Sfoglia per Autore
A CNN approach for audio classification in construction sites
2020 Maccagno, Alessandro; Mastropietro, Andrea; Mazziotta, Umberto; Scarpiniti, Michele; Lee, Yong-Cheol; Uncini, Aurelio
Adaptive Positive-Unlabelled Learning via Markov Diffusion
2021 Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide
Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach
2022 Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery
2022 Luca, Riccardo De; Carfora, Marco; Blanco, Gonzalo; Mastropietro, Andrea; Petti, Manuela; Tieri, Paolo
EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks
2022 Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen
Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis
2022 Shahini, Endrit; Pasculli, Giuseppe; Mastropietro, Andrea; Stolfi, Paola; Tieri, Paolo; Vergni, Davide; Cozzolongo, Raffaele; Pesce, Francesco; Giannelli, Gianluigi
NETWORK PROXIMITY-BASED DRUG REPURPOSING STRATEGY FOR PRIMARY BILIARY CHOLANGITIS
2022 Shahini, E.; Pasculli, G.; Mastropietro, A.; Stolfi, P.; Tieri, P.; Vergni, D.; Cozzolongo, R.; Giannelli, G.; Pesce, F.
Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel
2023 Mastropietro, Andrea; Feldmann, Christian; Bajorath, Jürgen
XGDAG: explainable gene–disease associations via graph neural networks
2023 Mastropietro, Andrea; DE CARLO, Gianluca; Anagnostopoulos, Aris
Learning characteristics of graph neural networks predicting protein–ligand affinities
2023 Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen
NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification
2023 Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Vergni, Davide; Tieri, Paolo
Protocol to explain support vector machine predictions via exact Shapley value computation
2024 Mastropietro, Andrea; Bajorath, Jürgen
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A CNN approach for audio classification in construction sites | 2020 | Maccagno, Alessandro; Mastropietro, Andrea; Mazziotta, Umberto; Scarpiniti, Michele; Lee, Yong-Cheol; Uncini, Aurelio | |
| Adaptive Positive-Unlabelled Learning via Markov Diffusion | 2021 | Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide | |
| Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach | 2022 | Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen | |
| PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery | 2022 | Luca, Riccardo De; Carfora, Marco; Blanco, Gonzalo; Mastropietro, Andrea; Petti, Manuela; Tieri, Paolo | |
| EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks | 2022 | Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen | |
| Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis | 2022 | Shahini, Endrit; Pasculli, Giuseppe; Mastropietro, Andrea; Stolfi, Paola; Tieri, Paolo; Vergni, Davide; Cozzolongo, Raffaele; Pesce, Francesco; Giannelli, Gianluigi | |
| NETWORK PROXIMITY-BASED DRUG REPURPOSING STRATEGY FOR PRIMARY BILIARY CHOLANGITIS | 2022 | Shahini, E.; Pasculli, G.; Mastropietro, A.; Stolfi, P.; Tieri, P.; Vergni, D.; Cozzolongo, R.; Giannelli, G.; Pesce, F. | |
| Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel | 2023 | Mastropietro, Andrea; Feldmann, Christian; Bajorath, Jürgen | |
| XGDAG: explainable gene–disease associations via graph neural networks | 2023 | Mastropietro, Andrea; DE CARLO, Gianluca; Anagnostopoulos, Aris | |
| Learning characteristics of graph neural networks predicting protein–ligand affinities | 2023 | Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen | |
| NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification | 2023 | Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Vergni, Davide; Tieri, Paolo | |
| Protocol to explain support vector machine predictions via exact Shapley value computation | 2024 | Mastropietro, Andrea; Bajorath, Jürgen |
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