Zobrazeno 1 - 10
of 692
pro vyhledávání: '"Berkovsky A"'
Publikováno v:
Разработка и регистрация лекарственных средств, Vol 13, Iss 3, Pp 138-145 (2024)
Introduction. The data on the wide clinical use of low-molecular-weight heparin (LMWH) preparations are presented, necessitating the need for efficient and high-quality production of appropriate pharmaceuticals. The revealed variability of anticoagul
Externí odkaz:
https://doaj.org/article/f6b56823a5b3413a9ad2e6fb7797bf11
Autor:
Chitnis, Soham Rohit, Liu, Sidong, Dash, Tirtharaj, Verlekar, Tanmay Tulsidas, Di Ieva, Antonio, Berkovsky, Shlomo, Vig, Lovekesh, Srinivasan, Ashwin
Publikováno v:
Annu Int Conf IEEE Eng Med Biol Soc (EMBC 2023)
Whole Slide Images (WSIs) or histopathology images are used in digital pathology. WSIs pose great challenges to deep learning models for clinical diagnosis, owing to their size and lack of pixel-level annotations. With the recent advancements in comp
Externí odkaz:
http://arxiv.org/abs/2302.09833
Autor:
Tag, Benjamin, van Berkel, Niels, Verma, Sunny, Zhao, Benjamin Zi Hao, Berkovsky, Shlomo, Kaafar, Dali, Kostakos, Vassilis, Ohrimenko, Olga
Artificial Intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient. However, such systems are also at constant risk of being attacked. While the majority of attacks targeting A
Externí odkaz:
http://arxiv.org/abs/2212.03980
Autor:
Cong, Cong, Liu, Sidong, Rana, Priyanka, Pagnucco, Maurice, Di Ieva, Antonio, Berkovsky, Shlomo, Song, Yang
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
Autor:
Caterina Bérubé, Marcia Nißen, Rasita Vinay, Alexa Geiger, Tobias Budig, Aashish Bhandari, Catherine Rachel Pe Benito, Nathan Ibarcena, Olivia Pistolese, Pan Li, Abdullah Bin Sawad, Elgar Fleisch, Christoph Stettler, Bronwyn Hemsley, Shlomo Berkovsky, Tobias Kowatsch, A. Baki Kocaballi
Publikováno v:
Computers in Human Behavior Reports, Vol 14, Iss , Pp 100411- (2024)
Voice assistants (VAs) are increasingly integrated into everyday activities and tasks, raising novel challenges for users and researchers. One emergent research direction concerns proactive VAs, who can initiate interaction without direct user input,
Externí odkaz:
https://doaj.org/article/dad499218ce14105a1d79003eabdcc68
Smartphone technology has drastically improved over the past decade. These improvements have seen the creation of specialized health applications, which offer consumers a range of health-related activities such as tracking and checking symptoms of he
Externí odkaz:
http://arxiv.org/abs/2107.13754
Autor:
Bérubé, Caterina, Nißen, Marcia, Vinay, Rasita, Geiger, Alexa, Budig, Tobias, Bhandari, Aashish, Pe Benito, Catherine Rachel, Ibarcena, Nathan, Pistolese, Olivia, Li, Pan, Sawad, Abdullah Bin, Fleisch, Elgar, Stettler, Christoph, Hemsley, Bronwyn, Berkovsky, Shlomo, Kowatsch, Tobias, Kocaballi, A. Baki
Publikováno v:
In Computers in Human Behavior Reports May 2024 14
Autor:
Rezazadegan, Dana, Berkovsky, Shlomo, Quiroz, Juan C., Kocaballi, A. Baki, Wang, Ying, Laranjo, Liliana, Coiera, Enrico
Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from information technology to health care, for example improving speech archives
Externí odkaz:
http://arxiv.org/abs/2008.11897
Autor:
Wang, Shoujin, Cao, Longbing, Hu, Liang, Berkovsky, Shlomo, Huang, Xiaoshui, Xiao, Lin, Lu, Wenpeng
A transaction-based recommender system (TBRS) aims to predict the next item by modeling dependencies in transactional data. Generally, two kinds of dependencies considered are intra-transaction dependency and inter-transaction dependency. Most existi
Externí odkaz:
http://arxiv.org/abs/2006.04530
Autor:
Quiroz, Juan C, Laranjo, Liliana, Tufanaru, Catalin, Kocaballi, Ahmet Baki, Rezazadegan, Dana, Berkovsky, Shlomo, Coiera, Enrico
Publikováno v:
International Journal of Medical Informatics (2020), 104324
Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. This paper empirically analyses whether text in medical discharge reports follow Zipf's law, a commonly assumed statistical property of
Externí odkaz:
http://arxiv.org/abs/2003.13352