Francesco Vaccarino

According to our database, Francesco Vaccarino authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Topological obstruction to the training of shallow ReLU neural networks.

Marco Nurisso, Pierrick Leroy, Francesco Vaccarino

CoRR, 2024

Edge-Wise Graph-Instructed Neural Networks.

Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino

CoRR, 2024

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.

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

CoRR, 2024

Scale-Free Image Keypoints Using Differentiable Persistent Homology.

Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Moreno Berton, Carlo Masone

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Shapley-Hodge Associated Game.

Antonio Mastropietro, Francesco Vaccarino

CoRR, 2023

Learning industrial vehicles' duty patterns: A real case.

Silvia Buccafusco, Luca Cagliero, Andrea Megaro, Francesco Vaccarino, Riccardo Loti, Lucia Salvatori

Comput. Ind., 2023

Detecting industrial vehicles' duty levels using contrastive learning.

Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Sanity Check for Shapley values-based explanations of Deep Neural Networks Predictions.

Rosalia Tatano, Antonio Mastropietro, Enrico Busto, Francesco Vaccarino

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Computing invariants for multipersistence via spectral systems and effective homology.

Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino

J. Symb. Comput., 2021

Layer-wise relevance propagation for backbone identification in discrete fracture networks.

Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino

J. Comput. Sci., 2021

The physics of higher-order interactions in complex systems.

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

CoRR, 2021

Parallel decomposition of persistence modules through interval bases.

Alessandro De Gregorio, Marco Guerra, Sara Scaramuccia, Francesco Vaccarino

CoRR, 2021

Profiling industrial vehicle duties using CAN bus signal segmentation and clustering.

Silvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

Neural Epistemology in Dynamical System Learning.

Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Homological Scaffold via Minimal Homology Bases.

Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci, Giovanni Petri, Francesco Vaccarino

CoRR, 2020

2019

Computing Multipersistence by Means of Spectral Systems.

Andrea Guidolin, Jose Divasón, Ana Romero, Francesco Vaccarino

Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, 2019

2017

Topological analysis of data.

Alice Patania, Francesco Vaccarino, Giovanni Petri

EPJ Data Sci., 2017

The shape of collaborations.

Alice Patania, Giovanni Petri, Francesco Vaccarino

EPJ Data Sci., 2017

2015

P-persistent homology of finite topological spaces.

Francesco Vaccarino, Alice Patania, Giovanni Petri

CoRR, 2015

2014

jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology.

Jacopo Binchi, Emanuela Merelli, Matteo Rucco, Giovanni Petri, Francesco Vaccarino

Proceedings of the 5th International Workshop on Interactions between Computer Science and Biology, 2014

Combinatorial presentation of multidimensional persistent homology.

Wojciech Chachólski, Martina Scolamiero, Francesco Vaccarino

CoRR, 2014

2011

Blind separation of manufacturing variability with independent component analysis: A convolutive approach.

Martina Gandini, Franco Lombardi, Francesco Vaccarino

Expert Syst. Appl., 2011