Results 51 to 60 of about 96,228 (258)
AutoEncoder-based feature ranking for Alzheimer Disease classification using PET image
Machine Learning with Applications, 2021 This paper presents a method of ranking the effectiveness of brain region of interest (ROI) in order to separate Normal Control (NC) from Alzheimer’s disease (AD) brains Positron Emission Tomography (PET) images based on AutoEncoder (AE) networks ...
Pham Minh Tuan +4 more
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Combining feature ranking algorithms through rank aggregation [PDF]
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 The problem of combining multiple feature rankings into a more robust ranking is investigated. A general framework for ensemble feature ranking is proposed, alongside four instantiations of this framework using different ranking aggregation methods. An empirical evaluation using 39 UCI datasets, three different learning algorithms and three different ...
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Feature ranking in hoeffding algorithms for regression [PDF]
Proceedings of the Symposium on Applied Computing, 2017 Feature selection and feature ranking are two aspects of the same learning task. They are well studied in batch scenarios, but not in the streaming setting. This paper presents a study on feature ranking from data streams in online learning regression models. The main challenge here is the relevance of features might change over time: features relevant
João Duarte, João Gama 0001
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Energy Conservation in Wireless Sensor Networks Using Partly-Informed Sparse Autoencoder
IEEE Access, 2019 The energy in wireless sensor networks is considered a scarce commodity, especially in scenarios where it is difficult or impossible to provide supplementary energy sources once the initially available energy is used up.
Babajide O. Ayinde, Abdulaziz Y. Barnawi
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
Complex & Intelligent SystemsFeature selection is a common method for improving classification performance. Selecting features for high-dimensional data is challenging due to the large search space.
Jiayi Li, Fan Zhang, Jianbin Ma
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A Combination of Traditional and Polarimetric Features for Oil Spill Detection Using TerraSAR-X
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the marine environment, as they are independent of sun light and weather-induced phenomena.
Suman Singha +3 more
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IEEE Access, 2022 The online retrieval of clothes-related images is crucial because finding the exact items, like the query image from a large amount of data, is highly challenging.
Marryam Murtaza +5 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source