Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Fabian Lecron"'
Publikováno v:
Applied Intelligence. 53:532-541
Publikováno v:
International Journal of Entrepreneurial Behavior & Research. 29:886-912
PurposeArtificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models fr
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0215720 (2019)
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that has heavy consequences on a child's wellbeing, especially in the academic, psychological and relational planes. The current evaluation of the disorder is supported
Externí odkaz:
https://doaj.org/article/cf19de212beb47129a38994405887e10
Autor:
Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Mohammed Amine Larhmam, Fabian Lecron
Publikováno v:
Journal of Science and Technology of the Arts, Vol 10, Iss 2 (2018)
The last few years have been strongly marked by the presence of multimedia data (images and videos) in our everyday lives. These data are characterized by a fast frequency of creation and sharing since images and videos can come from different device
Externí odkaz:
https://doaj.org/article/73e18574a73840b5b3c9290ed1638d62
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Expert Systems with Applications. 118:300-314
Data mining continues to play an important role in medicine; specifically, for the development of diagnosis aid models used in expert and intelligent systems. Although we can find abundant research on this topic, clinicians remain reluctant to use de
Publikováno v:
SAC
In this paper, we focus on the resource perspective in the context of process mining. Most process mining techniques focus on the control-flow to uncover problems related to performance or compliance. However, the behavior of resources (e.g., employe
Autor:
Fabian Lecron, François Fouss
Publikováno v:
Data Mining and Knowledge Discovery. 32:651-674
This paper suggests a convex regularized optimization model to produce recommendations, which is adaptable, fast, and scalable—while remaining very competitive to state-of-the-art methods in terms of accuracy. We introduce a regularizer based on th
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
We propose a medical image segmentation approach based on the Active Shape Model theory. We apply this method for cervical vertebra detection. The main advantage of this approach is the application of a statistical model created after a training stag
Externí odkaz:
https://doaj.org/article/4c425c7aca02412896eee144656880bc
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
The context of this work is related to the vertebra segmentation. The method we propose is based on the active shape model (ASM). An original approach taking advantage of the edge polygonal approximation was developed to locate the vertebra positions
Externí odkaz:
https://doaj.org/article/829f4f1126fb4efcb623062d736d3cd5