Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures

Autor: Randone, Francesca, Bortolussi, Luca, Incerto, Emilio, Tribastone, Mirco

Computing the posterior distribution of a probabilistic program is a hard task for which no one-fit-for-all solution exists. We propose Gaussian Semantics, which approximates the exact probabilistic semantics of a bounded program by means of Gaussian

Externí odkaz: http://arxiv.org/abs/2311.08235

Towards a comprehensive approach to the management and prognosis of systemic sclerosis's patients: The role of comorbidities in the SPRING-SIR registry

Autor: Orlandi, Martina, Bellando-Randone, Silvia, De Angelis, Rossella, Ferri, Clodoveo, Giuggioli, Dilia, Cacciapaglia, Fabio, Magnani, Luca, Cuomo, Giovanna, Gigante, Antonietta, Codullo, Veronica, Campochiaro, Corrado, Ariani, Alarico, Foti, Rosario, Guiducci, Serena, Matucci-Cerinic, Marco, Bruni, Cosimo

Publikováno v: In European Journal of Internal Medicine December 2024 130:130-136

The role of lung biopsy for diagnosis and prognosis of interstitial lung disease in systemic sclerosis: a systematic literature review

Autor: A Damiani, M Orlandi, C Bruni, G Bandini, G Lepri, C Scaletti, C Ravaglia, F Frassanito, S Guiducci, A Moggi-Pignone, M Matucci-Cerinic, V Poletti, L Tofani, TV Colby, S Bellando Randone, Sara Tomassetti

Publikováno v: Respiratory Research, Vol 25, Iss 1, Pp 1-12 (2024)

Abstract Background The prognostic and theragnostic role of histopathological subsets in systemic sclerosis interstitial lung disease (SSc-ILD) have been largely neglected due to the paucity of treatment options and the risks associated with surgical

Externí odkaz: https://doaj.org/article/0cbcc0c0ed654ced8c7762c6a8652b91

Management of pregnancy in autoimmune rheumatic diseases: maternal disease course, gestational and neonatal outcomes and use of medications in the prospectiveItalian P-RHEUM.it study

Autor: Carlo Alberto Scirè, Alessandra Bortoluzzi, Andrea Doria, Micaela Fredi, Marcello Govoni, Chiara Tani, Angela Tincani, Maurizio Cutolo, Marta Mosca, Florenzo Iannone, Elena Elefante, Margherita Zen, Maddalena Larosa, Paola Conigliaro, Maria Sole Chimenti, Veronica Codullo, Cecilia Nalli, Veronique Ramoni, Carlomaurizio Montecucco, Marco Taglietti, Valentina Picerno, Greta Carrara, Laura Andreoli, Chiara Marvisi, Carlo Salvarani, Serena Guiducci, Antonio Luca Brucato, Franco Franceschini, Giandomenico Sebastiani, Marta Tonello, Silvia Bellando-Randone, Dina Zucchi, Giovanna Cuomo, Maria Letizia Urban, Maria Gerosa, Ettore Silvagni, Elisa Bellis, Francesca Bellisai, Alessandra Milanesi, Patrizia Rovere-Querini, Ariela Hoxha, Salvatore D'Angelo, Sonia Zatti, Emanuele Bizzi, Gianpiero Landolfi, Bernd Raffeiner, Leonardo Santo, Teresa Del Ross, Maria Stefania Cutro, Giulia Pazzola, Oscar Massimiliano Epis, Sara Benedetti, Maria Favaro, Antonia Calligaro, Annamaria Iuliano, Sabrina Gori, Francesca Crisafulli, Matteo Filippini, Maria Chiara Gerardi, Maria Grazia Lazzaroni, Cecilia Beatrice Chighizola, Laura Trespidi, Maria Chiara Ditto, Cristina Zanardini, Roberta Erra, Melissa Padovan, Irene Mattioli, Davide Rozza, Claudia Lomater, Daniele Lini, Valentina Canti, Rebecca De Lorenzo, Francesca Ruffilli, Giulia Carrea, Ludovica Cavallo, Alessandra Zambon, Claudia Barison, Francesca Serale, Paolo Semeraro, Chiara Loardi, Rossana Orabona, Francesca Ramazzotto, Giulia Fontana, Giorgia Gozzoli, Paola Bizioli, Roberto Felice Caporali, Manuela Wally Ossola, Beatrice Maranini, Danila Morano, Rosita Verteramo, Maria Grazia Anelli, Marlea Lavista, Anna Abbruzzese, Carlo Giuseppe Fasano, Teresa Carbone, Angela Anna Padula, Giuseppina Comitini, Giuseppina Di Raimondo, Clizia Gagliardi, Gloria Crepaldi, Estrella Garcia Gonzalez, Anna Paola Pata, Martina Zerbinati, Sara Tonetta

Publikováno v: RMD Open, Vol 10, Iss 2 (2024)

Objectives To investigate pregnancy outcomes in women with autoimmune rheumatic diseases (ARD) in the Italian prospective cohort study P-RHEUM.it.Methods Pregnant women with different ARD were enrolled for up to 20 gestational weeks in 29 Rheumatolog

Externí odkaz: https://doaj.org/article/2d716487c3ac4903a0edd2544b3f087c

Model Learning with Personalized Interpretability Estimation (ML-PIE)

Autor: Virgolin, Marco, De Lorenzo, Andrea, Randone, Francesca, Medvet, Eric, Wahde, Mattias

High-stakes applications require AI-generated models to be interpretable. Current algorithms for the synthesis of potentially interpretable models rely on objectives or regularization terms that represent interpretability only coarsely (e.g., model s

Externí odkaz: http://arxiv.org/abs/2104.06060