PASCULLI, GIUSEPPE
PASCULLI, GIUSEPPE
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A Bayesian non parametric approach for bias correction for underreported data.
2022 Arima, Serena; Pasculli, Giuseppe; Polettini, Silvia
A Bayesian nonparametric approach to correct for underreporting in count data
2024 Arima, Serena; Polettini, Silvia; Pasculli, Giuseppe; Gesualdo, Loreto; Pesce, Francesco; Procaccini, Deni-Aldo
A Non-Stationary Markov Model for Economic Evaluation of Grass Pollen Allergoid Immunotherapy
2020 Bilancia, Massimo; Pasculli, Giuseppe; Di Bona, Danilo
Adaptive Positive-Unlabelled Learning via Markov Diffusion
2021 Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide
Bias correction for underreported data in small area mapping.
2021 Arima, Serena; Gesualdo, Loreto; Pasculli, Giuseppe; Pesce, Francesco; Polettini, Silvia; Procaccini., Deni-Aldo
Challenges and opportunities of Italian-qualified pharmacists relocated to work in Great Britain: A cross-sectional survey
2024 Pasculli, Giuseppe; Giua, Corrado; Keber, Enrico; Cancellu, Osvaldo; Arakawa, Naoko; Manfrin, Andrea
Diagnostic and prognostic role of plasma phosphorylated neurofilament heavy chain (pNf-H) in amyotrophic lateral sclerosis
2021 Dell'Abate, Maria Teresa; Zecca, Chiara; Pasculli, Giuseppe; Barone, Roberta; Capozzo, Rosa; Barulli, Maria Rosaria; Arima, Serena; Pollice, Alessio; Tortelli, Rosanna; Logroscino, Giancarlo
Early versus delayed antiretroviral therapy based on genotypic resistance test: Results from a large retrospective cohort study
2022 Bavaro Davide, Fiore; De Vito, Andrea; Pasculli, Giuseppe; Bouba, Yagai; Magnasco, Laura; Pincino, Rachele; Saladini, Francesco; Lattanzio, Rossana; Corsini, Romina; Arima, Serena; Zazzi, Maurizio; Incardona, Francesca; Rossetti, Barbara; Bezenchek, Antonia; Borghi, Vanni; Di Biagio, Antonio
Economic impact of industry-sponsored clinical trials in inflammatory bowel diseases: Results from the national institute of gastroenterology “Saverio de Bellis”
2022 Polignano, Maurizio Gaetano; Pasculli, Giuseppe; Trisolini, Pietro; Di Lorenzo, Michele Albino; Dalfino, Giuseppe; Giannelli, Gianluigi
EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks
2022 Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen
FOUR-CLASS RESISTANCE IS RARE IN TREATMENT-EXPERIENCED PATIENTS ACROSS EUROPE
2020 Zazzi, Maurizio; Vandamme, Anne-Mieke; Rossetti, Barbara; Fabbiani, Massimiliano; Incardona, Francesca; Theys, Kristof; Abecasis, Ana; Devaux, Carole; Kaiser, Rolf; Sönnerborg, Anders; Pasculli, Giuseppe; Vercauteren, Jurgen
GALAD score outperforms aMAP and ALBI scores in the 5- and 10-year prediction of hepatocellular carcinoma (HCC) development in patients with compensated advanced chronic liver disease (cACLD): a 12-year prospective study
2023 Baldaccini, Valentina; Ascari, Sara; Critelli, Rosina Maria; Pesole, Letizia; Lasagni, Simone; Coletta, Sergio; Tedesco, Calogero Claudio; Pasculli, Giuseppe; Donghia, Rossella; Semellini, Filippo; Villa, Erica; Giannelli, Gianluigi
Identification of glomerulosclerosis using IBM Watson and shallow neural networks
2022 Pesce, Francesco; Albanese, Federica; Mallardi, Davide; Rossini, Michele; Pasculli, Giuseppe; Suavo-Bulzis, Paola; Granata, Antonio; Brunetti, Antonio; Cascarano, Giacomo Donato; Bevilacqua, Vitoantonio; Gesualdo, Loreto
Learning characteristics of graph neural networks predicting protein–ligand affinities
2023 Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen
MO492: ‘The Disease Awareness Innovation Network’ (DANTE) Framework for Chronic Kidney Disease Diagnosis
2022 Pesce, Francesco; Pasculli, Domenico; Pasculli, Giuseppe; Sivo, Carmen; Serena Russo, Maria; Granata, Antonio; Gesualdo, Loreto
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.
NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification
2023 Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Vergni, Davide; Tieri, Paolo
Predictors of virological failure among people living with HIV switching from an effective first-line antiretroviral regimen
2022 Laura Magnasco, Dr.; Rachele Pincino, Dr.; Pasculli, Giuseppe; Yagai Bouba, Dr.; Francesco Saladini, Dr.; Davide Fiore Bavaro, Dr.; Andrea De Vito, Dr.; Rossana Lattanzio, Dr.; Romina Corsini, Dr.; Maurizio Zazzi, Prof.; Francesca Incardona, Dr.; Barbara Rossetti, Dr.; Antonia Bezenchek, Dr.; Vanni Borghi, Dr.; Antonio Di Biagio, and Dr.
Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach
2022 Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bayesian non parametric approach for bias correction for underreported data. | 2022 | Arima, Serena; Pasculli, Giuseppe; Polettini, Silvia | |
| A Bayesian nonparametric approach to correct for underreporting in count data | 2024 | Arima, Serena; Polettini, Silvia; Pasculli, Giuseppe; Gesualdo, Loreto; Pesce, Francesco; Procaccini, Deni-Aldo | |
| A Non-Stationary Markov Model for Economic Evaluation of Grass Pollen Allergoid Immunotherapy | 2020 | Bilancia, Massimo; Pasculli, Giuseppe; Di Bona, Danilo | |
| Adaptive Positive-Unlabelled Learning via Markov Diffusion | 2021 | Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide | |
| Bias correction for underreported data in small area mapping. | 2021 | Arima, Serena; Gesualdo, Loreto; Pasculli, Giuseppe; Pesce, Francesco; Polettini, Silvia; Procaccini., Deni-Aldo | |
| Challenges and opportunities of Italian-qualified pharmacists relocated to work in Great Britain: A cross-sectional survey | 2024 | Pasculli, Giuseppe; Giua, Corrado; Keber, Enrico; Cancellu, Osvaldo; Arakawa, Naoko; Manfrin, Andrea | |
| Diagnostic and prognostic role of plasma phosphorylated neurofilament heavy chain (pNf-H) in amyotrophic lateral sclerosis | 2021 | Dell'Abate, Maria Teresa; Zecca, Chiara; Pasculli, Giuseppe; Barone, Roberta; Capozzo, Rosa; Barulli, Maria Rosaria; Arima, Serena; Pollice, Alessio; Tortelli, Rosanna; Logroscino, Giancarlo | |
| Early versus delayed antiretroviral therapy based on genotypic resistance test: Results from a large retrospective cohort study | 2022 | Bavaro Davide, Fiore; De Vito, Andrea; Pasculli, Giuseppe; Bouba, Yagai; Magnasco, Laura; Pincino, Rachele; Saladini, Francesco; Lattanzio, Rossana; Corsini, Romina; Arima, Serena; Zazzi, Maurizio; Incardona, Francesca; Rossetti, Barbara; Bezenchek, Antonia; Borghi, Vanni; Di Biagio, Antonio | |
| Economic impact of industry-sponsored clinical trials in inflammatory bowel diseases: Results from the national institute of gastroenterology “Saverio de Bellis” | 2022 | Polignano, Maurizio Gaetano; Pasculli, Giuseppe; Trisolini, Pietro; Di Lorenzo, Michele Albino; Dalfino, Giuseppe; Giannelli, Gianluigi | |
| EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks | 2022 | Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen | |
| FOUR-CLASS RESISTANCE IS RARE IN TREATMENT-EXPERIENCED PATIENTS ACROSS EUROPE | 2020 | Zazzi, Maurizio; Vandamme, Anne-Mieke; Rossetti, Barbara; Fabbiani, Massimiliano; Incardona, Francesca; Theys, Kristof; Abecasis, Ana; Devaux, Carole; Kaiser, Rolf; Sönnerborg, Anders; Pasculli, Giuseppe; Vercauteren, Jurgen | |
| GALAD score outperforms aMAP and ALBI scores in the 5- and 10-year prediction of hepatocellular carcinoma (HCC) development in patients with compensated advanced chronic liver disease (cACLD): a 12-year prospective study | 2023 | Baldaccini, Valentina; Ascari, Sara; Critelli, Rosina Maria; Pesole, Letizia; Lasagni, Simone; Coletta, Sergio; Tedesco, Calogero Claudio; Pasculli, Giuseppe; Donghia, Rossella; Semellini, Filippo; Villa, Erica; Giannelli, Gianluigi | |
| Identification of glomerulosclerosis using IBM Watson and shallow neural networks | 2022 | Pesce, Francesco; Albanese, Federica; Mallardi, Davide; Rossini, Michele; Pasculli, Giuseppe; Suavo-Bulzis, Paola; Granata, Antonio; Brunetti, Antonio; Cascarano, Giacomo Donato; Bevilacqua, Vitoantonio; Gesualdo, Loreto | |
| Learning characteristics of graph neural networks predicting protein–ligand affinities | 2023 | Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen | |
| MO492: ‘The Disease Awareness Innovation Network’ (DANTE) Framework for Chronic Kidney Disease Diagnosis | 2022 | Pesce, Francesco; Pasculli, Domenico; Pasculli, Giuseppe; Sivo, Carmen; Serena Russo, Maria; Granata, Antonio; Gesualdo, Loreto | |
| 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. | |
| NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification | 2023 | Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Vergni, Davide; Tieri, Paolo | |
| Predictors of virological failure among people living with HIV switching from an effective first-line antiretroviral regimen | 2022 | Laura Magnasco, Dr.; Rachele Pincino, Dr.; Pasculli, Giuseppe; Yagai Bouba, Dr.; Francesco Saladini, Dr.; Davide Fiore Bavaro, Dr.; Andrea De Vito, Dr.; Rossana Lattanzio, Dr.; Romina Corsini, Dr.; Maurizio Zazzi, Prof.; Francesca Incardona, Dr.; Barbara Rossetti, Dr.; Antonia Bezenchek, Dr.; Vanni Borghi, Dr.; Antonio Di Biagio, and Dr. | |
| Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach | 2022 | Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen |