 0138-4821. - ELETTRONICO. - 63:2(2022), pp. 335-347. [10.1007/s13366-021-00577-0] | 1-gen-2022 | Francesco Vaccarino | s13366-021-00577-0.pdf |
| Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case / Ciampaglia, Alberto; Belingardi, Giovanni; Mastropietro, Antonio; De Gregorio, Alessandro; Vaccarino, Francesco. - In: SAE TECHNICAL PAPER. - ISSN 0148-7191. - ELETTRONICO. - (2021). [10.4271/2021-01-0366] | 1-gen-2021 | Ciampaglia, AlbertoBelingardi, GiovanniMastropietro, AntonioDe Gregorio, AlessandroVaccarino, Francesco | Artificial Intelligence for damage detection in automotive composite parts.pdf; 2021-01-0366.pdf |
| Computing invariants for multipersistence via spectral systems and effective homology / Guidolin, Andrea; Divasón, Jose; Romero, Ana; Vaccarino, Francesco. - In: JOURNAL OF SYMBOLIC COMPUTATION. - ISSN 0747-7171. - ELETTRONICO. - 104:(2021), pp. 724-753. [10.1016/j.jsc.2020.09.007] | 1-gen-2021 | Guidolin, AndreaVaccarino, Francesco + | 1-s2.0-S0747717120301097-main.pdf |
| Design optimization of renewable energy systems for NZEBs based on deep residual learning / Ferrara, Maria; Della Santa, Francesco; Bilardo, Matteo; De Gregorio, Alessandro; Mastropietro, Antonio; Fugacci, Ulderico; Vaccarino, Francesco; Fabrizio, Enrico. - In: RENEWABLE ENERGY. - ISSN 0960-1481. - STAMPA. - 176:(2021), pp. 590-605. [10.1016/j.renene.2021.05.044] | 1-gen-2021 | Ferrara, MariaDella Santa, FrancescoBilardo, MatteoDe Gregorio, AlessandroMastropietro, AntonioFugacci, UldericoVaccarino FrancescoFabrizio, Enrico | RENE2021.pdf |
| Homological scaffold via minimal homology bases / Guerra, Marco; De Gregorio, Alessandro; Fugacci, Ulderico; Petri, Giovanni; Vaccarino, Francesco. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 11:1(2021), p. 5355. [10.1038/s41598-021-84486-1] | 1-gen-2021 | Guerra, MarcoDe Gregorio, AlessandroVaccarino, Francesco + | s41598-021-84486-1.pdf; Homological Scaffold via Minimal Homology Bases.pdf |
| Layer-wise relevance propagation for backbone identification in discrete fracture networks / Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco. - In: JOURNAL OF COMPUTATIONAL SCIENCE. - ISSN 1877-7503. - ELETTRONICO. - 55:(2021), p. 101458. [10.1016/j.jocs.2021.101458] | 1-gen-2021 | Berrone, StefanoDella Santa, FrancescoMastropietro, AntonioPieraccini, SandraVaccarino, Francesco | 1-s2.0-S1877750321001356-main.pdf |
| Machine learning for flux regression in discrete fracture networks / Berrone, S.; DELLA SANTA, Francesco; Pieraccini, S.; Vaccarino, F.. - In: GEM. - ISSN 1869-2672. - ELETTRONICO. - 12:9(2021). [10.1007/s13137-021-00176-0] | 1-gen-2021 | Berrone S.DELLA SANTA, FRANCESCOPieraccini S.Vaccarino F. | Berrone2021_Article_MachineLearningForFluxRegressi.pdf |
| Parallel decomposition of persistence modules through interval bases / DE GREGORIO, Alessandro; Guerra, Marco; Scaramuccia, Sara; Vaccarino, Francesco. - ELETTRONICO. - (2021). | 1-gen-2021 | Alessandro De GregorioMarco GuerraSara ScaramucciaFrancesco Vaccarino | 2106.11884 (1).pdf |
| Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks / Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco. - ELETTRONICO. - Machine Learning and the Physical Sciences:(2021). (Intervento presentato al convegno Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) nel December 13, 2021). | 1-gen-2021 | Berrone, StefanoDella Santa, FrancescoMastropietro, AntonioPieraccini, SandraVaccarino, Francesco | NeurIPS_ML4PS_2021_87.pdf |
| Profiling industrial vehicle duties using CAN bus signal segmentation and clustering / Buccafusco, Silvia; Megaro, Andrea; Cagliero, Luca; Vaccarino, Francesco; Salvatori, Lucia; Loti, Riccardo. - ELETTRONICO. - 2841:(2021), pp. 1-6. (Intervento presentato al convegno Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021 tenutosi a Nicosia (Cyprus) nel March 23-26, 2021). | 1-gen-2021 | Silvia BuccafuscoAndrea MegaroLuca CaglieroFrancesco Vaccarino + | DARLI-AP_7.pdf |
| The physics of higher-order interactions in complex systems / Battiston, Federico; Amico, Enrico; Barrat, Alain; Bianconi, Ginestra; Ferraz de Arruda, Guilherme; Franceschiello, Benedetta; Iacopini, Iacopo; Kéfi, Sonia; Latora, Vito; Moreno, Yamir; Murray, Micah M.; Peixoto, Tiago P.; Vaccarino, Francesco; Petri, Giovanni. - In: NATURE PHYSICS. - ISSN 1745-2473. - ELETTRONICO. - 17:10(2021), pp. 1093-1098. [10.1038/s41567-021-01371-4] | 1-gen-2021 | Amico, EnricoBarrat, AlainVaccarino, Francesco + | s41567-021-01371-4.pdf |
| Application of Deep Learning to Design Renewable Energy Systems fo a Zero Energy Multifamily Building / Della Santa, Francesco; Ferrara, Maria; Bilardo, Matteo; De Gregorio, Alessandro; Mastropietro, Antonio; Fugacci, Ulderico; Vaccarino, Francesco; Fabrizio, Enrico. - ELETTRONICO. - (2020). (Intervento presentato al convegno 15th SDEWES Conference Cologne 2020). | 1-gen-2020 | Della Santa, FrancescoFerrara, MariaBilardo, MatteoDe Gregorio, AlessandroMastropietro, AntonioFugacci, UldericoVaccarino, FrancescoFabrizio, Enrico | - |