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You searched for +publisher:"King Abdullah University of Science and Technology" +contributor:("Moshkov, Mikhail"). Showing records 1 – 30 of 78 total matches.

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King Abdullah University of Science and Technology

1. Altaf, Basmah. Modeling Temporal Bias of Uplift Events in Recommender Systems.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 Today, commercial industry spends huge amount of resources in advertisement campaigns, new marketing strategies, and promotional deals to introduce their product to public and attract… (more)

Subjects/Keywords: uplift events; bias modeling; recommendation systems; netflix; movie lens

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APA (6th Edition):

Altaf, B. (2013). Modeling Temporal Bias of Uplift Events in Recommender Systems. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/292299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Altaf, Basmah. “Modeling Temporal Bias of Uplift Events in Recommender Systems.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/292299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Altaf, Basmah. “Modeling Temporal Bias of Uplift Events in Recommender Systems.” 2013. Web. 12 Apr 2021.

Vancouver:

Altaf B. Modeling Temporal Bias of Uplift Events in Recommender Systems. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/292299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Altaf B. Modeling Temporal Bias of Uplift Events in Recommender Systems. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/292299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

2. Akujuobi, Uchenna Thankgod. Link Label Prediction in Signed Citation Network.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 Link label prediction is the problem of predicting the missing labels or signs of all the unlabeled edges in a network. For signed networks, these… (more)

Subjects/Keywords: link label prediction; citation network; signed network; label propagation; pageRank; SVM

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APA (6th Edition):

Akujuobi, U. T. (2016). Link Label Prediction in Signed Citation Network. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/607760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Akujuobi, Uchenna Thankgod. “Link Label Prediction in Signed Citation Network.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/607760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Akujuobi, Uchenna Thankgod. “Link Label Prediction in Signed Citation Network.” 2016. Web. 12 Apr 2021.

Vancouver:

Akujuobi UT. Link Label Prediction in Signed Citation Network. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/607760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akujuobi UT. Link Label Prediction in Signed Citation Network. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/607760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

3. Wang, Su. Exploring Ocean Animal Trajectory Pattern via Deep Learning.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 We trained a combined deep convolutional neural network to predict seals’ age (3 categories) and gender (2 categories). The entire dataset contains 110 seals with… (more)

Subjects/Keywords: deep learning; animal trajectory; convolutional neural network; feature representation

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APA (6th Edition):

Wang, S. (2016). Exploring Ocean Animal Trajectory Pattern via Deep Learning. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/610580

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Su. “Exploring Ocean Animal Trajectory Pattern via Deep Learning.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/610580.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Su. “Exploring Ocean Animal Trajectory Pattern via Deep Learning.” 2016. Web. 12 Apr 2021.

Vancouver:

Wang S. Exploring Ocean Animal Trajectory Pattern via Deep Learning. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/610580.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang S. Exploring Ocean Animal Trajectory Pattern via Deep Learning. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/610580

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

4. Rashid, Faraan. Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2012, King Abdullah University of Science and Technology

 Efficient implementation of resource sharing strategies in a multi-user wireless environment can improve the performance of a network significantly. In this thesis we study various… (more)

Subjects/Keywords: Scheduling; Feedback; Fairness; Splitting; Opportunistic; Multi-user diversity

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APA (6th Edition):

Rashid, F. (2012). Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/237211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rashid, Faraan. “Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users.” 2012. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/237211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rashid, Faraan. “Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users.” 2012. Web. 12 Apr 2021.

Vancouver:

Rashid F. Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/237211.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rashid F. Low-Feedback Opportunistic Scheduling Schemes for Wireless Networks with Heterogenous Users. [Thesis]. King Abdullah University of Science and Technology; 2012. Available from: http://hdl.handle.net/10754/237211

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

5. Boudellioua, Imene. A Vehicular Guidance Wireless Sensor/Actuator Network.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2012, King Abdullah University of Science and Technology

 Sensor networks have been heralded as one of 21 most important technologies for the 21st century by Business Week [1]. Wireless sensor/actuator networks (WSANs)are emerging… (more)

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APA (6th Edition):

Boudellioua, I. (2012). A Vehicular Guidance Wireless Sensor/Actuator Network. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/248713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boudellioua, Imene. “A Vehicular Guidance Wireless Sensor/Actuator Network.” 2012. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/248713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boudellioua, Imene. “A Vehicular Guidance Wireless Sensor/Actuator Network.” 2012. Web. 12 Apr 2021.

Vancouver:

Boudellioua I. A Vehicular Guidance Wireless Sensor/Actuator Network. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/248713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boudellioua I. A Vehicular Guidance Wireless Sensor/Actuator Network. [Thesis]. King Abdullah University of Science and Technology; 2012. Available from: http://hdl.handle.net/10754/248713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

6. Olayan, Rawan S. Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2012, King Abdullah University of Science and Technology

 In classification problems, it is always important to use the suitable combination of features that will be employed by classifiers. Generating the right combination of… (more)

Subjects/Keywords: machine learning; oncogenes; oncosuppressors; ovarian cancer

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APA (6th Edition):

Olayan, R. S. (2012). Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/264673

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Olayan, Rawan S. “Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification.” 2012. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/264673.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Olayan, Rawan S. “Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification.” 2012. Web. 12 Apr 2021.

Vancouver:

Olayan RS. Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/264673.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Olayan RS. Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification. [Thesis]. King Abdullah University of Science and Technology; 2012. Available from: http://hdl.handle.net/10754/264673

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

7. Bin Res, Arwa A. Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2012, King Abdullah University of Science and Technology

 Associations between methylated genes and diseases have been investigated in several studies, and it is critical to have such information available for better understanding of… (more)

Subjects/Keywords: Bioinformatics; genes; Diseases; Text Mining; Methylation; Association extraction

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APA (6th Edition):

Bin Res, A. A. (2012). Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/264674

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bin Res, Arwa A. “Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature.” 2012. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/264674.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bin Res, Arwa A. “Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature.” 2012. Web. 12 Apr 2021.

Vancouver:

Bin Res AA. Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2012. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/264674.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bin Res AA. Automated Extraction Of Associations Between Methylated Genes and Diseases From Biomedical Literature. [Thesis]. King Abdullah University of Science and Technology; 2012. Available from: http://hdl.handle.net/10754/264674

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

8. Daghistani, Anas H. Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 Power management is an active area of research in wireless sensor networks (WSNs). Efficient power management is necessary because WSNs are battery-operated devices that can… (more)

Subjects/Keywords: energy-efficient; frame fragmentation; wireless sensor network; power adaptive

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APA (6th Edition):

Daghistani, A. H. (2013). Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/292319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daghistani, Anas H. “Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/292319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daghistani, Anas H. “Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks.” 2013. Web. 12 Apr 2021.

Vancouver:

Daghistani AH. Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/292319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daghistani AH. Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/292319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

9. Binyahib, Roba S. Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 With an increase in processing power, more complex simulations have resulted in larger data size, with higher resolution and more variables. Many techniques have been… (more)

Subjects/Keywords: explorable images; iso-surfaces; deep images; remote visualization; deferred shading; image-based rendering

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APA (6th Edition):

Binyahib, R. S. (2013). Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/292460

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Binyahib, Roba S. “Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/292460.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Binyahib, Roba S. “Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space.” 2013. Web. 12 Apr 2021.

Vancouver:

Binyahib RS. Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/292460.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Binyahib RS. Image-based Exploration of Iso-surfaces for Large Multi- Variable Datasets using Parameter Space. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/292460

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

10. Othoum, Ghofran K. Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes.

Degree: Biological and Environmental Sciences and Engineering (BESE) Division, 2013, King Abdullah University of Science and Technology

 Promoters, neighboring regulatory regions and those extending further upstream of the 5’end of genes, are considered one of the main components affecting the expression status… (more)

Subjects/Keywords: 3'end regions; regulatory regions; data mining; clustering analysis; classification model; ovarian cancer

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APA (6th Edition):

Othoum, G. K. (2013). Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/292823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Othoum, Ghofran K. “Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/292823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Othoum, Ghofran K. “Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes.” 2013. Web. 12 Apr 2021.

Vancouver:

Othoum GK. Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/292823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Othoum GK. Identifying Regulatory Patterns at the 3'end Regions of Over-expressed and Under-expressed Genes. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/292823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

11. Amir, Sahar. Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 We introduce an efficient thermodynamically consistent technique to extrapolate and interpolate normalized Canonical NVT ensemble averages like pressure and energy for Lennard-Jones (L-J) fluids. Preliminary… (more)

Subjects/Keywords: molecular Simulation; Monte Carlo; Lenward-Jones Fluid; Interpolation; extrapolation; canonical ensemble

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

APA (6th Edition):

Amir, S. (2013). Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/292974

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Amir, Sahar. “Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/292974.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amir, Sahar. “Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines.” 2013. Web. 12 Apr 2021.

Vancouver:

Amir S. Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/292974.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amir S. Accelerating Monte Carlo Molecular Simulations Using Novel Extrapolation Schemes Combined with Fast Database Generation on Massively Parallel Machines. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/292974

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

12. Arkasosy, Basil. Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 Ambiguity in texts is a well-known problem: words can carry several meanings, and hence, can be read and interpreted differently. This is also true in… (more)

Subjects/Keywords: analysis; genes; name synonyms; entrez gene; protein; UniProtKB

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APA (6th Edition):

Arkasosy, B. (2013). Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/293325

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arkasosy, Basil. “Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/293325.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arkasosy, Basil. “Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources.” 2013. Web. 12 Apr 2021.

Vancouver:

Arkasosy B. Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/293325.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arkasosy B. Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/293325

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

13. Bahabri, Rihab R. PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2013, King Abdullah University of Science and Technology

 Activities of DNA are to a great extent controlled epigenetically through the internal struc- ture of chromatin. This structure is dynamic and is influenced by… (more)

Subjects/Keywords: chromatin; machine learning; motifs

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APA (6th Edition):

Bahabri, R. R. (2013). PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/293891

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bahabri, Rihab R. “PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/293891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bahabri, Rihab R. “PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES.” 2013. Web. 12 Apr 2021.

Vancouver:

Bahabri RR. PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/293891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bahabri RR. PREDICTION OF CHROMATIN STATES USING DNA SEQUENCE PROPERTIES. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/293891

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

14. Mencel, Liam A. A Faster Algorithm for Computing Straight Skeletons.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2014, King Abdullah University of Science and Technology

 We present a new algorithm for computing the straight skeleton of a polygon. For a polygon with n vertices, among which r are reflex vertices,… (more)

Subjects/Keywords: straight skeleton; algorithm; computional geometry; theory

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APA (6th Edition):

Mencel, L. A. (2014). A Faster Algorithm for Computing Straight Skeletons. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/316713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mencel, Liam A. “A Faster Algorithm for Computing Straight Skeletons.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/316713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mencel, Liam A. “A Faster Algorithm for Computing Straight Skeletons.” 2014. Web. 12 Apr 2021.

Vancouver:

Mencel LA. A Faster Algorithm for Computing Straight Skeletons. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/316713.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mencel LA. A Faster Algorithm for Computing Straight Skeletons. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/316713

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

15. Busbait, Monther I. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2014, King Abdullah University of Science and Technology

 We study the depth of decision trees for diagnosis of constant faults in read-once contact networks over finite bases. This includes diagnosis of 0-1 faults,… (more)

Subjects/Keywords: read-once contact networks; constant faults; decision trees

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APA (6th Edition):

Busbait, M. I. (2014). Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/316551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Busbait, Monther I. “Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/316551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Busbait, Monther I. “Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees.” 2014. Web. 12 Apr 2021.

Vancouver:

Busbait MI. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/316551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Busbait MI. Diagnosis of Constant Faults in Read-Once Contact Networks over Finite Bases using Decision Trees. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/316551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

16. Shono, Ahmad N. Efficient Generation and Selection of Combined Features for Improved Classification.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2014, King Abdullah University of Science and Technology

 This study contributes a methodology and associated toolkit developed to allow users to experiment with the use of combined features in classification problems. Methods are… (more)

Subjects/Keywords: Classification; Combined; Discovery; DCFD; Features

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APA (6th Edition):

Shono, A. N. (2014). Efficient Generation and Selection of Combined Features for Improved Classification. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/316714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shono, Ahmad N. “Efficient Generation and Selection of Combined Features for Improved Classification.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/316714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shono, Ahmad N. “Efficient Generation and Selection of Combined Features for Improved Classification.” 2014. Web. 12 Apr 2021.

Vancouver:

Shono AN. Efficient Generation and Selection of Combined Features for Improved Classification. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/316714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shono AN. Efficient Generation and Selection of Combined Features for Improved Classification. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/316714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Nagoor, Omniah H. Image-based Exploration of Large-Scale Pathline Fields.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2014, King Abdullah University of Science and Technology

 While real-time applications are nowadays routinely used in visualizing large nu- merical simulations and volumes, handling these large-scale datasets requires high-end graphics clusters or supercomputers… (more)

Subjects/Keywords: image-based; per-pixel linked list; pathlines fields; explorable images; deferred shading; early-ray termination

Page 1

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APA (6th Edition):

Nagoor, O. H. (2014). Image-based Exploration of Large-Scale Pathline Fields. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/321000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nagoor, Omniah H. “Image-based Exploration of Large-Scale Pathline Fields.” 2014. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/321000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nagoor, Omniah H. “Image-based Exploration of Large-Scale Pathline Fields.” 2014. Web. 12 Apr 2021.

Vancouver:

Nagoor OH. Image-based Exploration of Large-Scale Pathline Fields. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/321000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nagoor OH. Image-based Exploration of Large-Scale Pathline Fields. [Thesis]. King Abdullah University of Science and Technology; 2014. Available from: http://hdl.handle.net/10754/321000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

18. Alsolami, Fawaz. Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 ‘If-then’ rule sets are one of the most expressive and human-readable knowledge representations. This thesis deals with optimization and analysis of decision and inhibitory rules… (more)

Subjects/Keywords: rule optimization; decision rules; inhibitory rules; Dynamic Programming; decision tables with many valued decisions

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APA (6th Edition):

Alsolami, F. (2016). Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/607196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alsolami, Fawaz. “Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/607196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alsolami, Fawaz. “Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions.” 2016. Web. 12 Apr 2021.

Vancouver:

Alsolami F. Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/607196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsolami F. Decision and Inhibitory Rule Optimization for Decision Tables with Many-valued Decisions. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/607196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

19. Alghamdi, Wael. Construction of Capacity Achieving Lattice Gaussian Codes.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 We propose a new approach to proving results regarding channel coding schemes based on construction-A lattices for the Additive White Gaussian Noise (AWGN) channel that… (more)

Subjects/Keywords: Algebraic; Coding; AWGN-good; Poltyrev; Lattice; Loeliger

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APA (6th Edition):

Alghamdi, W. (2016). Construction of Capacity Achieving Lattice Gaussian Codes. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/609876

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alghamdi, Wael. “Construction of Capacity Achieving Lattice Gaussian Codes.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/609876.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alghamdi, Wael. “Construction of Capacity Achieving Lattice Gaussian Codes.” 2016. Web. 12 Apr 2021.

Vancouver:

Alghamdi W. Construction of Capacity Achieving Lattice Gaussian Codes. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/609876.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alghamdi W. Construction of Capacity Achieving Lattice Gaussian Codes. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/609876

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

20. Hussain, Shahid. Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 This thesis is devoted to the development of extensions of dynamic programming to the study of decision trees. The considered extensions allow us to make… (more)

Subjects/Keywords: dynamic programming; Decision Trees; cost functions; bi-criteria optimization; multi-stage optimization; Data Mining

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APA (6th Edition):

Hussain, S. (2016). Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/615875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hussain, Shahid. “Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/615875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hussain, Shahid. “Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining.” 2016. Web. 12 Apr 2021.

Vancouver:

Hussain S. Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/615875.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hussain S. Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/615875

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

21. Alharbi, Basma Mohammed. Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 In the mobile era, data capturing individuals’ locations have become unprecedentedly available. Data from Location-Based Social Networks is one example of large-scale user-location data. Such… (more)

Subjects/Keywords: mobility pattern inference; graphical models; mixed-membership models; Representation learning

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APA (6th Edition):

Alharbi, B. M. (2017). Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/623122

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alharbi, Basma Mohammed. “Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/623122.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alharbi, Basma Mohammed. “Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata.” 2017. Web. 12 Apr 2021.

Vancouver:

Alharbi BM. Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/623122.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alharbi BM. Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/623122

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

22. Amin, Talha M. Design and Analysis of Decision Rules via Dynamic Programming.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 The areas of machine learning, data mining, and knowledge representation have many different formats used to represent information. Decision rules, amongst these formats, are the… (more)

Subjects/Keywords: decision rules; Dynamic Programming; Greedy heuristics; optimization; pareto optimality

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APA (6th Edition):

Amin, T. M. (2017). Design and Analysis of Decision Rules via Dynamic Programming. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/623282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Amin, Talha M. “Design and Analysis of Decision Rules via Dynamic Programming.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/623282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amin, Talha M. “Design and Analysis of Decision Rules via Dynamic Programming.” 2017. Web. 12 Apr 2021.

Vancouver:

Amin TM. Design and Analysis of Decision Rules via Dynamic Programming. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/623282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amin TM. Design and Analysis of Decision Rules via Dynamic Programming. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/623282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

23. Magana-Mora, Arturo. Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 Machine-learning (ML) techniques have been widely applied to solve different problems in biology. However, biological data are large and complex, which often result in extremely… (more)

Subjects/Keywords: omlnivariate decision trees; Machine Learning; polyadenylation signals; Bioinformatics; translation initiation sites; Data Mining

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APA (6th Edition):

Magana-Mora, A. (2017). Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/623317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Magana-Mora, Arturo. “Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/623317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Magana-Mora, Arturo. “Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics.” 2017. Web. 12 Apr 2021.

Vancouver:

Magana-Mora A. Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/623317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Magana-Mora A. Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/623317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

24. Motwalli, Olaa Amin. Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 Finding a source from which high-energy-density biofuels can be derived at an industrial scale has become an urgent challenge for renewable energy production. Some microorganisms… (more)

Subjects/Keywords: computational; methods; development; cyanofactories; free fatty acid; production

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APA (6th Edition):

Motwalli, O. A. (2017). Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/623742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Motwalli, Olaa Amin. “Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/623742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Motwalli, Olaa Amin. “Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production.” 2017. Web. 12 Apr 2021.

Vancouver:

Motwalli OA. Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/623742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Motwalli OA. Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/623742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

25. Alzahrani, Majed A. Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 Growth phenotype profiling of genome-wide gene-deletion strains over stress conditions can offer a clear picture that the essentiality of genes depends on environmental conditions. Systematically… (more)

Subjects/Keywords: data mining; biclustering; phenotype profiling data

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APA (6th Edition):

Alzahrani, M. A. (2017). Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/625171

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alzahrani, Majed A. “Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/625171.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alzahrani, Majed A. “Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering.” 2017. Web. 12 Apr 2021.

Vancouver:

Alzahrani MA. Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/625171.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alzahrani MA. Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/625171

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

26. Azad, Mohammad. Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2018, King Abdullah University of Science and Technology

 Decision trees are one of the most commonly used tools in decision analysis, knowledge representation, machine learning, etc., for its simplicity and interpretability. We consider… (more)

Subjects/Keywords: decision table and tree; Dynamic Programming; bi-criteria optimization; Inhibitory tree; Multi-stage optimization; inconsistent table

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APA (6th Edition):

Azad, M. (2018). Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/628023

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Azad, Mohammad. “Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/628023.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Azad, Mohammad. “Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions.” 2018. Web. 12 Apr 2021.

Vancouver:

Azad M. Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/628023.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Azad M. Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/628023

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

27. Althubaiti, Sara. Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2018, King Abdullah University of Science and Technology

 Millions of somatic mutations in human cancers have been identified by sequenc- ing. Identifying and distinguishing cancer driver genes amongst the millions of candi- date… (more)

Subjects/Keywords: driver genes; neural network; driver mutations; ontology beddings; prediction model

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APA (6th Edition):

Althubaiti, S. (2018). Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/629729

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Althubaiti, Sara. “Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/629729.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Althubaiti, Sara. “Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations.” 2018. Web. 12 Apr 2021.

Vancouver:

Althubaiti S. Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/629729.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Althubaiti S. Variants Prioritization in Cancer: Understanding and Predicting Cancer Driver Genes and Mutations. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/629729

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

28. Islam, Elaf J. Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2018, King Abdullah University of Science and Technology

 This study considers chemical compounds that can exert their activity by interacting with a target protein or other molecular receptors. Our aim is to develop… (more)

Subjects/Keywords: machine learning; bioinformatics; prediction chemical; compounds activities

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APA (6th Edition):

Islam, E. J. (2018). Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/630092

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Islam, Elaf J. “Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/630092.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Islam, Elaf J. “Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays.” 2018. Web. 12 Apr 2021.

Vancouver:

Islam EJ. Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/630092.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Islam EJ. Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/630092

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

29. Raies, Arwa B. Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2018, King Abdullah University of Science and Technology

 The task of association extraction involves identifying links between different entities. Here, we make contributions to two applications related to the biomedical field. The first… (more)

Subjects/Keywords: machine learning; text mining; computational toxicology; DNA methylation; multi-lable classification; multi-target regression

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APA (6th Edition):

Raies, A. B. (2018). Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/630106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raies, Arwa B. “Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/630106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raies, Arwa B. “Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology.” 2018. Web. 12 Apr 2021.

Vancouver:

Raies AB. Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/630106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raies AB. Contributions to Computational Methods for Association Extraction from Biomedical Data: Applications to Text Mining and In Silico Toxicology. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/630106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

30. Shaker, Ghofran H. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2019, King Abdullah University of Science and Technology

 Successful characterization of vortex structures in unsteady flow fields depend crucially upon an adequate choice of a reference frame. Vortex detection approaches in flow visualization… (more)

Subjects/Keywords: Vortices; Feature detection; Flow field

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

APA (6th Edition):

Shaker, G. H. (2019). Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/656247

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shaker, Ghofran H. “Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.” 2019. Thesis, King Abdullah University of Science and Technology. Accessed April 12, 2021. http://hdl.handle.net/10754/656247.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shaker, Ghofran H. “Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.” 2019. Web. 12 Apr 2021.

Vancouver:

Shaker GH. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/10754/656247.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shaker GH. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. [Thesis]. King Abdullah University of Science and Technology; 2019. Available from: http://hdl.handle.net/10754/656247

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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