Results 21 to 30 of about 279,520 (289)
Applied Sciences, 2021 Environmental Sound Recognition has become a relevant application for smart cities. Such an application, however, demands the use of trained machine learning classifiers in order to categorize a limited set of audio categories. Although classical machine
Lancelot Lhoest +6 more
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Longitudinal performance analysis of machine learning based Android malware detectors [PDF]
, 2019 This paper presents a longitudinal study of the performance of machine learning classifiers for Android malware detection. The study is undertaken using features extracted from Android applications first seen between 2012 and 2016.
Khan, Sarmadullah, Yerima, Suleiman
core +1 more source
Exploiting `Subjective' Annotations [PDF]
, 2008 Many interesting phenomena in conversation can only be annotated as a subjective task, requiring interpretative judgements from annotators. This leads to data which is annotated with lower levels of agreement not only due to errors in the annotation, but
Akker, Rieks op den, Reidsma, Dennis
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Machine learning techniques for classifying dangerous asteroids
MethodsX, 2023 There is an infinite number of objects in outer space, and these objects and asteroids might be harmful. Hence, it is wise to know what is surrounding us and what can harm us amongst those. Therefore, in this article, with the hyperparameters tuning of Extra Tree, Random Forest, Light Gradient Boosting Machine, Gradient Boosting, and Ada Boost, the ...
Seyed Matin Malakouti +2 more
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Ensemble positive unlabeled learning for disease gene identification. [PDF]
PLoS ONE, 2014 An increasing number of genes have been experimentally confirmed in recent years as causative genes to various human diseases. The newly available knowledge can be exploited by machine learning methods to discover additional unknown genes that are likely
Peng Yang +4 more
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Classification of Virtual Private networks encrypted traffic using ensemble learning algorithms
Egyptian Informatics Journal, 2022 Virtual Private Networks (VPNs) are one example of encrypted communication services commonly used to bypass censorship and access geographically locked services.
Ammar Almomani
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Scientific Reports, 2022 One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning.
N. Schetakis +3 more
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IEEE Access, 2023 Retinopathy of prematurity (ROP) is a vasoproliferative retinal disease that affects premature infants and causes permanent blindness if left untreated.
V. M. Raja Sankari +3 more
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Simple Learning Classifier Machine
Engineering and Technology Journal, 2010 A learning classifier system is one of the methods for applying a genetic-basedapproach to machine learning applications. An enhanced version of the system thatemploys the Bucket-brigade algorithm to reward individuals in a chain of co-operatingrules is implemented and assigned the task of learning rules for classifying simpleobjects.
Lubna Bashir, Hind .A.Alrazzaq
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Interactive machine learning: letting users build classifiers [PDF]
International Journal of Human-Computer Studies, 2001 Summary: According to standard procedure, building a classifier using machine learning is a fully automated process that follows the preparation of training data by a domain expert. In contrast, interactive machine learning engages users in actually generating the classifier themselves. This offers a natural way of integrating background knowledge into
Ware, Malcolm +4 more
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