Extreme Image Transformations Facilitate Robust Latent Object Representations

Autor: Malik, Girik, Crowder, Dakarai, Mingolla, Ennio

Adversarial attacks can affect the object recognition capabilities of machines in wild. These can often result from spurious correlations between input and class labels, and are prone to memorization in large networks. While networks are expected to

Externí odkaz: http://arxiv.org/abs/2310.07725

Drug utilization and medication adherence for the treatment of psoriatic arthritis: an Italian study

Autor: Fiorenzo Santoleri, Paolo Abrate, Laura Pestrin, Enrico Pasut, Germana Modesti, Felice Musicco, Chiara Fulgenzio, Eva Zuzolo, Gabriella Pieri, Martina Roperti, Pietro Gazzola, Marco Gambera, Isabella Martignoni, Valentina Montresor, Francesca Guarino, Laura Grossi, Letizia Di Fabio, Cristina Roberti, Concetta Spoltore, Gabriella Tinari, Stefania De Rosa, Romina Giannini, Roberto Langella, Grazia Mingolla, Mariantonietta Piccoli, Alberto Costantini

Publikováno v: Global & Regional Health Technology Assessment, Vol 11, Iss 1 (2024)

Introduction: This study aims to evaluate the persistence, treatment adherence and drug cost associated with biologic and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in the management of psoriatic arthritis (PsA) in Italy, w

Externí odkaz: https://doaj.org/article/a5f5d14afc0945e59c39275f3305599a

Effects of emissions caps on the costs and feasibility of low-carbon hydrogen in the European ammonia industry

Autor: Stefano Mingolla, Paolo Gabrielli, Alessandro Manzotti, Matthew J. Robson, Kevin Rouwenhorst, Francesco Ciucci, Giovanni Sansavini, Magdalena M. Klemun, Zhongming Lu

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-23 (2024)

Abstract The European ammonia industry emits 36 million tons of carbon dioxide annually, primarily from steam methane reforming (SMR) hydrogen production. These emissions can be mitigated by producing hydrogen via water electrolysis using dedicated r

Externí odkaz: https://doaj.org/article/8c254c21ef2e48c780a61ebf0bfe1584

The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks

Autor: Malik, Girik, Linsley, Drew, Serre, Thomas, Mingolla, Ennio

Nearly all models for object tracking with artificial neural networks depend on appearance features extracted from a "backbone" architecture, designed for object recognition. Indeed, significant progress on object tracking has been spurred by introdu

Externí odkaz: http://arxiv.org/abs/2110.02772

Immediate effect of the COVID-19 pandemic on patient health, health-care use, and behaviours: results from an international survey of people with rheumatic diseases

Autor: Robinson, Philip C., Bhana, Suleman, Liew, Jean W., Sufka, Paul H., Singh, Namrata, Howard, Richard A., Kim, Alfred H.J., Westrich-Robertson, Tiffany, Sirotich, Emily, Tsui, Edmund, Duarte-Garcia, Ali, Sparks, Jeffrey A., Tam, Herman, Jayatilleke, Arundathi, Konig, Maximilian F., Graef, Elizabeth R., Putman, Michael S., Syed, Reema H., Korsten, Peter, Mateus, Elsa, Sattui, Sebastian E., Wallace, Zachary S., Laura, Upton A., Adam, Kilian, Chock, Yu Pei Eugenia, White, Douglas W., Zamora, Geraldine T., Traboco, Lisa S., Patel, Aarat M., Grainger, Rebecca, Ugarte-Gil, Manuel F., Gianfrancesco, Milena A., Amigues, Isabelle, Sanchez-Alvarez, Catalina, Trupin, Laura, Jacobsohn, Lindsay R., Beesley, Richard P., Hoyer, Bimba F., Machado, Pedro M., Makan, Kavita, Gossec, Laure, Priyank, Chaudhary, Leipe, Jan, Wallace, Beth, Angeles-Han, Sheila T., Almaghlouth, Ibrahim A., Katherine, Wysham D., Padula, Anthony S., Berenbaum, Francis, Treemarcki, Erin M., Sinha, Rashmi, Lewandowski, Laura B., Webb, Kate, Young, Kristen J., Bulina, Inita, Herrera Uribe, Sebastian, Rubinstein, Tamar B., Nolan, Marc W., Ang, Elizabeth Y., Venuturupalli, Swamy R., Hausmann, Jonathan S., Dubreuil, Maureen, Pisoni, Cecilia N., Cosatti, Micaela A., Campos, Jose, Simard, Julia F., Conway, Richard, Peterson, Tiffany M., Harrison, Carly O., Felix, Christele, Richards, Dawn P., Proulx, Laurie, Akpabio, Akpabio A., Worthing, Angus B., Laidlaw, Lynn R., Reid, Pankti, Palmerlee, Candace A., Danila, Maria I., Sahar, Lotfi-Emran, Linh, Ngo Q., Agarwal, Arnav, Studenic, Paul, Liew, David F.L., Larche, Maggie J., Mingolla, Serena A.M., Zamora, Erick A., Angevare, Saskya S., Sinha, Rashmi R., Durrant, Karen L.W., Peirce, Andrea, Somers, Emily C., Cappelli, Laura C., Frankel, Brittany A., Kumar, Bharat, Silinsky Krupnikova, Sonia D., Rosario Vega, Jorge A., Frankovich, Jourdan, Fernandez-Ruiz, Ruth, Posada Velásquez, Marcela, Yeoh, Su-Ann, Marino, Maria, Nudel, Michal, Scott, Chrisiaan, Rodríguez, Cecilia, Martín Mancheño, Ana I., Seo, Philip, Gamboa-Cárdenas, Rocío V., Pimentel-Quiroz, Victor R., Reátegui-Sokolova, Cristina, Kihara, Mari, Lin, Chung M.A., Kattula, Dheera, Laila, Girgis, Carmona, Loreto, Wallace, John, Yazdany, Jinoos, Costello, Wendy, Gore-massy, Monique C., Tomasella, Laura-Ann, Kodek, Moré A., Hausmann, Jonathan S, Kennedy, Kevin, Simard, Julia F, Liew, Jean W, Sparks, Jeffrey A, Moni, Tarin T, Harrison, Carly, Larché, Maggie J, Levine, Mitchell, Sattui, Sebastian E, Semalulu, Teresa, Foster, Gary, Surangiwala, Salman, Thabane, Lehana, Beesley, Richard P, Durrant, Karen L, Mateus, Elsa F, Mingolla, Serena, Palmerlee, Candace A, Richards, Dawn P, Liew, David F L, Hill, Catherine L, Machado, Pedro M, Robinson, Philip C, Sufka, Paul, Wallace, Zachary S

Publikováno v: In The Lancet Rheumatology October 2021 3(10):e707-e714