Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Manzelli, A."'
Autor:
Baird, Alice, Manzelli, Rachel, Tzirakis, Panagiotis, Gagne, Chris, Li, Haoqi, Allen, Sadie, Dieleman, Sander, Kulis, Brian, Narayanan, Shrikanth S., Cowen, Alan
The NeurIPS 2023 Machine Learning for Audio Workshop brings together machine learning (ML) experts from various audio domains. There are several valuable audio-driven ML tasks, from speech emotion recognition to audio event detection, but the communi
Externí odkaz:
http://arxiv.org/abs/2403.14048
Autor:
A. I. Alet, S. Porini, G. Detarsio, A. Aresi, L. Di Tullio, N. Manzelli, A. Acosta, M. E.Galassi, B. D. Riquelme
Publikováno v:
Anales (Asociación Física Argentina), Vol 35, Iss 1, Pp 21-24 (2024)
Red blood cell concentrates are the most widely used component in blood transfusions. Gamma irradiation of the transfusion unit is indicated when a patient is at risk of developing transfusion-associated graft-versus-host disease. However, this irrad
Externí odkaz:
https://doaj.org/article/006094452ac24501a06eab8a2d541b82
Autor:
Marianna Masiero, Chiara Filipponi, Elisa Fragale, Silvia Francesca Maria Pizzoli, Elisabetta Munzone, Alessandra Milani, Luca Guido, Vittorio Guardamagna, Sara Marceglia, Roberto Prandin, Marco Prenassi, Annamaria Caruso, Vania Manzelli, Chiara Savino, Costanza Conti, Federica Rizzi, Alice Casalino, Giulia Candiani, Francesca Memini, Luca Chiveri, Andrea Luigi Vitali, Massimo Corbo, Roberto Grasso, Florence Didier, Roberta Ferrucci, Gabriella Pravettoni
Publikováno v:
JMIR Formative Research, Vol 8, p e51021 (2024)
BackgroundChronic pain is one of the most common and critical long-term effects of breast cancer. Digital health technologies enhance the management of chronic pain by monitoring physical and psychological health status and supporting pain self-manag
Externí odkaz:
https://doaj.org/article/a446879e863e4bdd9edbe45dc26cda08
Classical linear metric learning methods have recently been extended along two distinct lines: deep metric learning methods for learning embeddings of the data using neural networks, and Bregman divergence learning approaches for extending learning E
Externí odkaz:
http://arxiv.org/abs/2005.02612
Autor:
Marianna Masiero, Chiara Filipponi, Silvia Francesca Maria Pizzoli, Elisabetta Munzone, Luca Guido, Vittorio Andrea Guardamagna, Sara Marceglia, Annamaria Caruso, Roberto Prandin, Marco Prenassi, Vania Manzelli, Chiara Savino, Costanza Conti, Federica Rizzi, Alice Casalino, Giulia Candiani, Francesca Memini, Luca Chiveri, Andrea Luigi Vitali, Massimo Corbo, Alessandra Milani, Roberto Grasso, Silvia Traversoni, Elisa Fragale, Florence Didier, Gabriella Pravettoni
Publikováno v:
JMIR Research Protocols, Vol 12, p e41216 (2023)
BackgroundChronic pain (CP) and its management are critical issues in the care pathway of patients with breast cancer. Considering the complexity of CP experience in cancer, the international scientific community has advocated identifying cutting-edg
Externí odkaz:
https://doaj.org/article/595f4f39713d40e5bef88540d1143d8d
Existing automatic music generation approaches that feature deep learning can be broadly classified into two types: raw audio models and symbolic models. Symbolic models, which train and generate at the note level, are currently the more prevalent ap
Externí odkaz:
http://arxiv.org/abs/1806.09905
Autor:
Davide Di Mauro, Chinthaka N Wijesurendere, Andrea Attanasio, Claudia A M Fulgenzi, Iyad Elkhuffash, Edoardo Ricciardi, Shahjehan Wajed, Antonio Manzelli
Publikováno v:
JGH Open, Vol 4, Iss 3, Pp 461-465 (2020)
Background and Aim Acute pancreatitis (AP) is a common disease, but data on outcomes in octogenarians are scarce in the literature. The aim of this study is to analyze results from patients aged 80 years old and over who were treated for AP at a sing
Externí odkaz:
https://doaj.org/article/33d76d8c50fe499a90e00ba9a67d23d2
Autor:
Gianguido Manzelli
Publikováno v:
Italiano LinguaDue, Vol 12, Iss 2 (2021)
L’articolo ha lo scopo di studiare gli elementi lessicali turchi nel campo semantico dei giochi di società e d’azzardo supposti essere prestiti dall’italiano o da altre varietà italo-romanze (come il veneziano e il genovese). Sono stati esami
Externí odkaz:
https://doaj.org/article/2c4248beb2b54e7c889b594743c46ac7
Autor:
Gregori, Matteo, Miccini, Michelangelo, Biacchi, Daniele, de Schoutheete, Jean-Charles, Bonomo, Luca, Manzelli, Antonio
Publikováno v:
In International Journal of Surgery January 2018 49:22-26
Autor:
Moody, Frank G., Bertrand, Claude, Johnson, Colin, van Lander, Aude, Carter, Ross, Conneely, John B., Berrevoet, Frederik, Sousa Silva, Donzília, Li, Zong-Fang, Lévy, Philippe, Oppong, Kofi, Gardner, Timothy B., Wilcox, C. Mel, French, Jeremy, Steer, Michael, Bradley, Edward L., III, Layer, Peter, Napoleon, Bertrand, Mosquera, Jorge Antonio, Gouma, D.J., Andersson, Roland, Manzelli, Antonio, Klaase, J.M., Falconi, Massimo, de-Madaria, Enrique, Casadei, Riccardo, Malleo, Giuseppe, Pezzilli, Raffaele, Malecka-Panas, Ewa, Lohr, Matthias, Mayerle, Julia, Rauws, Erik A.J., Freeman, Martin L., Ariffin, Affirul Chairil, Vasavada, Bhavin, Lai, Paul Bo-San, Beristain-Hernandez, Jose Luis, Juan, Álvarez, Plaudis, Haralds, Vrochides, Dionisios, Neri, Vincenzo, Velayutham, Vimalraj, Andrianov, Aleksey, Figueras, Joan, Soreide, Kjetil, Shcherba, Aliaksei, Gachabayov, Mahir, Keith, Roger G., Tsoulfas, Georgios, Fink, Michael Anthony, Crippa, Stefano, Nikfarjam, Mehrdad, Bora, Dibyajyoti, Desai, Rajendra, Donati, Marcello, Bong, Jan Jin, Martínez Moneo, Emma, Morris-Stiff, Gareth, Coker, Ahmet, de Resende, Alexandre Prado, Bhalerao, Suryabhan Sakhahari, Sikora, Sadiq S., Kelemen, Dezső, Czakó, László, Ramesh, Hariharan, Rummo, Oleg, Fedaruk, Aliaksei, Hlinnik, Alexey, Chinthakindi, Madhusudhan, Dumitrascu, Traian, Egorov, Vyacheslav, Bettschart, Vincent, Molinari, Michele, Guillermo, E. Aldana D., Orloff, Susan L., Kostov, Daniel Vasilev, Sulpice, Laurent, Knowles, Brett, Kimura, Yasutoshi, Marangoni, Gabriele, Joshi, Rajeev, Gyökeres, Tibor, Bedin, Vladimir, V., Ivanecz, Arpad, Antonucci, Adelmo, Omoshoro-Jones, Jones A.O., Nakache, Richard, Del Chiaro, Marco, Johnstone, Marianne, Saito, Tomoaki, Balzano, Gianpaolo, Chooklin, Serge, Boraschi, Piero, Park, Walter, Pereira, Pedro Nuno Valente Reis, Pagano, Nico, Lykoudis, Pavlos, Partecke, Lars Ivo, Siatkouski, Aliaksandr, Martín, Rosa Jorba, Kawabata, Yasunari, Lourenço, Luís Carvalho, Marra-Lopez, Carlos, Lee, Jun Kyu, Habbe, Nils, Verdonk, Robert C., Rabotyagova, Yliya, Talukdar, Rupjyoti, Frulloni, Luca, Galeev, Shamil, Berger, Zoltán, Yasuda, Takeo, Hackert, Thilo, Saatov, Ziyovuddin, Raptis, Dimitri Aristotle, Boadas, Jaume, Vitali, Francesco, Archibugi, Livia, Ryska, Miroslav, Tihanyi, Balazs, Singh, Vikesh K., Masamune, Atsushi, Yeaton, Paul, Smith, Kerrington D., Modi, Shrey, Cosen-Binker, Laura, Barreto, Savio George, Morandi, Eugenio, Valeri, Sergio, Morioka, Cintia Yoko, Lara, Luis F., Takeyama, Yoshifumi, Gress, Frank G., Yu, Young-Dong, Gaia, Ezio, Barbu, Sorin Traian, İnce, Ali Tüzün, Deeprasertvit, Akkraporn, Chang, Yu-Ting, Abiola, Stephen Olusola, Kacar, Sabite, Muscarella, Peter, II, Braat, Henri, Han, Samuel, Aghdassi, Ali A., Frossard, Jean-Louis, Smith, Jill P., Schwartz, M.P., van Dullemen, H.M., Venneman, N.G., Spanier, B.W.M., Kuiken, Sjoerd, van Geenen, Erwin, Beilman, Greg, Papachristou, Georgios, Chapa Azuela, Oscar, van der Schaar, P., Oruc, Nevin, Anten, Marie-Paule, Nealon, William H., García-Cano, Jesús, Jovani, Manol, Melki, Ziad, Ibrahim, Mustafa Mohammed Ahmed, Awajdarip, M.U., Azam, Mohammad, Sabu, K.G., Ermolaev, Igor, Shetty, Shiran, Oana, Belei, Pokrotnieks, Juris, Lazuchiewicz-Kot, Malgorzata, Bouali, Riadh, Winiarski, Marek, Schmitt, Marcus, Rimbas, Mihai, Meining, Alexander, Erwan, Bories, Meier, Peter N., Schoefl, Rainer, Altonbary, Ahmed Youssef, Marsteller, Igor, Wallstabe, Ingo, Prifti, Skerdi, Lemmers, Arnaud, Horvath, M., Kumar, Ajay, Palermo, Joseph J., Issa, Yama, van Santvoort, Hjalmar C., Fockens, Paul, Besselink, Marc G., Bollen, Thomas L., Bruno, Marco J., Boermeester, Marja A.
Publikováno v:
In HPB November 2017 19(11):978-985