Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Khobaib Zaamout"'
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:659-671
A social crowdsourcing community (SCC) is a moderated online community where members participate in activities designed to elicit their opinions concerning topics related to products or services. This emerging paradigm of human computation systems is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f49fe8ffcf12afbbae69d44c6e68c8a
https://doi.org/10.1109/tcss.2020.2981608
https://doi.org/10.1109/tcss.2020.2981608
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2a431d3521524f9f90bbd0c461210e
https://doi.org/10.2139/ssrn.4137562
https://doi.org/10.2139/ssrn.4137562
Publikováno v:
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84581e0dd868cd24b032b11501107a36
https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00053
https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00053
Autor:
Khobaib Zaamout, Ken Barker
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 6:203-212
We analyze crowdsourcing communities by creating a detailed process for quantifying individual behaviour in online environments. The key feature of our communities is their social interactions so we call these social crowdsourcing communities (SCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8027a9c38d4474468caa2f9532657eb
https://doi.org/10.1609/hcomp.v6i1.13323
https://doi.org/10.1609/hcomp.v6i1.13323
Autor:
Ken Barker, Khobaib Zaamout
Publikováno v:
IEEE Transactions on Computational Social Systems. 5:144-155
Due to the interest of organizations and academics, crowdsourcing is emerging as an area of targeted social networking. The recent popularity and notable rise of crowdsourcing provides us with the opportunity to study these emerging communities to st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe46ab2eadaa14ffaf1926ee9358dd1f
https://doi.org/10.1109/tcss.2017.2768325
https://doi.org/10.1109/tcss.2017.2768325
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:1317-1317
In the above article [1] , the byline should have identified the second author with his ORCID (0000-0001-8762-6820). Also, the caption of Fig. 14 should have read as follows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45276613f2421d43f8424f7e664c9283
https://doi.org/10.1109/tcss.2020.3026515
https://doi.org/10.1109/tcss.2020.3026515
Autor:
Khobaib Zaamout, John Z. Zhang
Publikováno v:
ICNC
We consider using neural networks as an ensemble technique to improve classification accuracy. Neural networks are among the best techniques used for classification. In this work, we make use of ensemble approach to combine individual neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5662f920d814eec6e71fdf0c3ca1feb5
https://doi.org/10.1109/icnc.2012.6234540
https://doi.org/10.1109/icnc.2012.6234540
Autor:
John Z. Zhang, Khobaib Zaamout
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2012 ISBN: 9783642332654
ICANN (2)
ICANN (2)
We present a new ensemble technique, namely chaining neural networks, as our efforts to improve neural classification. We show that using predictions of a neural network as input to another neural network trained on the same dataset will improve clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ea6de4039bed13c498bf7b15b022fef
https://doi.org/10.1007/978-3-642-33266-1_36
https://doi.org/10.1007/978-3-642-33266-1_36
Publikováno v:
2012 8th International Conference on Natural Computation; 1/ 1/2012, pxiii-xxxii, 20p
The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefull