Zobrazeno 1 - 10
of 546
pro vyhledávání: '"Demosthenous P"'
Autor:
Zhi, Zhuo, Liu, Ziquan, Elbadawi, Moe, Daneshmend, Adam, Orlu, Mine, Basit, Abdul, Demosthenous, Andreas, Rodrigues, Miguel
Multimodal machine learning with missing modalities is an increasingly relevant challenge arising in various applications such as healthcare. This paper extends the current research into missing modalities to the low-data regime, i.e., a downstream t
Externí odkaz:
http://arxiv.org/abs/2403.09428
Autor:
Zhi, Zhuo, Elbadawi, Moe, Daneshmend, Adam, Orlu, Mine, Basit, Abdul, Demosthenous, Andreas, Rodrigues, Miguel
Anemia is a prevalent medical condition that typically requires invasive blood tests for diagnosis and monitoring. Electronic health records (EHRs) have emerged as valuable data sources for numerous medical studies. EHR-based hemoglobin level/anemia
Externí odkaz:
http://arxiv.org/abs/2401.12002
Autor:
Fangqi Liu, Maryam Habibollahi, Yu Wu, Nazanin Neshatvar, Jiaxing Zhang, Ciro Zinno, Outman Akouissi, Fabio Bernini, Lisa Alibrandi, Khatia Gabisonia, Vincenzo Lionetti, Jacopo Carpaneto, Henry Lancashire, Dai Jiang, Silvestro Micera, Andreas Demosthenous
Publikováno v:
Bioelectronic Medicine, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Background Implantable vagus nerve stimulation is a promising approach for restoring autonomic cardiovascular functions after heart transplantation. For successful treatment a system should have multiple electrodes to deliver precise stimula
Externí odkaz:
https://doaj.org/article/2f82aac0879c4ce1b67d37d007c949b3
Autor:
Thomas Chatzikonstantinou, Lydia Scarfò, Eva Minga, Georgios Karakatsoulis, Dimitra Chamou, Jana Kotaskova, Gloria Iacoboni, Christos Demosthenous, Elisa Albi, Miguel Alcoceba, Salem Al‐Shemari, Thérèse Aurran‐Schleinitz, Francesca Bacchiarri, Sofia Chatzileontiadou, Rosa Collado, Zadie Davis, Marcos Daniel deDeus Santos, Maria Dimou, Elena Dmitrieva, David Donaldson, Gimena Dos Santos, Barbara Dreta, Maria Efstathopoulou, Shaimaa El‐Ashwah, Alicia Enrico, Andrzej Frygier, Sara Galimberti, Andrea Galitzia, Eva Gimeno, Valerio Guarente, Romain Guieze, Sean Harrop, Eleftheria Hatzimichael, Yair Herishanu, José‐Ángel Hernández‐Rivas, Ozren Jaksic, Elżbieta Kalicińska, Kamel Laribi, Volkan Karakus, Arnon P. Kater, Bonnie Kho, Maria Kislova, Εliana Konstantinou, Maya Koren‐Michowitz, Ioannis Kotsianidis, Zuzana Kubova, Jorge Labrador, Deepesh Lad, Luca Laurenti, Thomas Longval, Alberto Lopez‐Garcia, Juan Marquet, Stanislava Maslejova, Carlota Mayor‐Bastida, Biljana Mihaljevic, Ivana Milosevic, Fatima Miras, Riccardo Moia, Marta Morawska, Uttam K. Nath, Almudena Navarro‐Bailón, Jacopo Olivieri, Irina Panovska‐Stavridis, Maria Papaioannou, Cheyenne Pierie, Anna Puiggros, Gianluigi Reda, Gian M. Rigolin, Rosa Ruchlemer, Mattia Schipani, Annett Schiwitza, Yandong Shen, Tereza Shokralla, Martin Simkovic, Svetlana Smirnova, Dina S. A. Soliman, Stephan Stilgenbauer, Tamar Tadmor, Kristina Tomic, Eric Tse, Theodoros Vassilakopoulos, Andrea Visentin, Candida Vitale, George Vrachiolias, Vojin Vukovic, Renata Walewska, Zhenshu Xu, Munci Yagci, Lucrecia Yañez, Mohamed Yassin, Jana Zuchnicka, David Oscier, Alessandro Gozzetti, Panagiotis Panagiotidis, Francesc Bosch, Paolo Sportoletti, Blanca Espinet, Gerassimos A. Pangalis, Viola M. Popov, Stephen Mulligan, Maria Angelopoulou, Fatih Demirkan, Tomas Papajík, Bella Biderman, Roberta Murru, Marta Coscia, Constantine Tam, Antonio Cuneo, Gianluca Gaidano, Rainer Claus, Niki Stavroyianni, Livio Trentin, Darko Antic, Lukas Smolej, Olga B. Kalashnikova, Mark Catherwood, Martin Spacek, Sarka Pospisilova, Michael Doubek, Eugene Nikitin, Anastasia Chatzidimitriou, Paolo Ghia, Kostas Stamatopoulos
Publikováno v:
HemaSphere, Vol 8, Iss 9, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/0fdf2b111863452fa0b7963e1e2e920a
This paper presents a novel approximation unit added to the conventional spike processing chain which provides an appreciable reduction of complexity of the high-hardware cost feature extractors. The use of the Taylor polynomial is proposed and model
Externí odkaz:
http://arxiv.org/abs/2204.13463
Autor:
Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
Publikováno v:
IEEE Access, Vol 12, Pp 144837-144854 (2024)
Predicting a patient’s hemoglobin level or degree of anemia using Electronic Health Records (EHRs) is a non-invasive and rapid approach. However, it presents challenges due to the irregular multivariate time series nature of EHRs, which often conta
Externí odkaz:
https://doaj.org/article/8f95ccac07a04cdf867b9d7a4243c013
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 141-152 (2024)
This paper describes a supervised speech enhancement (SE) method utilising a noise-aware four-layer deep neural network and training target switching. For optimal speech denoising, the SE system, trained with multiple-target joint learning, switches
Externí odkaz:
https://doaj.org/article/629751578c634b40b182822b3723c2a9
Deploying sophisticated deep learning models on embedded devices with the purpose of solving real-world problems is a struggle using today's technology. Privacy and data limitations, network connection issues, and the need for fast model adaptation a
Externí odkaz:
http://arxiv.org/abs/2105.01946
Publikováno v:
eLife, Vol 12 (2024)
Breakdown of neuromuscular junctions (NMJs) is an early pathological hallmark of amyotrophic lateral sclerosis (ALS) that blocks neuromuscular transmission, leading to muscle weakness, paralysis and, ultimately, premature death. Currently, no therapi
Externí odkaz:
https://doaj.org/article/29a9cafbb2124195b8d4694cfb95baf1
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