Exploring Cardiac Rhythms and Improving ECG Beat Classification Through Latent Spaces by Vadillo-Valderrama, Alba, Chaquet-Ulldemolins, Jacobo, Goya-Esteban, Rebeca, Caulier-Cisterna, Raul P., Sanchez-Munoz, Juan Jose, Garcia-Alberola, Arcadi, Rojo-Alvarez, Jose Luis

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Differential Beat Accuracy for ECG Family Classification Using Machine Learning by Vadillo-Valderrama, Alba, Goya-Esteban, Rebeca, Caulier-Cisterna, Raul P., Garcia-Alberola, Arcadi, Rojo-Alvarez, Jose Luis

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Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach by Cevallos Moreno, Jesús Fernando, Sattler, Rebecca, Caulier Cisterna, Raúl P., Ricciardi Celsi, Lorenzo, Sánchez Rodríguez, Aminael, Mecella, Massimo

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Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting by Ohuma, Eric O, Bradley, Ellen, Idueta, Lorena Suárez, Okwaraji, Yemisrach B, Katz, Joanne, Diaz, Mike, Blencowe, Hannah, Klein, Nigel, Hofmeyr, G Justus, Retno Mahanani, Wahyu, White Johansson, Emily, Lavin, Tina, Cresswell, Jenny A, Guevel, Carlos, Gordon, Adrienne, Rocha Falcão, Ila, Lima Barreto, Mauricio, Acuña, José, Horváth-Puhó, Erzsébet, Toft Sørensen, Henrik, Sakkeus, Luule, Heidarzadeh, Mohammad, A. Yunis, Khalid, Nakad, Pascale, Devi Karalasingam, Shamala, R Jeganathan, J Ravichandran, Suárez-Idueta, Lorena, Gonzalez Roldan, Jesus F, Lopez Alvarez, Sonia, Cajachagua-Torres, Kim N, Tarazona Meza, Carla Estefania, AlQubaisi, Mai, Smith, Lucy K, Matthews, Ruth J, Manktelow, Bradley N, Fenton, Alan C, Wood, Rachael, Pereyra, Isabel, Clarke, Samantha, Yoshida, Sachiyo, Rashid, Mabhubur, Haque, Rezwanul, Shaikh, Saijuddin, Rahman, Sayedur, Shapiro, Roger, Silveira, Mariângela F., Buffarini, Romina, Lachat, Carl, Tesfamariam, Kokeb, Chan, Grace, Workneh, Firehiwot, Boanmah-Kaali, Ellen, Dewey, Kathryn G., Gyaase, Stephaney, Wylie, Blair J., Kirkwood, Betty R., Manu, Alexander, Chowdhury, Ranadip, Taneja, Sunita, Maleta, Kenneth, Rogerson, Stephen J., Musange, Sabine, Lazzerini, Marzia, Mohamed, Rishard, Wang, Dongqing, Fawzi, Wafaie W., Schmiegelow, Christentze, Smith, Emily, Kakuru, Abel, Waiswa, Peter, Chaponda, Enesia B., Musokotwane, Kebby, Manasyan, Albert, Pry, Jake M., Klemm, Rolf D.W., Mitra, Maithili, Guo, Yixin, Goddard, Frederick, Hunegnaw, Bezawit, Arnold, Charles D., Jack, Darby, Pyykkö, Juha, Lumbreras-Marquez, Mario I., Mendoza-Carrera, Claudia E., Mehmood, Usma, Nadeem, Naila, Ome-Kaius, Maria, Theander, Thor, Deloron, Phillippe, Nielsen, Birgitte Bruun, Muhihi, Alfa, Bygbjerg, Ib, Dutta, Arup, Mohammed, Mohammed, Biemba, Godfrey, Herlihy, Julie M., Mbewe, Reuben K., Mweena, Fern, Yeboah-Antwi, Kojo, Bruce, Jane

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Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021 by Suárez-Idueta, Lorena, Yargawa, Judith, Blencowe, Hannah, Bradley, Ellen, Okwaraji, Yemisrach B, Pingray, Veronica, Gibbons, Luz, Gordon, Adrienne, Warrilow, Kara, Paixao, Enny S, Falcão, Ila Rocha, Lisonkova, Sarka, Wen, Qi, Mardones, Francisco, Caulier-Cisterna, Raúl, Velebil, Petr, Jírová, Jitka, Horváth-Puhó, Erzsebet, Sørensen, Henrik Toft, Sakkeus, Luule, Abuladze, Lili, Gissler, Mika, Heidarzadeh, Mohammad, Moradi-Lakeh, Maziar, Yunis, Khalid A, Al Bizri, Ayah, Karalasingam, Shamala D, Jeganathan, Ravichandran, Barranco, Arturo, Broeders, Lisa, van Dijk, Aimée E, Huicho, Luis, Quezada-Pinedo, Hugo Guillermo, Cajachagua-Torres, Kim Nail, Alyafei, Fawziya, AlQubaisi, Mai, Cho, Geum Joon, Kim, Ho Yeon, Razaz, Neda, Söderling, Jonas, Smith, Lucy K, Kurinczuk, Jennifer, Lowry, Estelle, Rowland, Neil, Wood, Rachael, Monteath, Kirsten, Pereyra, Isabel, Pravia, Gabriella, Ohuma, Eric O, Lawn, Joy E

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