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PODDA, MARCO Statistiche

PODDA, MARCO  

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Risultati 1 - 20 di 34 (tempo di esecuzione: 0.035 secondi).
Titolo Data di pubblicazione Autore(i) File
A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens 1-gen-2025 Podda, Marco; Savojardo, Castrense; Luigi Martelli, Pier; Casadio, Rita; Sîrbu, Alina; Priami, Corrado; Brozzi, Alessandro
An Empirical Investigation of Shortcuts in Graph Learning 1-gen-2025 Tortorella, Domenico; Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity 1-gen-2025 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks 1-gen-2025 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Efficient quantification on large-scale networks 1-gen-2025 Micheli, Alessio; Moreo, Alejandro; Podda, Marco; Sebastiani, Fabrizio; Simoni, William; Tortorella, Domenico
Graph Diffusion that can Insert and Delete 1-gen-2025 Ninniri, Matteo; Podda, Marco; Bacciu, Davide
Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing 1-gen-2025 Baccheschi, Corrado; Bondielli, Alessandro; Lenci, Alessandro; Micheli, Alessio; Passaro, Lucia; Podda, Marco; Tortorella, Domenico
Misinformation mitigation in online social networks using continual learning with graph neural networks 1-gen-2025 Merini, Hichem; Imad Eddine Hosni, Adil; Beghdad Bey, Kadda; Lomonaco, Vincenzo; Podda, Marco; Baira, Islem
Sensitivity analysis on protein-protein interaction networks through deep graph networks 1-gen-2025 Dipalma, Alessandro; Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
Towards Efficient Molecular Property Optimization with Graph Energy Based Models 1-gen-2025 Miglior, Luca; Simone, Lorenzo; Podda, Marco; Bacciu, Davide
Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning 1-gen-2024 Podda, Marco; Bonechi, Simone; Palladino, Andrea; Scaramuzzino, Mattia; Brozzi, Alessandro; Roma, Guglielmo; Muzzi, Alessandro; Priami, Corrado; Sirbu, Alina; Bodini, Margherita
Classifier-Free Graph Diffusion for Molecular Property Targeting 1-gen-2024 Ninniri, Matteo; Podda, Marco; Bacciu, Davide
Explaining Graph Classifiers by Unsupervised Node Relevance Attribution 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
How Much Do DNA and Protein Deep Embeddings Preserve Biological Information? 1-gen-2024 Tolloso, Matteo; Galfre, Silvia Giulia; Pavone, Arianna; Podda, Marco; Sirbu, Alina; Priami, Corrado
Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures 1-gen-2024 De Lucia, R; Micheli, A; Parlato, A; Podda, M; Pedrelli, L; Aliprandi, F; Parollo, M; Segreti, L; Di Cori, A; Canu, A; Grifoni, G; Barletta, V; Viani, S; Zucchelli, G
Relating Explanations with the Inductive Biases of Deep Graph Networks 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
XAI and Bias of Deep Graph Networks 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets 1-gen-2023 Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni
Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs 1-gen-2023 Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
Graph Representation Learning 1-gen-2023 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele