Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Habiboulaye Amadou Boubacar"'
Publikováno v:
IoT and Big Data Technologies for Health Care ISBN: 9783031335440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3196b6402bd79cf7f659efc67ab6e28
https://doi.org/10.1007/978-3-031-33545-7_1
https://doi.org/10.1007/978-3-031-33545-7_1
Publikováno v:
i-com. 19:227-237
Inefficient interaction such as long and/or repetitive questionnaires can be detrimental to user experience, which leads us to investigate the computation of an intelligent questionnaire for a prediction task. Given time and budget constraints (maxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83a4614ffe42bfcb674804c06ea677de
https://doi.org/10.1515/icom-2020-0022
https://doi.org/10.1515/icom-2020-0022
Autor:
Mehdi Rahim, Habiboulaye Amadou Boubacar, Sylvie Bothorel, Juan Fernando Ramirez-Gil, Spyridon Montesantos, Cécile Delval, Gisele Al-Hamoud
Publikováno v:
Intelligence-Based Medicine. 5:100044
Heart failure (HF) is among the leading causes of death. Its prevalence is increasing dramatically causing considerable healthcare costs as well. Remote patient monitoring (RPM) is one of the solutions to enhance patient well-being. Taking advantage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc0bef4aeec57b11c449403e6d5c9e0e
https://doi.org/10.1016/j.ibmed.2021.100044
https://doi.org/10.1016/j.ibmed.2021.100044
Publikováno v:
Rehabilitation and Chronic Care.
Introduction: Recent advances in Machine Learning (M.L.) could be valuable to predict hospitalisations. Severe Chronic Obstructive Pulmonary Disease (COPD) is associated with high hospitalisation rate. Objective: To develop predictive models using M.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7e05ea74b06a46d9a42e2d47d0dfe2e
https://doi.org/10.1183/1393003.congress-2017.pa2006
https://doi.org/10.1183/1393003.congress-2017.pa2006
Publikováno v:
Rehabilitation and Chronic Care.
Introduction: Early detection of exacerbations in Chronic Obstructive Pulmonary Disease (COPD) is a research challenge. Objective: Evaluate a machine learning (M.L.) approach for detection of COPD exacerbations and identification of the most relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aae4d9c210a3d194fffe87fb7e1c89e4
https://doi.org/10.1183/1393003.congress-2017.pa3461
https://doi.org/10.1183/1393003.congress-2017.pa3461
Publikováno v:
Neural Networks. 21:1287-1301
This paper presents a new online clustering algorithm called SAKM (Self-Adaptive Kernel Machine) which is developed to learn continuously evolving clusters from non-stationary data. Based on SVM and kernel methods, the SAKM algorithm uses a fast adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7da211ff41b8f73362554a270d98db39
https://doi.org/10.1016/j.neunet.2008.03.016
https://doi.org/10.1016/j.neunet.2008.03.016
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 3211249346
7th International Conference on Adaptive and Natural Computing Algorithms
7th International Conference on Adaptive and Natural Computing Algorithms, Mar 2005, Coimbra, Portugal
7th International Conference on Adaptive and Natural Computing Algorithms
7th International Conference on Adaptive and Natural Computing Algorithms, Mar 2005, Coimbra, Portugal
In the context of evolutionary data classification, dynamical modeling techniques are useful to continuously learn clusters models. Dedicated to on-line clustering, the AUDyC (Auto-adaptive and Dynamical Clustering) algorithm is an unsupervised neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2539484d9caa75c3f16394539df4233f
https://doi.org/10.1007/3-211-27389-1_37
https://doi.org/10.1007/3-211-27389-1_37
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
International Conference on Artificial Neural Networks
International Conference on Artificial Neural Networks, Sep 2005, Warsaw, Poland
ICANN (2)
International Conference on Artificial Neural Networks
International Conference on Artificial Neural Networks, Sep 2005, Warsaw, Poland
This paper presents a kernel-based clustering algorithm called SAKM (Self-Adaptive Kernel Machine) that is developed to learn continuously evolving clusters from non-stationary data. Dedicated to online clustering in multi-class environment, this alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::619fcff1ed6766b4820eecc1b5aade34
https://doi.org/10.1007/11550907_92
https://doi.org/10.1007/11550907_92