Results 11 to 20 of about 1,373,879 (350)

Towards Lightweight URL-Based Phishing Detection

open access: yesFuture Internet, 2021
Nowadays, the majority of everyday computing devices, irrespective of their size and operating system, allow access to information and online services through web browsers.
Andrei Butnaru   +2 more
doaj   +1 more source

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
Online class-incremental continual learning (CL) studies the problem of learning new classes continually from an online non-stationary data stream, intending to adapt to new data while mitigating catastrophic forgetting.
Zheda Mai   +3 more
semanticscholar   +1 more source

Modeling Battery Energy Storage Systems Based on Remaining Useful Lifetime through Regression Algorithms and Binary Classifiers

open access: yesApplied Sciences, 2023
This research work implements an initial methodology for the assessment of Battery Energy Storage Systems (BESSs) based on Remaining Useful Lifetime (RUL), and its main contribution is the modeling and estimation of Health and Charge indicators through ...
Rolando Gilbert Zequera   +4 more
doaj   +1 more source

The preposition potential in formation of conjunctional means [PDF]

open access: yesJužnoslovenski Filolog, 2014
In the article the ability of preposition to form conjunction or its equivalent has been considered. The mechanism of denominalization has been shown on the Russian material with the involvement of the author’s observations on prepositions in ...
Konjuškevič Marija I.
doaj   +1 more source

Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset [PDF]

open access: yesResearch Ideas and Outcomes, 2017
We designed a modular machine learning program that uses functional magnetic resonance imaging (fMRI) data in order to distinguish individuals with autism spectrum disorders from neurodevelopmentally normal individuals.
Swati Rane   +4 more
doaj   +2 more sources

Effect of Vibration on the Porosity and Strength of Instant Drink Granules

open access: yesТехника и технология пищевых производств, 2022
Instant food products are extremely popular, and food industry knows numerous ways and methods of their production. To remain competitive, an instant drink production process should be efficient and flawless.
Anatoliy M. Popov   +5 more
doaj   +1 more source

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
In this work, we present a method for unsupervised domain adaptation. Many adversarial learning methods train domain classifier networks to distinguish the features as either a source or target and train a feature generator network to mimic the ...
Kuniaki Saito   +3 more
semanticscholar   +1 more source

The multiscale classifier [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
In this paper we propose a rule-based inductive learning algorithm called Multiscale Classification (MSC). It can be applied to any N-dimensional real or binary classification problem to classify the training data by successively splitting the feature space in half.
Brian C. Lovell, Andrew P. Bradley
openaire   +3 more sources

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website [PDF]

open access: yesNeuroImage, 2019
The electroencephalogram (EEG) provides a non-invasive, minimally restrictive, and relatively low-cost measure of mesoscale brain dynamics with high temporal resolution. Although signals recorded in parallel by multiple, near-adjacent EEG scalp electrode
L. Pion-Tonachini   +2 more
semanticscholar   +1 more source

Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants

open access: yesFrontiers in Cardiovascular Medicine, 2022
ObjectiveTo develop an optimal screening model to identify the individuals with a high risk of hypertension in China by comparing tree-based machine learning models, such as classification and regression tree, random forest, adaboost with a decision tree,
Weidong Ji   +4 more
doaj   +1 more source

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