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ORCIDAndrea Cavallo
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2020 – today
- 2024
[j7]Karim Kassem, Michela Sperti, Andrea Cavallo, Andrea Mario Vergani, Davide Fassino
, Monica Moz, Alessandro Liscio, Riccardo Banali, Michael Dahlweid, Luciano Benetti, Francesco Bruno, Guglielmo Gallone, Ovidio De Filippo, Mario Iannaccone, Fabrizio D'Ascenzo, Gaetano Maria de Ferrari, Umberto Morbiducci, Emanuele Della Valle, Marco Agostino Deriu:
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). Artif. Intell. Medicine 151: 102841 (2024)- [c7]Andrea Cavallo, Luca Gioacchini, Luca Vassio, Marco Mellia:
Detecting Edge and Node Anomalies with Temporal GNNs. GNNet@CoNEXT 2024: 7-13 - [c6]Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi:
Spatiotemporal Covariance Neural Networks. ECML/PKDD (2) 2024: 18-34 - [i9]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) - [i8]Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro:
Higher-Order Topological Directionality and Directed Simplicial Neural Networks. CoRR abs/2409.08389 (2024) - [i7]Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi:
Fair CoVariance Neural Networks. CoRR abs/2409.08558 (2024) - [i6]Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi:
Spatiotemporal Covariance Neural Networks. CoRR abs/2409.10068 (2024) - [i5]Andrea Cavallo, Zhan Gao, Elvin Isufi:
Sparse Covariance Neural Networks. CoRR abs/2410.01669 (2024) - 2023
- [c5]Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio:
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. GNNet@CoNEXT 2023: 31-36 - [c4]Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio:
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. IJCNN 2023: 1-8 - [i4]Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio:
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. CoRR abs/2304.10896 (2023) - 2022
- [j6]Karthikeyan Kalyanasundaram Balasubramanian, Francesco Diotalevi, Claudio Lorini, Andrea Cavallo, Novella Pretti, Dario Paladini, Diego Torazza, Cristina Becchio, Marco Crepaldi:
A Transcutaneous Fetal Visual Stimulator. IEEE Access 10: 45979-45996 (2022) - [j5]Luca Romeo, Andrea Cavallo, Lucia Pepa, Nadia Bianchi-Berthouze, Massimiliano Pontil:
Multiple Instance Learning for Emotion Recognition Using Physiological Signals. IEEE Trans. Affect. Comput. 13(1): 389-407 (2022) - [i3]Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio:
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance. CoRR abs/2212.13202 (2022) - 2020
- [j4]Andrea Zunino, Jacopo Cavazza, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach. Int. J. Comput. Vis. 128(1): 220-239 (2020)
2010 – 2019
- 2018
- [c3]Andrea Zunino, Pietro Morerio, Andrea Cavallo, Caterina Ansuini, Jessica Podda, Francesca Battaglia, Edvige Veneselli, Cristina Becchio, Vittorio Murino:
Video Gesture Analysis for Autism Spectrum Disorder Detection. ICPR 2018: 3421-3426 - 2017
- [c2]Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
What Will I Do Next? The Intention from Motion Experiment. CVPR Workshops 2017: 1-8 - [c1]Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach. ACM Multimedia 2017: 591-599 - [i2]Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
What Will I Do Next? The Intention from Motion Experiment. CoRR abs/1708.01034 (2017) - 2016
- [j3]Giulia Bucchioni, Carlotta Fossataro, Andrea Cavallo, Harold Mouras, Marco Neppi-Modona, Francesca Garbarini:
Empathy or Ownership? Evidence from Corticospinal Excitability during Pain Observation. J. Cogn. Neurosci. 28(11): 1760-1771 (2016) - [i1]Andrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
Intention from Motion. CoRR abs/1605.09526 (2016) - 2015
- [j2]Andrea Cavallo, Ovidiu V. Lungu, Cristina Becchio, Caterina Ansuini, Aldo Rustichini, Luciano Fadiga:
When gaze opens the channel for communication: Integrative role of IFG and MPFC. NeuroImage 119: 63-69 (2015) - 2012
- [j1]Cristina Becchio, Andrea Cavallo, Chiara Begliomini, Luisa Sartori, Giampietro Feltrin, Umberto Castiello:
Social grasping: From mirroring to mentalizing. NeuroImage 61(1): 240-248 (2012)
Coauthor Index
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