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Enhanced surrogate model assisted feature engineering in machine learning model estimation and interpretation / Mudabbir Ali. [Thesis or Dissertation]

By:

Ali, Mudabbir [FA17-RSE-041/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xv, 111 pages : illustrations ; 30 cm + 1 CD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Computer Science

DDC classification:

004 ALI-E

Other classification:

004 ALI-E

Dissertation note: A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering.External Examiner: Malik Sikandar Hayat Khiyal, Dr. Prof, Preston University Islamabad. COMSATS University Islamabad

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Notes	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 004 ALI-E 10185 (Browse shelf(Opens below))	Link to resource	1	Available	A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering.External Examiner: Malik Sikandar Hayat Khiyal, Dr. Prof, Preston University Islamabad.		10001TP0010185

Total holds: 0

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Previous	T 004 ALI-C 11334 Counterfactual explanation of bayesian model uncertainty /	T 004 ALI-C 11415 Computer-aided analysis of endoscopic-frames for detection of abnormalities in gastrointestinal tract /	T 004 ALI-C 11561 CMMI compliant workflow models as an enabler to implement configuration management process in software SMEs /	T 004 ALI-E 10185 Enhanced surrogate model assisted feature engineering in machine learning model estimation and interpretation /	T 004 ALI-E 10563 Efficient road side unit cache allocation in vehicular network /	T 004 ALI-E 11301 Enabling efficient DDos detection and mitigation in SDN using flexible network monitoring framework /	T 004 ALI-H 10184 Hybird approach for heart disease prediction using random forest and multilayer perceptron /	Next

A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering.External Examiner: Malik Sikandar Hayat Khiyal, Dr. Prof, Preston University Islamabad. COMSATS University Islamabad

MS Software Engineering.External Examiner: Malik Sikandar Hayat Khiyal, Dr. Prof, Preston University Islamabad.

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