Prediction of new bioactive molecules of chemical compound using boosting ensemble methods

Haslinda Hashim; Faisal Saeed

doi:10.1007/978-981-10-7242-0_22

Prediction of new bioactive molecules of chemical compound using boosting ensemble methods

Haslinda Hashim, Faisal Saeed^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (SciVal)

Original language	English
Title of host publication	Soft Computing in Data Science - 3rd International Conference, SCDS 2017, Proceedings
Editors	Azlinah Mohamed, Bee Wah Yap, Michael W. Berry
Publisher	Springer Verlag
Pages	255-262
Number of pages	8
ISBN (Print)	9789811072413
DOIs	https://doi.org/10.1007/978-981-10-7242-0_22
Publication status	Published (VoR) - 2017
Event	3rd International Conference on Soft Computing in Data Science, SCDS 2017 - Yogyakarta, Indonesia Duration: 27 Nov 2017 → 28 Nov 2017

Publication series

Name	Communications in Computer and Information Science
Volume	788
ISSN (Print)	1865-0929

Conference

Conference	3rd International Conference on Soft Computing in Data Science, SCDS 2017
Country/Territory	Indonesia
City	Yogyakarta
Period	27/11/17 → 28/11/17

Funding

Acknowledgments. This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q.J130000.2528.16H74). This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q.J130000.2528.16H74).

Funders	Funder number
Research Management Centre
Ministry of Higher Education
Ministry of Higher Education, Malaysia
Universiti Teknologi Malaysia	VOT Q.J130000.2528.16H74

Keywords

AdaBoost
Ensemble methods
MultiBoost
Virtual screening

Access to Document

10.1007/978-981-10-7242-0_22

Cite this

Hashim, H., & Saeed, F. (2017). Prediction of new bioactive molecules of chemical compound using boosting ensemble methods. In A. Mohamed, B. W. Yap, & M. W. Berry (Eds.), Soft Computing in Data Science - 3rd International Conference, SCDS 2017, Proceedings (pp. 255-262). (Communications in Computer and Information Science; Vol. 788). Springer Verlag. https://doi.org/10.1007/978-981-10-7242-0_22

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title = "Prediction of new bioactive molecules of chemical compound using boosting ensemble methods",

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author = "Haslinda Hashim and Faisal Saeed",

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year = "2017",

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language = "English",

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publisher = "Springer Verlag",

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Hashim, H & Saeed, F 2017, Prediction of new bioactive molecules of chemical compound using boosting ensemble methods. in A Mohamed, BW Yap & MW Berry (eds), Soft Computing in Data Science - 3rd International Conference, SCDS 2017, Proceedings. Communications in Computer and Information Science, vol. 788, Springer Verlag, pp. 255-262, 3rd International Conference on Soft Computing in Data Science, SCDS 2017, Yogyakarta, Indonesia, 27/11/17. https://doi.org/10.1007/978-981-10-7242-0_22

Prediction of new bioactive molecules of chemical compound using boosting ensemble methods. / Hashim, Haslinda; Saeed, Faisal.
Soft Computing in Data Science - 3rd International Conference, SCDS 2017, Proceedings. ed. / Azlinah Mohamed; Bee Wah Yap; Michael W. Berry. Springer Verlag, 2017. p. 255-262 (Communications in Computer and Information Science; Vol. 788).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Saeed, Faisal

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Prediction of new bioactive molecules of chemical compound using boosting ensemble methods

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Keywords

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