Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `+publisher:"University of Florida" +contributor:("LAN,GUANGHUI")`

.
Showing records 1 – 13 of
13 total matches.

▼ Search Limiters

University of Florida

1. Zhou, Zhiqiang. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.

Degree: MS, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047301

► The main goal of this paper is to develop a new stochastic subgradient method for constrained stochastic convex optimization problems. The problem we are interested…
(more)

Subjects/Keywords: Approximation; Entropy; Estimated cost to complete; Keywords; optimization – rubust – stochastic

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhou, Z. (2014). Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047301

Chicago Manual of Style (16^{th} Edition):

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Masters Thesis, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0047301.

MLA Handbook (7^{th} Edition):

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Web. 05 Apr 2020.

Vancouver:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0047301.

Council of Science Editors:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Masters Thesis]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047301

University of Florida

2. Su, Suiyi. Sample Path Based Optimal Position Liquidation with CVaR Risk.

Degree: MS, Industrial and Systems Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044708

► The purpose of this research is to investigate devising theoptimal position liquidation strategies in financial markets. During the transaction of large block orders, investors need…
(more)

Subjects/Keywords: Anticipation; Assets; Datasets; Market prices; Mathematical monotonicity; Mathematics; Matrices; Objective functions; Prices; Real prices; convex – execution – guard – nonanticipativity – optimal – portfolio – programming – safe – stochastic – trading

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Su, S. (2012). Sample Path Based Optimal Position Liquidation with CVaR Risk. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044708

Chicago Manual of Style (16^{th} Edition):

Su, Suiyi. “Sample Path Based Optimal Position Liquidation with CVaR Risk.” 2012. Masters Thesis, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0044708.

MLA Handbook (7^{th} Edition):

Su, Suiyi. “Sample Path Based Optimal Position Liquidation with CVaR Risk.” 2012. Web. 05 Apr 2020.

Vancouver:

Su S. Sample Path Based Optimal Position Liquidation with CVaR Risk. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0044708.

Council of Science Editors:

Su S. Sample Path Based Optimal Position Liquidation with CVaR Risk. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044708

University of Florida

3. Ghadimi, Saeed. Finite-Time Convergence Properties of Methods for Stochastic Programming.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047032

► In this dissertation, we mainly focus on establishing finite-time convergence of the iterative algorithms for solving both convex and nonconvex stochastic programming (SP) problems. In…
(more)

Subjects/Keywords: Algorithms; Approximation; Convexity; Data smoothing; Gradient method; Iterative solutions; Objective functions; Optimal solutions; Oracles; Probability mass distributions; algorithm – approximation – complexity – convex – nonconvex – optimazation – programming – randomized – stochastic

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ghadimi, S. (2014). Finite-Time Convergence Properties of Methods for Stochastic Programming. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047032

Chicago Manual of Style (16^{th} Edition):

Ghadimi, Saeed. “Finite-Time Convergence Properties of Methods for Stochastic Programming.” 2014. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0047032.

MLA Handbook (7^{th} Edition):

Ghadimi, Saeed. “Finite-Time Convergence Properties of Methods for Stochastic Programming.” 2014. Web. 05 Apr 2020.

Vancouver:

Ghadimi S. Finite-Time Convergence Properties of Methods for Stochastic Programming. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0047032.

Council of Science Editors:

Ghadimi S. Finite-Time Convergence Properties of Methods for Stochastic Programming. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047032

University of Florida

4. Sethi, Manu. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049274

► The focus in this dissertation is to estimate the motion of pixels in images. Specifically, we make contributions in the areas of image registration and…
(more)

Subjects/Keywords: Computer vision; Data smoothing; Fourier transformations; Hogs; Images; Images of transformations; Line segments; Moving images; Objective functions; Pixels; flow – majorization – multiframe – optical – registration – supervoxels

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sethi, M. (2015). Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049274

Chicago Manual of Style (16^{th} Edition):

Sethi, Manu. “Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.” 2015. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0049274.

MLA Handbook (7^{th} Edition):

Sethi, Manu. “Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.” 2015. Web. 05 Apr 2020.

Vancouver:

Sethi M. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0049274.

Council of Science Editors:

Sethi M. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049274

University of Florida

5. Nguyen, Trang Thi Le. Convexification Techniques for Complementarity and Multilinear Constraints.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045295

► In this Dissertation, we develop tighter convex relaxations for polyhedral sets with complementarity constraints and multilinear constraints using tools inspired from integer programming. Firstly, we…
(more)

Subjects/Keywords: Algorithms; Integers; Linear inequalities; Linear programming; Mathematical inequalities; Optimal solutions; Polyhedrons; Polynomials; Relaxation techniques; Tableaux; complementarity – convexification – multilinear

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Nguyen, T. T. L. (2013). Convexification Techniques for Complementarity and Multilinear Constraints. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045295

Chicago Manual of Style (16^{th} Edition):

Nguyen, Trang Thi Le. “Convexification Techniques for Complementarity and Multilinear Constraints.” 2013. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0045295.

MLA Handbook (7^{th} Edition):

Nguyen, Trang Thi Le. “Convexification Techniques for Complementarity and Multilinear Constraints.” 2013. Web. 05 Apr 2020.

Vancouver:

Nguyen TTL. Convexification Techniques for Complementarity and Multilinear Constraints. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0045295.

Council of Science Editors:

Nguyen TTL. Convexification Techniques for Complementarity and Multilinear Constraints. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045295

University of Florida

6. Deng, Qi. New Nonsmooth Convex Optimization Methods for Machine Learning.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049608

► Machine learning studies how to build models and develop algorithms that can learn from the data. Central to the machine learning area is the design…
(more)

Subjects/Keywords: Algorithms; Approximation; Averaging methods; Coordinate systems; Data smoothing; Datasets; Linear regression; Machine learning; Saddle points; Search engine optimization; learning – machine – optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Deng, Q. (2015). New Nonsmooth Convex Optimization Methods for Machine Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049608

Chicago Manual of Style (16^{th} Edition):

Deng, Qi. “New Nonsmooth Convex Optimization Methods for Machine Learning.” 2015. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0049608.

MLA Handbook (7^{th} Edition):

Deng, Qi. “New Nonsmooth Convex Optimization Methods for Machine Learning.” 2015. Web. 05 Apr 2020.

Vancouver:

Deng Q. New Nonsmooth Convex Optimization Methods for Machine Learning. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0049608.

Council of Science Editors:

Deng Q. New Nonsmooth Convex Optimization Methods for Machine Learning. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049608

University of Florida

7. Wang, Qianfan. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045153

► Stochastic programming is a common approach to solving decision-making problems under uncertainty in power systems optimization. In this dissertation, we first present a unit commitment…
(more)

Subjects/Keywords: Algorithms; Approximation; Electricity; Expected values; Objective functions; Randomness; Sample size; Transmission lines; Unit costs; Wind power; algorithms – optimization – stochastic

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, Q. (2013). Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045153

Chicago Manual of Style (16^{th} Edition):

Wang, Qianfan. “Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.” 2013. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0045153.

MLA Handbook (7^{th} Edition):

Wang, Qianfan. “Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.” 2013. Web. 05 Apr 2020.

Vancouver:

Wang Q. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0045153.

Council of Science Editors:

Wang Q. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045153

University of Florida

8. Li, Junjie. GPU Algorithms for Bioinformatics.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046103

► Graphics Processing Units (GPUs) were developed originally to meet the computational needs of algorithms for rendering computer graphics. Their low cost per gigaflop has motivated…
(more)

Subjects/Keywords: Algorithms; Bioinformatics; Bytes; Computer memory; Input output; Matrices; Multiprocessors; RNA; Run time; Sequence alignment; algorithms – bioinformatics – gpu

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Li, J. (2014). GPU Algorithms for Bioinformatics. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046103

Chicago Manual of Style (16^{th} Edition):

Li, Junjie. “GPU Algorithms for Bioinformatics.” 2014. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0046103.

MLA Handbook (7^{th} Edition):

Li, Junjie. “GPU Algorithms for Bioinformatics.” 2014. Web. 05 Apr 2020.

Vancouver:

Li J. GPU Algorithms for Bioinformatics. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0046103.

Council of Science Editors:

Li J. GPU Algorithms for Bioinformatics. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046103

University of Florida

9. Fan,Neng. Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems.

Degree: PhD, Industrial and Systems Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043200

► With the increasing number of databases appearing in computational biology, biomedical engineering, consumers' behavior survey, social networks, power systems, and many other areas, finding the…
(more)

Subjects/Keywords: Algorithms; Bioinformatics; Cardinality; Integers; Linear programming; Matrices; Objective functions; Power grids; Spectral methods; Vertices; biclustering – clustering – combinatorial – graph – integer – islanding – nonlinear

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Fan,Neng. (2011). Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043200

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

Fan,Neng. “Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0043200.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Fan,Neng. “Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems.” 2011. Web. 05 Apr 2020.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

Fan,Neng. Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0043200.

Author name may be incomplete

Council of Science Editors:

Fan,Neng. Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043200

Author name may be incomplete

University of Florida

10. Xu, Hongsheng. Electricity Blackout and Power Security Survey and Analysis.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044419

► Electricity power systems are critical to any country’s economy and security. Blackout, the most severe form of power loss to a relatively wide area, posting…
(more)

Subjects/Keywords: Algorithms; Blackouts; Buses; Economic models; Electric power; Linear programming; Modeling; Power grids; Power lines; Transmission lines; contingency – grid – power – security

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xu, H. (2012). Electricity Blackout and Power Security Survey and Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044419

Chicago Manual of Style (16^{th} Edition):

Xu, Hongsheng. “Electricity Blackout and Power Security Survey and Analysis.” 2012. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0044419.

MLA Handbook (7^{th} Edition):

Xu, Hongsheng. “Electricity Blackout and Power Security Survey and Analysis.” 2012. Web. 05 Apr 2020.

Vancouver:

Xu H. Electricity Blackout and Power Security Survey and Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0044419.

Council of Science Editors:

Xu H. Electricity Blackout and Power Security Survey and Analysis. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044419

University of Florida

11. Dang, Cong Dinh. Randomized First Order Methods for Convex and Nonconvex Optimization.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0046978

In this dissertation, we propose some first order methods for solving various problems of convex
*Advisors/Committee Members: LAN,GUANGHUI (committee chair), LAWPHONGPANICH,SIRIPHONG (committee member), XIA,YE (committee member).*

Subjects/Keywords: Algorithms; Approximation; Convexity; Coordinate systems; Datasets; Machine learning; Mathematical programming; Random variables; Saddle points; Systems engineering; first – methods – order – randomized

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dang, C. D. (2015). Randomized First Order Methods for Convex and Nonconvex Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046978

Chicago Manual of Style (16^{th} Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0046978.

MLA Handbook (7^{th} Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Web. 05 Apr 2020.

Vancouver:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0046978.

Council of Science Editors:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0046978

University of Florida

12. Wang, Ximing. Machine Learning Optimization Models with Data Uncertainties.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049100

Subjects/Keywords: machine-learning; optimization; uncertainties

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, X. (2015). Machine Learning Optimization Models with Data Uncertainties. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049100

Chicago Manual of Style (16^{th} Edition):

Wang, Ximing. “Machine Learning Optimization Models with Data Uncertainties.” 2015. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0049100.

MLA Handbook (7^{th} Edition):

Wang, Ximing. “Machine Learning Optimization Models with Data Uncertainties.” 2015. Web. 05 Apr 2020.

Vancouver:

Wang X. Machine Learning Optimization Models with Data Uncertainties. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0049100.

Council of Science Editors:

Wang X. Machine Learning Optimization Models with Data Uncertainties. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049100

University of Florida

13. Xanthopoulos,Petros. Robust Data Mining Techniques with Application in Biomedicine and Engineering.

Degree: PhD, Industrial and Systems Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043173

Analysis and interpretation of large datasets is a very significant problem that
*Advisors/Committee Members: Pardalos, Panagote M (committee chair), Geunes, Joseph P (committee member), Lan, Guanghui (committee member), Thai, My Tra (committee member).*

Subjects/Keywords: Algorithms; Datasets; Eigenvalues; Hyperplanes; Least squares; Linear programming; Mathematical vectors; Matrices; Mining; Robust optimization; data – robust – supervised – uncertainty

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xanthopoulos,Petros. (2011). Robust Data Mining Techniques with Application in Biomedicine and Engineering. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043173

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

Xanthopoulos,Petros. “Robust Data Mining Techniques with Application in Biomedicine and Engineering.” 2011. Doctoral Dissertation, University of Florida. Accessed April 05, 2020. http://ufdc.ufl.edu/UFE0043173.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Xanthopoulos,Petros. “Robust Data Mining Techniques with Application in Biomedicine and Engineering.” 2011. Web. 05 Apr 2020.

Author name may be incomplete

Vancouver:

Xanthopoulos,Petros. Robust Data Mining Techniques with Application in Biomedicine and Engineering. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Apr 05]. Available from: http://ufdc.ufl.edu/UFE0043173.

Author name may be incomplete

Council of Science Editors:

Xanthopoulos,Petros. Robust Data Mining Techniques with Application in Biomedicine and Engineering. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043173

Author name may be incomplete