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ORCIDFrancesco Vaccarino
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2020 – today
- 2024
[c6]Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Moreno Berton, Carlo Masone:
Scale-Free Image Keypoints Using Differentiable Persistent Homology. ICML 2024- [i9]Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Moreno Berton, Carlo Masone:
Scale-Free Image Keypoints Using Differentiable Persistent Homology. CoRR abs/2406.01315 (2024) - [i8]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson
, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i7]Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino:
Edge-Wise Graph-Instructed Neural Networks. CoRR abs/2409.08023 (2024) - 2023
- [j6]Silvia Buccafusco, Luca Cagliero, Andrea Megaro, Francesco Vaccarino, Riccardo Loti, Lucia Salvatori:
Learning industrial vehicles' duty patterns: A real case. Comput. Ind. 145: 103826 (2023) - [c5]Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti:
Detecting industrial vehicles' duty levels using contrastive learning. IEEE Big Data 2023: 1630-1636 - [i6]Antonio Mastropietro, Francesco Vaccarino:
The Shapley-Hodge Associated Game. CoRR abs/2303.17151 (2023) - 2022
- [c4]Rosalia Tatano, Antonio Mastropietro, Enrico Busto, Francesco Vaccarino:
Sanity Check for Shapley values-based explanations of Deep Neural Networks Predictions. ICHI 2022: 644-646 - 2021
- [j5]Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino:
Layer-wise relevance propagation for backbone identification in discrete fracture networks. J. Comput. Sci. 55: 101458 (2021) - [j4]Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino:
Computing invariants for multipersistence via spectral systems and effective homology. J. Symb. Comput. 104: 724-753 (2021) - [c3]Silvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti:
Profiling industrial vehicle duties using CAN bus signal segmentation and clustering. EDBT/ICDT Workshops 2021 - [i5]Alessandro De Gregorio, Marco Guerra, Sara Scaramuccia, Francesco Vaccarino:
Parallel decomposition of persistence modules through interval bases. CoRR abs/2106.11884 (2021) - [i4]Federico Battiston, Enrico Amico, Alain Barrat, Ginestra Bianconi, Guilherme Ferraz de Arruda, Benedetta Franceschiello, Iacopo Iacopini, Sonia Kéfi, Vito Latora, Yamir Moreno, Micah M. Murray, Tiago P. Peixoto, Francesco Vaccarino, Giovanni Petri:
The physics of higher-order interactions in complex systems. CoRR abs/2110.06023 (2021) - 2020
- [p1]Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino:
Neural Epistemology in Dynamical System Learning. Neural Approaches to Dynamics of Signal Exchanges 2020: 213-221 - [i3]Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci, Giovanni Petri, Francesco Vaccarino:
Homological Scaffold via Minimal Homology Bases. CoRR abs/2004.11606 (2020)
2010 – 2019
- 2019
- [c2]Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino:
Computing Multipersistence by Means of Spectral Systems. ISSAC 2019: 195-202 - 2017
- [j3]Alice Patania, Francesco Vaccarino, Giovanni Petri:
Topological analysis of data. EPJ Data Sci. 6(1): 7 (2017) - [j2]Alice Patania, Giovanni Petri, Francesco Vaccarino:
The shape of collaborations. EPJ Data Sci. 6(1): 18 (2017) - 2015
- [i2]Francesco Vaccarino, Alice Patania, Giovanni Petri:
P-persistent homology of finite topological spaces. CoRR abs/1502.04873 (2015) - 2014
- [c1]Jacopo Binchi, Emanuela Merelli, Matteo Rucco, Giovanni Petri, Francesco Vaccarino:
jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology. CS2Bio 2014: 5-18 - [i1]Wojciech Chachólski, Martina Scolamiero, Francesco Vaccarino:
Combinatorial presentation of multidimensional persistent homology. CoRR abs/1409.7936 (2014) - 2011
- [j1]Martina Gandini, Franco Lombardi, Francesco Vaccarino:
Blind separation of manufacturing variability with independent component analysis: A convolutive approach. Expert Syst. Appl. 38(8): 9939-9946 (2011)
Coauthor Index
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