Results 11 to 20 of about 27,398 (301)
Transferring CNN Features Maps to Ensembles of Explainable Neural Networks
Information, 2023 The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data.
Guido Bologna
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Entropy-Based Bagging for Fault Prediction of Transformers Using Oil-Dissolved Gas Data
Energies, 2011 The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers ...
Weigen Chen +4 more
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Development and Evaluation of Ensemble Learning Models for Detection of DDOS Attacks in IoT
Hittite Journal of Science and Engineering, 2022 Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk.
Selim Buyrukoğlu, Yıldıran Yılmaz
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Head & Face Medicine, 2010 Eyelid bags are considered a sign of ageing, but they often appear prematurely due to the variety of causes that favor them. This brief report describes the case of a patient who was referred to us for the correction of a second degree bilateral palpebral ptosis that the patient had suffered from for several years and that in recent months had worsened
Inchingolo F. +7 more
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Performance Analysis of Classification Algorithms on Birth Dataset
IEEE Access, 2020 Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine learning is wide ranging including industries, healthcare ...
Syed Ali Abbas +6 more
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Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning
IEEE Access, 2020 Deep neural networks (DNNs) require a large amount of manually labeled training data to make significant achievements. However, manual labeling is laborious and costly.
Juae Kim, Youngjoong Ko, Jungyun Seo
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Effect of Different Fruit Bags on Fruit Quality of 'Cuiguan' Pear
Guangdong nongye kexue, 2023 【Objective】By comparing the quality of 'Cuiguan' pear fruits under five different bag treatments, from which the bag that can improve the appearance quality of fruits and has less impact on the internal quality of the fruits was selected, with an aim to ...
Jinghan FENG +5 more
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Airway pressure changes during "bag squeezing"
South African Journal of Physiotherapy, 1980 Pressure data during controlled ventilation on a ventilator, "bagging” and slow “bagging” are reviewed. The technique for effective “bagging” is suggested.
I. Hack, A. Katz, C. Eales
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RolexBoost: A Rotation-Based Boosting Algorithm With Adaptive Loss Functions
IEEE Access, 2020 We propose a new ensemble algorithm, called RolexBoost (Rotation-Flexible AdaBoost) that can not only secure diversity within an ensemble by rotating the feature axes in conjunction with performing the random subspace method for each bootstrap sample ...
Dong-Hyuk Yang +2 more
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Sensors, 2022 The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the whale
Xuhao Li +5 more
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