Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Imen Chakroun"'
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-12 (2022)
D’Hondt et al. perform a qualitative and quantitative study on the implementation of machine learning (ML) in the intensive care unit (ICU). The authors interview hospital- and industry-based stakeholders to understand barriers in ML implementation
Externí odkaz:
https://doaj.org/article/48bb73487d6f46a7a0a54e39f2d90431
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95568f3e29e9ab4a99b39673e4560c69
https://doi.org/10.1109/icmla55696.2022.00049
https://doi.org/10.1109/icmla55696.2022.00049
Publikováno v:
2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e5e5a618f1e8159ac67e1cf4aec50cb
https://doi.org/10.1109/gcaiot53516.2021.9692980
https://doi.org/10.1109/gcaiot53516.2021.9692980
Publikováno v:
Communications medicine. 2(1)
Despite apparent promise and the availability of numerous examples in the literature, machine learning models are rarely used in practice in ICU units. This mismatch suggests that there are poorly understood barriers preventing uptake, which we aim t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d4a46bfb441e9010a91c04c7cea86f
https://pubmed.ncbi.nlm.nih.gov/36543940
https://pubmed.ncbi.nlm.nih.gov/36543940
Publikováno v:
CLOUD
Object detection plays an important role in many artificial intelligence applications such as autonomous driving and video surveillance. However, running object detection models on small edge devices remains computationally expensive and time consumi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e881e86c45c756b2c9c7b70047dfe84
https://doi.org/10.1109/cloud53861.2021.00087
https://doi.org/10.1109/cloud53861.2021.00087
Autor:
Sandip Halder, Wilfried Verachtert, Roel Wuyts, Thomas J. Ashby, Philippe Leray, Sayantan Das, Imen Chakroun
Publikováno v:
Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV
Further application of machine learning is important for the future development of semiconductor fabrication. Machine learning relies on access to large, detailed datasets. When different parts of the data are owned by different companies who do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87bd894f073142aba7225f480f6416e4
https://doi.org/10.1117/12.2584893
https://doi.org/10.1117/12.2584893
Publikováno v:
Journal of computational science
Journal of computational science, Elsevier, 2020, 44, pp.101168. ⟨10.1016/j.jocs.2020.101168⟩
Journal of computational science, 2020, 44, pp.101168. ⟨10.1016/j.jocs.2020.101168⟩
Journal of computational science, Elsevier, 2020, 44, pp.101168. ⟨10.1016/j.jocs.2020.101168⟩
Journal of computational science, 2020, 44, pp.101168. ⟨10.1016/j.jocs.2020.101168⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aec89f87250a7ef70131d3b4d1a3f502
https://hal.inria.fr/hal-02919422
https://hal.inria.fr/hal-02919422
Publikováno v:
AICAS
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust against overfitting. Yet BMF is more computationally intensive and thus more challenging to implement for la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7421c9a71d30603399d87da15021beea
https://doi.org/10.1109/aicas.2019.8771607
https://doi.org/10.1109/aicas.2019.8771607
Publikováno v:
BIBM
CellProfiler excels at bridging the gap between advanced image analysis algorithms and scientists who lack computational expertise. It lacks however high performance capabilities needed for High Throughput Imaging experiments where workloads reach hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a93f2f390ebae0a61fd89fee31fcc5
https://doi.org/10.1109/bibm.2018.8621271
https://doi.org/10.1109/bibm.2018.8621271
Publikováno v:
HPCS
Searching a solution space using Stochastic Gradient Descent (SGD) depends on the examples picked at each iteration of the algorithm. Therefore, best practices suggest randomizing the order of training points to visit after every epoch. This random s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b17babde9d65aedb03a36193f1496a4
https://doi.org/10.1109/hpcs.2018.00171
https://doi.org/10.1109/hpcs.2018.00171