Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Alaa Tharwat"'
Autor:
Alaa Tharwat
Publikováno v:
Applied Computing and Informatics, Vol 17, Iss 2, Pp 222-249 (2021)
Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details. Therefore, in this paper, the basi
Externí odkaz:
https://doaj.org/article/a319f999758d45eeaaab3c3fefac72ac
Autor:
Alaa Tharwat
Publikováno v:
Applied Computing and Informatics, Vol 17, Iss 1, Pp 168-192 (2021)
Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The analysis of such metrics and its significance must be interpreted correctly for evalua
Externí odkaz:
https://doaj.org/article/0ebc959172664b50b8a996e7ff787db6
Autor:
Alaa Tharwat, Wolfram Schenck
Publikováno v:
Mathematics, Vol 11, Iss 4, p 820 (2023)
Despite the availability and ease of collecting a large amount of free, unlabeled data, the expensive and time-consuming labeling process is still an obstacle to labeling a sufficient amount of training data, which is essential for building supervise
Externí odkaz:
https://doaj.org/article/7fb998e9d1b3419c9926b00629bbb98a
Autor:
Alaa Tharwat, Wolfram Schenck
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1068 (2022)
Despite the availability of a large amount of free unlabeled data, collecting sufficient training data for supervised learning models is challenging due to the time and cost involved in the labeling process. The active learning technique we present h
Externí odkaz:
https://doaj.org/article/37e84657fa9c47f0959eeb241e96333e
Autor:
Alaa Tharwat Othman
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
Biometrics is an automated method of recognizing a person based on a physiological (e.g. face, iris, or retina) or behavioral (e.g. gait, signature, or dynamic keystrokes) characteristics. Ear recognition is one of the physiological biometrics' types
Externí odkaz:
https://doaj.org/article/d9aa406197e4405481e5cba9ba7c7b77
Autor:
Alaa Tharwat
Publikováno v:
Applied Computing and Informatics. 17:222-249
Independent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box, without understanding its internal details. Therefore, in this paper, the basi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d83e162c41dbac495acf7de68638b745
https://doi.org/10.1016/j.aci.2018.08.006
https://doi.org/10.1016/j.aci.2018.08.006
Autor:
Alaa Tharwat
Publikováno v:
Applied Computing and Informatics. 17:168-192
Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The analysis of such metrics and its significance must be interpreted correctly for evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39f86a0fe1dfe23f453312ed8cf1e44
https://doi.org/10.1016/j.aci.2018.08.003
https://doi.org/10.1016/j.aci.2018.08.003
Autor:
Thomas Gabel, Alaa Tharwat
Publikováno v:
Neural Computing and Applications. 32:6925-6938
The parameters of support vector machines (SVMs) such as kernel parameters and the penalty parameter have a great influence on the accuracy and complexity of the classification models. In the past, different evolutionary optimization algorithms were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f6753b47dc86ae60ae1ee72a28f63f
https://doi.org/10.1007/s00521-019-04159-z
https://doi.org/10.1007/s00521-019-04159-z
Autor:
Alaa Tharwat
Publikováno v:
Knowledge and Information Systems. 61:1269-1302
Support vector machine (SVM) is one of the well-known learning algorithms for classification and regression problems. SVM parameters such as kernel parameters and penalty parameter have a great influence on the complexity and performance of predictin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a856ee66ee1b88748233b93b85064d96
https://doi.org/10.1007/s10115-019-01335-4
https://doi.org/10.1007/s10115-019-01335-4
Publikováno v:
SDS
A supervised machine learning classifier can only be as good as the labeled training data. For this reason, there is a need for explicit human expert knowledge inside the workflow. Existing data collections often consist of classes different to the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0fdb043eda3ba334ff524b1aa3096d8
https://doi.org/10.1109/sds49233.2020.00023
https://doi.org/10.1109/sds49233.2020.00023