Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kaoutar Ben Ahmed"'
Publikováno v:
IEEE Access, Vol 10, Pp 78726-78738 (2022)
When a learned model has high accuracy under familiar settings (internal testing) and a big drop in accuracy under slightly different circumstances (external testing) we suspect it is using shortcuts to make decisions. This problem is known as shortc
Externí odkaz:
https://doaj.org/article/16171987368e4b53b22ab18acd3f86e4
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification
Publikováno v:
IEEE Access, Vol 9, Pp 72970-72979 (2021)
A number of recent papers have shown experimental evidence that suggests it is possible to build highly accurate deep neural network models to detect COVID-19 from chest X-ray images. In this paper, we show that good generalization to unseen sources
Externí odkaz:
https://doaj.org/article/a3ff791f2098417e9a50d9fda9ba332a
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 345 (2022)
Glioma is the most common type of primary malignant brain tumor. Accurate survival time prediction for glioma patients may positively impact treatment planning. In this paper, we develop an automatic survival time prediction tool for glioblastoma pat
Externí odkaz:
https://doaj.org/article/ce7f5ce791c348a0b1022c3dcc31d302
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:3303-3312
In this paper, we explore the feasibility of leveraging the accelerometer and gyroscope sensors in modern smartphones to detect instances of distracted driving activities (e.g., calling, texting, and reading while driving). To do so, we conducted an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b96c72426fc3607ed73646301d22ec8a
https://doi.org/10.1109/tits.2018.2873972
https://doi.org/10.1109/tits.2018.2873972
Publikováno v:
SMC
Here we investigate the application of convolutional neural networks (CNNs) to predict the survival time of patients with Glioblastoma Multiforme (GBM) brain tumor. Our dataset consists of T1-weighted high-resolution MRI images of just 68 GBM patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c27cb396dfc72fe09842a85ff72567ab
https://doi.org/10.1109/smc.2019.8913929
https://doi.org/10.1109/smc.2019.8913929
Publikováno v:
International Journal of Computer Applications. 152:20-27
A city‘s ―smartness‖ depends greatly on citizens‘ participation in smart city services. Furthermore, citizens are becoming technology-oriented in every aspect concerning their convenience, comfort and safety. Thus, they become sensing nodes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ef3d8d6e16f13240cd0453d30d52a92
https://doi.org/10.5120/ijca2016911880
https://doi.org/10.5120/ijca2016911880
Publikováno v:
PerCom Workshops
In this paper, we attempt to detect instances of distracted driving using a wrist-worn wearable embedded with an accelerometer and a gyroscope. In our experimental study, 16 adult participants were asked to drive a driving simulator that is equipped
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c203a2d58bbfe8bc74d7e7d7959f30b
https://doi.org/10.1109/percomw.2018.8480282
https://doi.org/10.1109/percomw.2018.8480282
Autor:
Kevin W. Bowyer, Robert A. Gatenby, Dmitry B. Goldgof, Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu
Publikováno v:
SMC
Real-world datasets are often imbalanced, with an important class having many fewer examples than other classes. In medical data, normal examples typically greatly outnumber disease examples. A classifier learned from imbalanced data, will tend to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18e4d24182dd9e0c09372d9df2111f9
https://doi.org/10.1109/smc.2017.8122802
https://doi.org/10.1109/smc.2017.8122802
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Prediction of survival time from brain tumor magnetic resonance images (MRI) is not commonly performed and would ordinarily be a time consuming process. However, current cross-sectional imaging techniques, particularly MRI, can be used to generate ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5b7e3656d2d8134aaa424396d91d9b1
https://doi.org/10.1117/12.2253982
https://doi.org/10.1117/12.2253982
Publikováno v:
CIST
Internet of things and social media platforms have changed the way people communicate and express themselves. People are now sharing their experiences and views in blogs, micro-blogs, comments, photos, videos, and other postings in social sites. It h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c10c1d53d26691cf554ac1024a5228bd
https://doi.org/10.1109/cist.2016.7804997
https://doi.org/10.1109/cist.2016.7804997